{"id":"054e8f4d-b233-4929-8787-a9e96455c033","entityType":"agent","slug":"clawhub-athola-nm-tome-synthesize","name":"synthesize","canonicalUrl":"https://www.xpersona.co/agent/clawhub-athola-nm-tome-synthesize","canonicalPath":"/agent/clawhub-athola-nm-tome-synthesize","generatedAt":"2026-10-10T10:58:54.292Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-10T06:10:58.511Z","emptyReason":null},"description":"Merges, dedupes, ranks, and formats research findings into a report. Use after research agents return results from multiple channels to produce a ranked report Skill: synthesize Owner: athola Summary: Merges, dedupes, ranks, and formats research findings into a report. Use after research agents return results from multiple channels to produce a ranked report Tags: latest:1.9.19 Version history: v1.9.19 | 2026-08-26T13:23:52.402Z | user Release v1.9.19 v1.9.17 | 2026-07-30T05:43:32.953Z | user Release v1.9.17 v1.9.16 | 2026-07-14T20:00:21.310Z | user Release v1.9.16 v1.9.14","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 1.6K downloads reported by the source. Last updated 10/10/2026.","installCommand":"clawhub skill install s17emme0e2m3cpf7k2jvp3a84984b8z9:nm-tome-synthesize","sourceUrl":"https://clawhub.ai/athola/nm-tome-synthesize","homepage":"https://clawhub.ai/athola/skills/nm-tome-synthesize","primaryLinks":[{"label":"View on ClawHub","url":"https://clawhub.ai/athola/nm-tome-synthesize","kind":"source"},{"label":"Homepage","url":"https://clawhub.ai/athola/skills/nm-tome-synthesize","kind":"homepage"}],"safetyScore":84,"overallRank":62,"popularityScore":64,"trustScore":null,"claimedByName":null,"isOwner":false,"seoDescription":"Merges, dedupes, ranks, and formats research findings into a report. Use after research agents return results from multiple channels to produce a ranked report "},"coverage":{"evidence":{"source":"public-profile","verified":false,"confidence":"medium","updatedAt":"2026-10-10T06:10:58.511Z","emptyReason":null},"protocols":[{"protocol":"OPENCLEW","label":"OpenClaw","status":"self-declared","notes":"Declared in the public agent profile."}],"capabilities":[],"verifiedCount":0,"selfDeclaredCount":1,"capabilityMatrix":{"rows":[{"key":"OPENCLEW","type":"protocol","support":"unknown","confidenceSource":"profile","notes":"Listed on profile"}],"flattenedTokens":"protocol:OPENCLEW|unknown|profile"}},"adoption":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"medium","updatedAt":"2026-10-10T06:10:58.511Z","emptyReason":null},"stars":null,"forks":null,"downloads":1628,"packageName":null,"latestVersion":"1.9.19","tractionLabel":"1.6K downloads"},"release":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"medium","updatedAt":"2026-10-10T06:10:58.511Z","emptyReason":null},"lastUpdatedAt":"2026-10-10T06:10:58.511Z","lastCrawledAt":"2026-10-10T06:10:58.511Z","lastIndexedAt":null,"nextCrawlAt":"2026-10-11T06:10:58.511Z","lastVerifiedAt":null,"highlights":[{"version":"1.9.19","createdAt":"2026-08-26T13:23:52.402Z","changelog":"Release v1.9.19","fileCount":3,"zipByteSize":2031},{"version":"1.9.17","createdAt":"2026-07-30T05:43:32.953Z","changelog":"Release v1.9.17","fileCount":3,"zipByteSize":2106},{"version":"1.9.16","createdAt":"2026-07-14T20:00:21.310Z","changelog":"Release v1.9.16","fileCount":3,"zipByteSize":2117},{"version":"1.9.14","createdAt":"2026-06-30T18:07:35.519Z","changelog":"Release v1.9.14","fileCount":3,"zipByteSize":2059},{"version":"1.9.13","createdAt":"2026-06-27T16:25:23.646Z","changelog":"Release v1.9.13","fileCount":3,"zipByteSize":2104},{"version":"1.9.12","createdAt":"2026-06-19T03:21:17.696Z","changelog":"Release v1.9.12","fileCount":3,"zipByteSize":2008},{"version":"1.0.2","createdAt":"2026-05-09T02:20:58.845Z","changelog":"Release v1.9.5","fileCount":3,"zipByteSize":2131},{"version":"1.0.1","createdAt":"2026-05-06T14:22:28.772Z","changelog":"Release v1.9.4","fileCount":2,"zipByteSize":1040}]},"execution":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No published capability contract is available yet."},"installCommand":"clawhub skill install s17emme0e2m3cpf7k2jvp3a84984b8z9:nm-tome-synthesize","setupComplexity":"low","setupSteps":["Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.","Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data."],"contract":{"contractStatus":"missing","authModes":[],"requires":[],"forbidden":[],"supportsMcp":false,"supportsA2a":false,"supportsStreaming":false,"inputSchemaRef":null,"outputSchemaRef":null,"dataRegion":null,"contractUpdatedAt":null,"sourceUpdatedAt":null,"freshnessSeconds":null},"invocationGuide":{"preferredApi":{"snapshotUrl":"https://www.xpersona.co/api/v1/agents/clawhub-athola-nm-tome-synthesize/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/clawhub-athola-nm-tome-synthesize/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/clawhub-athola-nm-tome-synthesize/trust"},"curlExamples":["curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-athola-nm-tome-synthesize/snapshot\"","curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-athola-nm-tome-synthesize/contract\"","curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-athola-nm-tome-synthesize/trust\""],"jsonRequestTemplate":{"query":"summarize this repo","constraints":{"maxLatencyMs":2000,"protocolPreference":["OPENCLEW"]}},"jsonResponseTemplate":{"ok":true,"result":{"summary":"...","confidence":0.9},"meta":{"source":"CLAWHUB","generatedAt":"2026-10-10T10:58:54.292Z"}},"retryPolicy":{"maxAttempts":3,"backoffMs":[500,1500,3500],"retryableConditions":["HTTP_429","HTTP_503","NETWORK_TIMEOUT"]}},"endpoints":{"dossierUrl":"https://www.xpersona.co/api/v1/agents/clawhub-athola-nm-tome-synthesize/dossier","snapshotUrl":"https://www.xpersona.co/api/v1/agents/clawhub-athola-nm-tome-synthesize/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/clawhub-athola-nm-tome-synthesize/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/clawhub-athola-nm-tome-synthesize/trust"}},"reliability":{"evidence":{"source":"runtime-metrics","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No trust, reliability, or runtime telemetry is available."},"trust":{"status":"unavailable","handshakeStatus":"UNKNOWN","verificationFreshnessHours":null,"reputationScore":null,"p95LatencyMs":null,"successRate30d":null,"fallbackRate":null,"attempts30d":null,"trustUpdatedAt":null,"trustConfidence":"unknown","sourceUpdatedAt":null,"freshnessSeconds":null},"decisionGuardrails":{"doNotUseIf":["Contract metadata is missing or unavailable for deterministic execution."],"safeUseWhen":[],"riskFlags":["missing_or_unavailable_contract","trust_data_unavailable","schema_references_missing"],"operationalConfidence":"low"},"executionMetrics":{"observedLatencyMsP50":null,"observedLatencyMsP95":null,"estimatedCostUsd":null,"uptime30d":null,"rateLimitRpm":null,"rateLimitBurst":null,"lastVerifiedAt":null,"verificationSource":null},"runtimeMetrics":{"successRate":null,"avgLatencyMs":null,"avgCostUsd":null,"hallucinationRate":null,"retryRate":null,"disputeRate":null,"p50Latency":null,"p95Latency":null,"lastUpdated":null}},"benchmarks":{"evidence":{"source":"no-benchmark-data","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No benchmark suites or observed failure patterns are available."},"suites":[],"failurePatterns":[]},"artifacts":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"high","updatedAt":"2026-10-10T06:10:58.511Z","emptyReason":null},"readme":"Skill: synthesize\n\nOwner: athola\n\nSummary: Merges, dedupes, ranks, and formats research findings into a report. Use after research agents return results from multiple channels to produce a ranked report\n\nTags: latest:1.9.19\n\nVersion history:\n\nv1.9.19 | 2026-08-26T13:23:52.402Z | user\n\nRelease v1.9.19\n\nv1.9.17 | 2026-07-30T05:43:32.953Z | user\n\nRelease v1.9.17\n\nv1.9.16 | 2026-07-14T20:00:21.310Z | user\n\nRelease v1.9.16\n\nv1.9.14 | 2026-06-30T18:07:35.519Z | user\n\nRelease v1.9.14\n\nv1.9.13 | 2026-06-27T16:25:23.646Z | user\n\nRelease v1.9.13\n\nv1.9.12 | 2026-06-19T03:21:17.696Z | user\n\nRelease v1.9.12\n\nv1.0.2 | 2026-05-09T02:20:58.845Z | user\n\nRelease v1.9.5\n\nv1.0.1 | 2026-05-06T14:22:28.772Z | user\n\nRelease v1.9.4\n\nv1.0.0 | 2026-04-21T14:01:27.770Z | auto\n\n- Initial release of the \"synthesize\" skill.\n- Merges, deduplicates, ranks, and formats research findings from multiple channels into a coherent report.\n- Designed for use after research agents have gathered findings; not for single-channel refinement.\n- Supports multiple output formats: full report, brief, and raw transcript.\n\nArchive index:\n\nArchive v1.9.19: 3 files, 2031 bytes\n\nFiles: skill-card.md (1704b), SKILL.md (1367b), _meta.json (138b)\n\nFile v1.9.19:SKILL.md\n\n---\nname: synthesize\ndescription: |\n  Merges, dedupes, ranks, and formats research findings into a report. Use after research agents return results from multiple channels to produce a ranked report\nversion: 1.9.8\ntriggers:\n  - merge\n  - rank\n  - format\n  - report\nmetadata: {\"openclaw\": {\"homepage\": \"https://github.com/athola/claude-night-market/tree/master/plugins/tome\", \"emoji\": \"\\ud83e\\udd9e\"}}\nsource: claude-night-market\nsource_plugin: tome\n---\n\n> **Night Market Skill** — ported from [claude-night-market/tome](https://github.com/athola/claude-night-market/tree/master/plugins/tome). For the full experience with agents, hooks, and commands, install the Claude Code plugin.\n\n\n# Finding Synthesis\n\n## When To Use\n\n- After research agents return results from multiple channels\n- Producing a final ranked report from raw findings\n\n## When NOT To Use\n\n- No research session is active (run `/tome:research` first)\n- Refining a single channel (use `/tome:dig` instead)\n\nMerge findings from all channels into a ranked report.\n\n## Workflow\n\n1. Merge: `tome.synthesis.merger.merge_findings()`\n2. Rank: `tome.synthesis.ranker.rank_findings()`\n3. Group: `tome.synthesis.ranker.group_by_theme()`\n4. Format: `tome.output.report.format_report()`\n\n## Output Formats\n\n- **report**: Full sectioned markdown\n- **brief**: Condensed 1-2 pages\n- **transcript**: Raw session log\n\nFile v1.9.19:_meta.json\n\n{\n  \"ownerId\": \"kn7d107jg9jv602h9ytsegydq184a42s\",\n  \"slug\": \"nm-tome-synthesize\",\n  \"version\": \"1.9.19\",\n  \"publishedAt\": 1787750632402\n}\n\nFile v1.9.19:skill-card.md\n\n## Description:\n\nMerges, dedupes, ranks, and formats research findings into a report after research agents return results from multiple channels.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[athola](https://clawhub.ai/user/athola)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers and research teams use this skill after multi-channel research sessions to combine raw findings into a ranked final report, brief, or transcript.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Broad trigger words such as merge, format, rank, and report may invoke this skill more often than intended.\n\nMitigation: Review the active task context before applying the skill and use it when a research synthesis or final report is actually needed.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/athola/skills/nm-tome-synthesize)\n- [Publisher profile](https://clawhub.ai/user/athola)\n- [OpenClaw homepage](https://github.com/athola/claude-night-market/tree/master/plugins/tome)\n\n## Skill Output:\n\n**Output Type(s):** [markdown, text, guidance]\n\n**Output Format:** [Markdown report, brief, or transcript]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Produces sectioned reports, condensed briefs, or raw session logs from existing research findings.]\n\n## Skill Version(s):\n\n1.9.19 (source: server release evidence; artifact frontmatter lists 1.9.8)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nArchive v1.9.17: 3 files, 2106 bytes\n\nFiles: skill-card.md (1960b), SKILL.md (1367b), _meta.json (138b)\n\nFile v1.9.17:SKILL.md\n\n---\nname: synthesize\ndescription: |\n  Merges, dedupes, ranks, and formats research findings into a report. Use after research agents return results from multiple channels to produce a ranked report\nversion: 1.9.8\ntriggers:\n  - merge\n  - rank\n  - format\n  - report\nmetadata: {\"openclaw\": {\"homepage\": \"https://github.com/athola/claude-night-market/tree/master/plugins/tome\", \"emoji\": \"\\ud83e\\udd9e\"}}\nsource: claude-night-market\nsource_plugin: tome\n---\n\n> **Night Market Skill** — ported from [claude-night-market/tome](https://github.com/athola/claude-night-market/tree/master/plugins/tome). For the full experience with agents, hooks, and commands, install the Claude Code plugin.\n\n\n# Finding Synthesis\n\n## When To Use\n\n- After research agents return results from multiple channels\n- Producing a final ranked report from raw findings\n\n## When NOT To Use\n\n- No research session is active (run `/tome:research` first)\n- Refining a single channel (use `/tome:dig` instead)\n\nMerge findings from all channels into a ranked report.\n\n## Workflow\n\n1. Merge: `tome.synthesis.merger.merge_findings()`\n2. Rank: `tome.synthesis.ranker.rank_findings()`\n3. Group: `tome.synthesis.ranker.group_by_theme()`\n4. Format: `tome.output.report.format_report()`\n\n## Output Formats\n\n- **report**: Full sectioned markdown\n- **brief**: Condensed 1-2 pages\n- **transcript**: Raw session log\n\nFile v1.9.17:_meta.json\n\n{\n  \"ownerId\": \"kn7d107jg9jv602h9ytsegydq184a42s\",\n  \"slug\": \"nm-tome-synthesize\",\n  \"version\": \"1.9.17\",\n  \"publishedAt\": 1785390212953\n}\n\nFile v1.9.17:skill-card.md\n\n## Description: <br>\nMerges, dedupes, ranks, and formats research findings into a report for use after research agents return results from multiple channels. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[athola](https://clawhub.ai/user/athola) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nDevelopers, researchers, and research agents use this skill after multi-channel research to merge, dedupe, rank, group by theme, and format findings into a final report. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Broad trigger words such as merge, rank, format, and report could activate the skill unintentionally. <br>\nMitigation: Invoke the skill explicitly or rename triggers in environments that automatically route generic commands. <br>\nRisk: Using the skill without an active research session can produce an incomplete or context-poor report. <br>\nMitigation: Run it only after research agents have returned findings from the relevant channels. <br>\n\n\n## Reference(s): <br>\n- [ClawHub skill page](https://clawhub.ai/athola/skills/nm-tome-synthesize) <br>\n- [Tome plugin homepage](https://github.com/athola/claude-night-market/tree/master/plugins/tome) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [Text, Markdown, Guidance] <br>\n**Output Format:** [Markdown report, brief, or transcript] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Can produce a full sectioned report, a condensed 1-2 page brief, or a raw session log.] <br>\n\n## Skill Version(s): <br>\n1.9.17 (source: release evidence; artifact frontmatter reports 1.9.8) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v1.9.16: 3 files, 2117 bytes\n\nFiles: skill-card.md (2050b), SKILL.md (1367b), _meta.json (138b)\n\nFile v1.9.16:SKILL.md\n\n---\nname: synthesize\ndescription: |\n  Merges, dedupes, ranks, and formats research findings into a report. Use after research agents return results from multiple channels to produce a ranked report\nversion: 1.9.8\ntriggers:\n  - merge\n  - rank\n  - format\n  - report\nmetadata: {\"openclaw\": {\"homepage\": \"https://github.com/athola/claude-night-market/tree/master/plugins/tome\", \"emoji\": \"\\ud83e\\udd9e\"}}\nsource: claude-night-market\nsource_plugin: tome\n---\n\n> **Night Market Skill** — ported from [claude-night-market/tome](https://github.com/athola/claude-night-market/tree/master/plugins/tome). For the full experience with agents, hooks, and commands, install the Claude Code plugin.\n\n\n# Finding Synthesis\n\n## When To Use\n\n- After research agents return results from multiple channels\n- Producing a final ranked report from raw findings\n\n## When NOT To Use\n\n- No research session is active (run `/tome:research` first)\n- Refining a single channel (use `/tome:dig` instead)\n\nMerge findings from all channels into a ranked report.\n\n## Workflow\n\n1. Merge: `tome.synthesis.merger.merge_findings()`\n2. Rank: `tome.synthesis.ranker.rank_findings()`\n3. Group: `tome.synthesis.ranker.group_by_theme()`\n4. Format: `tome.output.report.format_report()`\n\n## Output Formats\n\n- **report**: Full sectioned markdown\n- **brief**: Condensed 1-2 pages\n- **transcript**: Raw session log\n\nFile v1.9.16:_meta.json\n\n{\n  \"ownerId\": \"kn7d107jg9jv602h9ytsegydq184a42s\",\n  \"slug\": \"nm-tome-synthesize\",\n  \"version\": \"1.9.16\",\n  \"publishedAt\": 1784059221310\n}\n\nFile v1.9.16:skill-card.md\n\n## Description: <br>\nMerges, dedupes, ranks, and formats research findings into a report after research agents return results from multiple channels. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[athola](https://clawhub.ai/user/athola) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nDevelopers and research teams use this skill to merge, deduplicate, rank, group, and format findings from multiple research-agent channels into a final report. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Broad activation triggers such as format or report could activate the skill outside an intended research-synthesis context. <br>\nMitigation: Use the skill explicitly after research agents have returned findings and verify that a research synthesis task is intended. <br>\nRisk: A synthesized report can make incomplete or inaccurate source findings appear ranked and final. <br>\nMitigation: Review the source findings and final report before relying on the synthesis for decisions or publication. <br>\n\n\n## Reference(s): <br>\n- [ClawHub skill page](https://clawhub.ai/athola/skills/nm-tome-synthesize) <br>\n- [Clawdis homepage](https://github.com/athola/claude-night-market/tree/master/plugins/tome) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, guidance] <br>\n**Output Format:** [Markdown report, brief, or transcript] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Produces ranked research synthesis from prior research findings; no bundled code, persistence, credential access, or exfiltration behavior is indicated by the security evidence.] <br>\n\n## Skill Version(s): <br>\n1.9.16 (source: release evidence) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v1.9.14: 3 files, 2059 bytes\n\nFiles: skill-card.md (1798b), SKILL.md (1367b), _meta.json (138b)\n\nFile v1.9.14:SKILL.md\n\n---\nname: synthesize\ndescription: |\n  Merges, dedupes, ranks, and formats research findings into a report. Use after research agents return results from multiple channels to produce a ranked report\nversion: 1.9.8\ntriggers:\n  - merge\n  - rank\n  - format\n  - report\nmetadata: {\"openclaw\": {\"homepage\": \"https://github.com/athola/claude-night-market/tree/master/plugins/tome\", \"emoji\": \"\\ud83e\\udd9e\"}}\nsource: claude-night-market\nsource_plugin: tome\n---\n\n> **Night Market Skill** — ported from [claude-night-market/tome](https://github.com/athola/claude-night-market/tree/master/plugins/tome). For the full experience with agents, hooks, and commands, install the Claude Code plugin.\n\n\n# Finding Synthesis\n\n## When To Use\n\n- After research agents return results from multiple channels\n- Producing a final ranked report from raw findings\n\n## When NOT To Use\n\n- No research session is active (run `/tome:research` first)\n- Refining a single channel (use `/tome:dig` instead)\n\nMerge findings from all channels into a ranked report.\n\n## Workflow\n\n1. Merge: `tome.synthesis.merger.merge_findings()`\n2. Rank: `tome.synthesis.ranker.rank_findings()`\n3. Group: `tome.synthesis.ranker.group_by_theme()`\n4. Format: `tome.output.report.format_report()`\n\n## Output Formats\n\n- **report**: Full sectioned markdown\n- **brief**: Condensed 1-2 pages\n- **transcript**: Raw session log\n\nFile v1.9.14:_meta.json\n\n{\n  \"ownerId\": \"kn7d107jg9jv602h9ytsegydq184a42s\",\n  \"slug\": \"nm-tome-synthesize\",\n  \"version\": \"1.9.14\",\n  \"publishedAt\": 1782842855519\n}\n\nFile v1.9.14:skill-card.md\n\n## Description: <br>\nMerges, dedupes, ranks, and formats research findings into a report after research agents return results from multiple channels. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[athola](https://clawhub.ai/user/athola) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nDevelopers, researchers, and agent users use this skill after multi-channel research sessions to merge findings, remove duplicates, rank results, group them by theme, and produce a final report. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Broad trigger words such as merge, rank, format, and report may activate the skill when a more specific built-in or installed command was intended. <br>\nMitigation: Use explicit invocation where supported, or rename or narrow triggers before installing in environments with overlapping commands. <br>\n\n\n## Reference(s): <br>\n- [ClawHub skill page](https://clawhub.ai/athola/skills/nm-tome-synthesize) <br>\n- [Tome plugin homepage](https://github.com/athola/claude-night-market/tree/master/plugins/tome) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, guidance] <br>\n**Output Format:** [Markdown report, brief, or transcript] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Produces merged, deduplicated, ranked, themed, and formatted research findings.] <br>\n\n## Skill Version(s): <br>\n1.9.14 (source: server release metadata) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v1.9.13: 3 files, 2104 bytes\n\nFiles: skill-card.md (1953b), SKILL.md (1367b), _meta.json (138b)\n\nFile v1.9.13:SKILL.md\n\n---\nname: synthesize\ndescription: |\n  Merges, dedupes, ranks, and formats research findings into a report. Use after research agents return results from multiple channels to produce a ranked report\nversion: 1.9.8\ntriggers:\n  - merge\n  - rank\n  - format\n  - report\nmetadata: {\"openclaw\": {\"homepage\": \"https://github.com/athola/claude-night-market/tree/master/plugins/tome\", \"emoji\": \"\\ud83e\\udd9e\"}}\nsource: claude-night-market\nsource_plugin: tome\n---\n\n> **Night Market Skill** — ported from [claude-night-market/tome](https://github.com/athola/claude-night-market/tree/master/plugins/tome). For the full experience with agents, hooks, and commands, install the Claude Code plugin.\n\n\n# Finding Synthesis\n\n## When To Use\n\n- After research agents return results from multiple channels\n- Producing a final ranked report from raw findings\n\n## When NOT To Use\n\n- No research session is active (run `/tome:research` first)\n- Refining a single channel (use `/tome:dig` instead)\n\nMerge findings from all channels into a ranked report.\n\n## Workflow\n\n1. Merge: `tome.synthesis.merger.merge_findings()`\n2. Rank: `tome.synthesis.ranker.rank_findings()`\n3. Group: `tome.synthesis.ranker.group_by_theme()`\n4. Format: `tome.output.report.format_report()`\n\n## Output Formats\n\n- **report**: Full sectioned markdown\n- **brief**: Condensed 1-2 pages\n- **transcript**: Raw session log\n\nFile v1.9.13:_meta.json\n\n{\n  \"ownerId\": \"kn7d107jg9jv602h9ytsegydq184a42s\",\n  \"slug\": \"nm-tome-synthesize\",\n  \"version\": \"1.9.13\",\n  \"publishedAt\": 1782577523646\n}\n\nFile v1.9.13:skill-card.md\n\n## Description: <br>\nMerges, dedupes, ranks, and formats research findings into a ranked report after research agents return results from multiple channels. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[athola](https://clawhub.ai/user/athola) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nDevelopers and researchers use this skill after multi-channel research sessions to merge raw findings, deduplicate overlap, rank findings, group themes, and produce a final report. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: The skill uses broad single-word triggers that may activate when a user did not intend to synthesize research results. <br>\nMitigation: Invoke it only for active multi-channel research sessions where a ranked synthesis report is desired. <br>\nRisk: Synthesis can preserve or amplify incorrect, stale, or low-quality source findings. <br>\nMitigation: Review the generated report against the original research findings before using it for decisions or publication. <br>\n\n\n## Reference(s): <br>\n- [ClawHub skill page](https://clawhub.ai/athola/skills/nm-tome-synthesize) <br>\n- [OpenClaw homepage metadata](https://github.com/athola/claude-night-market/tree/master/plugins/tome) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, guidance] <br>\n**Output Format:** [Markdown report, brief, or transcript] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Ranks, groups, and formats findings from an active research session.] <br>\n\n## Skill Version(s): <br>\n1.9.13 (source: server release evidence) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v1.9.12: 3 files, 2008 bytes\n\nFiles: skill-card.md (1707b), SKILL.md (1367b), _meta.json (138b)\n\nFile v1.9.12:SKILL.md\n\n---\nname: synthesize\ndescription: |\n  Merges, dedupes, ranks, and formats research findings into a report. Use after research agents return results from multiple channels to produce a ranked report\nversion: 1.9.8\ntriggers:\n  - merge\n  - rank\n  - format\n  - report\nmetadata: {\"openclaw\": {\"homepage\": \"https://github.com/athola/claude-night-market/tree/master/plugins/tome\", \"emoji\": \"\\ud83e\\udd9e\"}}\nsource: claude-night-market\nsource_plugin: tome\n---\n\n> **Night Market Skill** — ported from [claude-night-market/tome](https://github.com/athola/claude-night-market/tree/master/plugins/tome). For the full experience with agents, hooks, and commands, install the Claude Code plugin.\n\n\n# Finding Synthesis\n\n## When To Use\n\n- After research agents return results from multiple channels\n- Producing a final ranked report from raw findings\n\n## When NOT To Use\n\n- No research session is active (run `/tome:research` first)\n- Refining a single channel (use `/tome:dig` instead)\n\nMerge findings from all channels into a ranked report.\n\n## Workflow\n\n1. Merge: `tome.synthesis.merger.merge_findings()`\n2. Rank: `tome.synthesis.ranker.rank_findings()`\n3. Group: `tome.synthesis.ranker.group_by_theme()`\n4. Format: `tome.output.report.format_report()`\n\n## Output Formats\n\n- **report**: Full sectioned markdown\n- **brief**: Condensed 1-2 pages\n- **transcript**: Raw session log\n\nFile v1.9.12:_meta.json\n\n{\n  \"ownerId\": \"kn7d107jg9jv602h9ytsegydq184a42s\",\n  \"slug\": \"nm-tome-synthesize\",\n  \"version\": \"1.9.12\",\n  \"publishedAt\": 1781839277696\n}\n\nFile v1.9.12:skill-card.md\n\n## Description: <br>\nMerges, dedupes, ranks, and formats research findings into a report after research agents return results from multiple channels. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[athola](https://clawhub.ai/user/athola) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nDevelopers and research agents use this skill after a multi-channel research session to merge findings, rank them, group them by theme, and produce a final report. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Broad trigger words such as merge, rank, format, and report may activate the skill during unrelated requests. <br>\nMitigation: Tighten or disable generic triggers in environments where unrelated requests commonly use those terms. <br>\n\n\n## Reference(s): <br>\n- [Claude Night Market Tome plugin](https://github.com/athola/claude-night-market/tree/master/plugins/tome) <br>\n- [ClawHub release page](https://clawhub.ai/athola/nm-tome-synthesize) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, guidance] <br>\n**Output Format:** [Markdown report, brief, or transcript] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Supports full sectioned reports, condensed briefs, and raw session transcripts.] <br>\n\n## Skill Version(s): <br>\n1.9.12 (source: server release metadata) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v1.0.2: 3 files, 2131 bytes\n\nFiles: skill-card.md (1970b), SKILL.md (1359b), _meta.json (137b)\n\nFile v1.0.2:SKILL.md\n\n---\nname: synthesize\ndescription: |\n  >- Merge, deduplicate, rank, and format research findings from multiple channels into a coherent report. Use after research agents return their results\nversion: 1.9.5\ntriggers:\n  - merge\n  - rank\n  - format\n  - report\nmetadata: {\"openclaw\": {\"homepage\": \"https://github.com/athola/claude-night-market/tree/master/plugins/tome\", \"emoji\": \"\\ud83e\\udd9e\"}}\nsource: claude-night-market\nsource_plugin: tome\n---\n\n> **Night Market Skill** — ported from [claude-night-market/tome](https://github.com/athola/claude-night-market/tree/master/plugins/tome). For the full experience with agents, hooks, and commands, install the Claude Code plugin.\n\n\n# Finding Synthesis\n\n## When To Use\n\n- After research agents return results from multiple channels\n- Producing a final ranked report from raw findings\n\n## When NOT To Use\n\n- No research session is active (run `/tome:research` first)\n- Refining a single channel (use `/tome:dig` instead)\n\nMerge findings from all channels into a ranked report.\n\n## Workflow\n\n1. Merge: `tome.synthesis.merger.merge_findings()`\n2. Rank: `tome.synthesis.ranker.rank_findings()`\n3. Group: `tome.synthesis.ranker.group_by_theme()`\n4. Format: `tome.output.report.format_report()`\n\n## Output Formats\n\n- **report**: Full sectioned markdown\n- **brief**: Condensed 1-2 pages\n- **transcript**: Raw session log\n\nFile v1.0.2:_meta.json\n\n{\n  \"ownerId\": \"kn7d107jg9jv602h9ytsegydq184a42s\",\n  \"slug\": \"nm-tome-synthesize\",\n  \"version\": \"1.0.2\",\n  \"publishedAt\": 1778293258845\n}\n\nFile v1.0.2:skill-card.md\n\n## Description: <br>\nMerge, deduplicate, rank, and format research findings from multiple channels into a coherent report after research agents return their results. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[athola](https://clawhub.ai/user/athola) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nDevelopers and research users use this skill after multi-channel research to merge findings, rank them, group themes, and format a final report. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Broad trigger words such as merge and format may activate the skill when a user intended a different action. <br>\nMitigation: Review activation context before applying the skill and confirm that a research synthesis task is intended. <br>\nRisk: The artifact references a broader upstream plugin that is separate from this lightweight skill release. <br>\nMitigation: Review the upstream plugin independently before installing or relying on that broader plugin. <br>\n\n\n## Reference(s): <br>\n- [ClawHub skill page](https://clawhub.ai/athola/nm-tome-synthesize) <br>\n- [OpenClaw homepage metadata](https://github.com/athola/claude-night-market/tree/master/plugins/tome) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, guidance] <br>\n**Output Format:** [Markdown report, brief, or transcript] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Supports full sectioned reports, condensed 1-2 page briefs, and raw session transcripts.] <br>\n\n## Skill Version(s): <br>\n1.0.2 (source: server release metadata; artifact frontmatter states 1.9.5) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v1.0.1: 2 files, 1040 bytes\n\nFiles: SKILL.md (1359b), _meta.json (137b)\n\nFile v1.0.1:SKILL.md\n\n---\nname: synthesize\ndescription: |\n  >- Merge, deduplicate, rank, and format research findings from multiple channels into a coherent report. Use after research agents return their results\nversion: 1.9.4\ntriggers:\n  - merge\n  - rank\n  - format\n  - report\nmetadata: {\"openclaw\": {\"homepage\": \"https://github.com/athola/claude-night-market/tree/master/plugins/tome\", \"emoji\": \"\\ud83e\\udd9e\"}}\nsource: claude-night-market\nsource_plugin: tome\n---\n\n> **Night Market Skill** — ported from [claude-night-market/tome](https://github.com/athola/claude-night-market/tree/master/plugins/tome). For the full experience with agents, hooks, and commands, install the Claude Code plugin.\n\n\n# Finding Synthesis\n\n## When To Use\n\n- After research agents return results from multiple channels\n- Producing a final ranked report from raw findings\n\n## When NOT To Use\n\n- No research session is active (run `/tome:research` first)\n- Refining a single channel (use `/tome:dig` instead)\n\nMerge findings from all channels into a ranked report.\n\n## Workflow\n\n1. Merge: `tome.synthesis.merger.merge_findings()`\n2. Rank: `tome.synthesis.ranker.rank_findings()`\n3. Group: `tome.synthesis.ranker.group_by_theme()`\n4. Format: `tome.output.report.format_report()`\n\n## Output Formats\n\n- **report**: Full sectioned markdown\n- **brief**: Condensed 1-2 pages\n- **transcript**: Raw session log\n\nFile v1.0.1:_meta.json\n\n{\n  \"ownerId\": \"kn7d107jg9jv602h9ytsegydq184a42s\",\n  \"slug\": \"nm-tome-synthesize\",\n  \"version\": \"1.0.1\",\n  \"publishedAt\": 1778077348772\n}\n\nArchive v1.0.0: 2 files, 1040 bytes\n\nFiles: SKILL.md (1359b), _meta.json (137b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: synthesize\ndescription: |\n  >- Merge, deduplicate, rank, and format research findings from multiple channels into a coherent report. Use after research agents return their results\nversion: 1.8.2\ntriggers:\n  - merge\n  - rank\n  - format\n  - report\nmetadata: {\"openclaw\": {\"homepage\": \"https://github.com/athola/claude-night-market/tree/master/plugins/tome\", \"emoji\": \"\\ud83e\\udd9e\"}}\nsource: claude-night-market\nsource_plugin: tome\n---\n\n> **Night Market Skill** — ported from [claude-night-market/tome](https://github.com/athola/claude-night-market/tree/master/plugins/tome). For the full experience with agents, hooks, and commands, install the Claude Code plugin.\n\n\n# Finding Synthesis\n\n## When To Use\n\n- After research agents return results from multiple channels\n- Producing a final ranked report from raw findings\n\n## When NOT To Use\n\n- No research session is active (run `/tome:research` first)\n- Refining a single channel (use `/tome:dig` instead)\n\nMerge findings from all channels into a ranked report.\n\n## Workflow\n\n1. Merge: `tome.synthesis.merger.merge_findings()`\n2. Rank: `tome.synthesis.ranker.rank_findings()`\n3. Group: `tome.synthesis.ranker.group_by_theme()`\n4. Format: `tome.output.report.format_report()`\n\n## Output Formats\n\n- **report**: Full sectioned markdown\n- **brief**: Condensed 1-2 pages\n- **transcript**: Raw session log\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn7d107jg9jv602h9ytsegydq184a42s\",\n  \"slug\": \"nm-tome-synthesize\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1776780087770\n}","readmeExcerpt":"Skill: synthesize Owner: athola Summary: Merges, dedupes, ranks, and formats research findings into a report. Use after research agents return results from multiple channels to produce a ranked report Tags: latest:1.9.19 Version history: v1.9.19 | 2026-08-26T13:23:52.402Z | user Release v1.9.19 v1.9.17 | 2026-07-30T05:43:32.953Z | user Release v1.9.17 v1.9.16 | 2026-07-14T20:00:21.310Z | user Release v1.9.16 v1.9.14 ","codeSnippets":[],"executableExamples":[],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: synthesize\ndescription: |\n  Merges, dedupes, ranks, and formats research findings into a report. Use after research agents return results from multiple channels to produce a ranked report\nversion: 1.9.8\ntriggers:\n  - merge\n  - rank\n  - format\n  - report\nmetadata: {\"openclaw\": {\"homepage\": \"https://github.com/athola/claude-night-market/tree/master/plugins/tome\", \"emoji\": \"\\ud83e\\udd9e\"}}\nsource: claude-night-market\nsource_plugin: tome\n---\n\n> **Night Market Skill** — ported from [claude-night-market/tome](https://github.com/athola/claude-night-market/tree/master/plugins/tome). For the full experience with agents, hooks, and commands, install the Claude Code plugin.\n\n\n# Finding Synthesis\n\n## When To Use\n\n- After research agents return results from multiple channels\n- Producing a final ranked report from raw findings\n\n## When NOT To Use\n\n- No research session is active (run `/tome:research` first)\n- Refining a single channel (use `/tome:dig` instead)\n\nMerge findings from all channels into a ranked report.\n\n## Workflow\n\n1. Merge: `tome.synthesis.merger.merge_findings()`\n2. Rank: `tome.synthesis.ranker.rank_findings()`\n3. Group: `tome.synthesis.ranker.group_by_theme()`\n4. Format: `tome.output.report.format_report()`\n\n## Output Formats\n\n- **report**: Full sectioned markdown\n- **brief**: Condensed 1-2 pages\n- **transcript**: Raw session log"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7d107jg9jv602h9ytsegydq184a42s\",\n  \"slug\": \"nm-tome-synthesize\",\n  \"version\": \"1.9.19\",\n  \"publishedAt\": 1787750632402\n}"},{"path":"skill-card.md","content":"## Description:\n\nMerges, dedupes, ranks, and formats research findings into a report after research agents return results from multiple channels.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[athola](https://clawhub.ai/user/athola)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers and research teams use this skill after multi-channel research sessions to combine raw findings into a ranked final report, brief, or transcript.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Broad trigger words such as merge, format, rank, and report may invoke this skill more often than intended.\n\nMitigation: Review the active task context before applying the skill and use it when a research synthesis or final report is actually needed.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/athola/skills/nm-tome-synthesize)\n- [Publisher profile](https://clawhub.ai/user/athola)\n- [OpenClaw homepage](https://github.com/athola/claude-night-market/tree/master/plugins/tome)\n\n## Skill Output:\n\n**Output Type(s):** [markdown, text, guidance]\n\n**Output Format:** [Markdown report, brief, or transcript]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Produces sectioned reports, condensed briefs, or raw session logs from existing research findings.]\n\n## Skill Version(s):\n\n1.9.19 (source: server release evidence; artifact frontmatter lists 1.9.8)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Merges, dedupes, ranks, and formats research findings into a report. Use after research agents return results from multiple channels to produce a ranked report Skill: synthesize Owner: athola Summary: Merges, dedupes, ranks, and formats research findings into a report. Use after research agents return results from multiple channels to produce a ranked report Tags: latest:1.9.19 Version history: v1.9.19 | 2026-08-26T13:23:52.402Z | user Release v1.9.19 v1.9.17 | 2026-07-30T05:43:32.953Z | user Release v1.9.17 v1.9.16 | 2026-07-14T20:00:21.310Z | user Release v1.9.16 v1.9.14","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":792,"uniquenessScore":55,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-10T06:10:58.511Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-10-10T06:10:58.511Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"protocol-neighbors","verified":false,"confidence":"medium","updatedAt":"2026-10-10T10:58:54.292Z","emptyReason":null},"items":[{"id":"8ebccd8e-3863-4187-8355-c3f14e1f9edf","entityType":"agent","canonicalPath":"/agent/iofficeai-aionui","slug":"iofficeai-aionui","name":"AionUi","description":"Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!","url":"https://github.com/iOfficeAI/AionUi","homepage":"https://www.aionui.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-10-09T19:11:12.944Z","createdAt":"2026-02-25T03:38:16.584Z","downloads":null},{"id":"b917f68a-ebff-438e-84f8-3f4b2494c0bc","entityType":"agent","canonicalPath":"/agent/activepieces-activepieces","slug":"activepieces-activepieces","name":"activepieces","description":"AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents","url":"https://github.com/activepieces/activepieces","homepage":"https://www.activepieces.com","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-15T02:22:12.426Z","createdAt":"2026-02-25T03:38:12.412Z","downloads":null},{"id":"5cb26759-3a39-483f-94cf-276a98c13bb8","entityType":"agent","canonicalPath":"/agent/cherryhq-cherry-studio","slug":"cherryhq-cherry-studio","name":"cherry-studio","description":"AI productivity studio with smart chat, autonomous agents, and 300+ assistants. 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