{"id":"ff40412c-c880-4c07-9e2b-207068f1e8c8","entityType":"agent","slug":"crewai-emmecola-science-radar","name":"science-radar","canonicalUrl":"https://www.xpersona.co/agent/crewai-emmecola-science-radar","canonicalPath":"/agent/crewai-emmecola-science-radar","generatedAt":"2026-10-09T01:03:41.756Z","source":"GITHUB_OPENCLEW","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-05-18T06:45:09.564Z","emptyReason":null},"description":"MIRROR OF https://codeberg.org/emmecola/science-radar - Science Radar is a multi-agent pipeline built with CrewAI that monitors a scientific topic of your choice, selects the most relevant and novel source from recent news and academic papers, and produces a publication-ready illustrated essay. $1 Science Radar is a multi-agent pipeline built with $1 that monitors a scientific topic of your choice, selects the most relevant and novel source from recent news and academic papers, and produces a publication-ready illustrated essay. What it does Each run executes a fixed seven-step pipeline: 1. **Scout** — fetches recent news (NewsAPI) and academic papers (Semantic Scholar) for the configured topic. 2. **Critiq","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. Last updated 5/18/2026.","installCommand":"git clone https://github.com/emmecola/science-radar.git","sourceUrl":"https://github.com/emmecola/science-radar","homepage":null,"primaryLinks":[{"label":"View Source","url":"https://github.com/emmecola/science-radar","kind":"source"}],"safetyScore":66,"overallRank":26.8,"popularityScore":0,"trustScore":null,"claimedByName":null,"isOwner":false,"seoDescription":"MIRROR OF https://codeberg.org/emmecola/science-radar - Science Radar is a multi-agent pipeline built with CrewAI that monitors a scientific topic of your choic"},"coverage":{"evidence":{"source":"public-profile","verified":false,"confidence":"medium","updatedAt":"2026-05-18T06:45:09.564Z","emptyReason":null},"protocols":[{"protocol":"OPENCLEW","label":"OpenClaw","status":"self-declared","notes":"Declared in the public agent profile."}],"capabilities":[{"label":"crewai","status":"self-declared"},{"label":"multi-agent","status":"self-declared"}],"verifiedCount":0,"selfDeclaredCount":3,"capabilityMatrix":{"rows":[{"key":"OPENCLEW","type":"protocol","support":"unknown","confidenceSource":"profile","notes":"Listed on profile"},{"key":"crewai","type":"capability","support":"supported","confidenceSource":"profile","notes":"Declared in agent profile metadata"},{"key":"multi-agent","type":"capability","support":"supported","confidenceSource":"profile","notes":"Declared in agent profile metadata"}],"flattenedTokens":"protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"}},"adoption":{"evidence":{"source":"no-adoption-signals","verified":false,"confidence":"low","updatedAt":"2026-05-18T06:45:09.564Z","emptyReason":"No source adoption metrics were available."},"stars":0,"forks":0,"downloads":null,"packageName":null,"latestVersion":null,"tractionLabel":null},"release":{"evidence":{"source":"agent-index","verified":false,"confidence":"medium","updatedAt":"2026-05-18T06:45:09.564Z","emptyReason":null},"lastUpdatedAt":"2026-05-18T06:45:09.564Z","lastCrawledAt":"2026-05-18T06:45:09.564Z","lastIndexedAt":null,"nextCrawlAt":"2026-05-25T06:45:09.564Z","lastVerifiedAt":null,"highlights":[]},"execution":{"evidence":{"source":"GITHUB OPENCLEW","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No published capability contract is available yet."},"installCommand":"git clone https://github.com/emmecola/science-radar.git","setupComplexity":"low","setupSteps":["Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.","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/crewai-emmecola-science-radar/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/crewai-emmecola-science-radar/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/crewai-emmecola-science-radar/trust"},"curlExamples":["curl -s \"https://www.xpersona.co/api/v1/agents/crewai-emmecola-science-radar/snapshot\"","curl -s \"https://www.xpersona.co/api/v1/agents/crewai-emmecola-science-radar/contract\"","curl -s \"https://www.xpersona.co/api/v1/agents/crewai-emmecola-science-radar/trust\""],"jsonRequestTemplate":{"query":"summarize this repo","constraints":{"maxLatencyMs":2000,"protocolPreference":["OPENCLEW"]}},"jsonResponseTemplate":{"ok":true,"result":{"summary":"...","confidence":0.9},"meta":{"source":"GITHUB_OPENCLEW","generatedAt":"2026-10-09T01:03:41.756Z"}},"retryPolicy":{"maxAttempts":3,"backoffMs":[500,1500,3500],"retryableConditions":["HTTP_429","HTTP_503","NETWORK_TIMEOUT"]}},"endpoints":{"dossierUrl":"https://www.xpersona.co/api/v1/agents/crewai-emmecola-science-radar/dossier","snapshotUrl":"https://www.xpersona.co/api/v1/agents/crewai-emmecola-science-radar/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/crewai-emmecola-science-radar/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/crewai-emmecola-science-radar/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":"GITHUB OPENCLEW","verified":false,"confidence":"high","updatedAt":"2026-05-18T06:45:09.564Z","emptyReason":null},"readme":"![Science Radar logo](science_radar-small.png \"Generated with Nano Banana Pro\")\n\n![Python](https://img.shields.io/badge/python-3.10%2B-blue)\n![CrewAI](https://img.shields.io/badge/crewai-1.12.2-orange)\n![License](https://img.shields.io/badge/license-MIT-green)\n[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/emmecola/science-radar)\n\nScience Radar is a multi-agent pipeline built with [CrewAI](https://crewai.com) that monitors a scientific topic of your choice, selects the most relevant and novel source from recent news and academic papers, and produces a publication-ready illustrated essay.\n\n## What it does\n\nEach run executes a fixed seven-step pipeline:\n\n1. **Scout** — fetches recent news (NewsAPI) and academic papers (Semantic Scholar) for the configured topic.\n2. **Critique & curate** — multiple agents score each source for novelty, scientific rigour, and societal impact. An arbiter selects the single best source and produces a curation brief.\n3. **Write** — a writer agent drafts a ~700-word essay aimed at an intelligent non-specialist reader.\n4. **Editorial critique** — an editorial agent reviews the draft for structure, clarity, engagement, and sourcing quality.\n5. **Fact-check** — a fact-checker verifies every claim against the curation brief and the web.\n6. **Revise** — the writer incorporates all editorial and fact-check feedback into a final draft.\n7. **Illustrate** — an illustrator agent writes an image prompt and generates a cover illustration via fal.ai.\n\nTwo files are saved to the `output/` directory:\n\n- `article_<timestamp>.md` — the final illustrated essay, ready to publish.\n- `pipeline_<timestamp>.md` — a full audit trail with scout data, curation results, first draft, critique, fact-check, revised article, and illustration prompt + URL.\n\n## Installation\n\n**Requirements:** Python ≥ 3.10, < 3.14 and [uv](https://docs.astral.sh/uv/).\n\n```bash\n# Install uv if you don't have it\npip install uv\n\n# Clone the repo and install dependencies\ngit clone https://codeberg.org/emmecola/science-radar.git\ncd science-radar\nuv sync\n```\n\n## Configuration\n\nCopy `.env.example` to `.env` and fill in the required values:\n\n```bash\ncp .env.example .env\n```\n\n### API keys\n\n| Variable | Required | Description |\n|---|---|---|\n| `ANTHROPIC_API_KEY` | Yes | Anthropic API key for all LLM agents |\n| `FAL_KEY` | Yes | fal.ai key for image generation |\n| `NEWSAPI_KEY` | Yes | NewsAPI key for news scouting |\n| `BRAVE_API_KEY` | Yes | Brave Search key for web fact-checking |\n| `SEMANTIC_SCHOLAR_API_KEY` | No | Semantic Scholar key (optional, raises rate limits) |\n\n### Models\n\nThe pipeline uses five model slots, each tunable independently:\n\n| Variable | Default | Role |\n|---|---|---|\n| `SCOUT_MODEL` | `anthropic/claude-haiku-4-5` | Source critique |\n| `CURATOR_MODEL` | `anthropic/claude-sonnet-4-6` | Curation scoring |\n| `CRITIC_MODEL` | `anthropic/claude-opus-4-7` | Editorial critique, fact-check, arbitration |\n| `WRITER_MODEL` | `anthropic/claude-opus-4-7` | Writing |\n| `ILLUSTRATION_MODEL` | `anthropic/claude-sonnet-4-6` | Illustration |\n| `FAL_MODEL` | `fal-ai/flux/dev` | Image generation |\n\n### Topic\n\nEdit [src/science_radar/config.py](src/science_radar/config.py) to change the topic:\n\n```python\nTOPIC = \"your topic description\"          # plain-language label used in the essay\nTOPIC_NEWSAPI = \"your NewsAPI query\"      # see https://newsapi.org/docs/endpoints/everything\nTOPIC_SEMANTIC = \"your Semantic Scholar query\"  # see https://api.semanticscholar.org/api-docs/\n```\n\nYou can also tune how many sources are fetched and how far back to look:\n\n```python\nNEWS_LIMIT = 100    # number of news articles to fetch\nPAPERS_LIMIT = 50  # number of papers to fetch\nDAYS_LIMIT = 7     # look back this many days\n```\n\n## Running\n\n```bash\nuv run science_radar\n```\n\nOutput files are written to `output/` in the project root.\n\n---\n\n*This codebase was developed with AI coding assistants.*\n","readmeExcerpt":"$1 Science Radar is a multi-agent pipeline built with $1 that monitors a scientific topic of your choice, selects the most relevant and novel source from recent news and academic papers, and produces a publication-ready illustrated essay. What it does Each run executes a fixed seven-step pipeline: 1. **Scout** — fetches recent news (NewsAPI) and academic papers (Semantic Scholar) for the configured topic. 2. **Critiq","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"# Install uv if you don't have it\npip install uv\n\n# Clone the repo and install dependencies\ngit clone https://codeberg.org/emmecola/science-radar.git\ncd science-radar\nuv sync"},{"language":"bash","snippet":"cp .env.example .env"},{"language":"python","snippet":"TOPIC = \"your topic description\"          # plain-language label used in the essay\nTOPIC_NEWSAPI = \"your NewsAPI query\"      # see https://newsapi.org/docs/endpoints/everything\nTOPIC_SEMANTIC = \"your Semantic Scholar query\"  # see https://api.semanticscholar.org/api-docs/"},{"language":"python","snippet":"NEWS_LIMIT = 100    # number of news articles to fetch\nPAPERS_LIMIT = 50  # number of papers to fetch\nDAYS_LIMIT = 7     # look back this many days"},{"language":"bash","snippet":"uv run science_radar"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[],"languages":["python"],"docsSourceLabel":"GITHUB OPENCLEW","editorialOverview":"MIRROR OF https://codeberg.org/emmecola/science-radar - Science Radar is a multi-agent pipeline built with CrewAI that monitors a scientific topic of your choice, selects the most relevant and novel source from recent news and academic papers, and produces a publication-ready illustrated essay. $1 Science Radar is a multi-agent pipeline built with $1 that monitors a scientific topic of your choice, selects the most relevant and novel source from recent news and academic papers, and produces a publication-ready illustrated essay. What it does Each run executes a fixed seven-step pipeline: 1. **Scout** — fetches recent news (NewsAPI) and academic papers (Semantic Scholar) for the configured topic. 2. **Critiq","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":405,"uniquenessScore":62,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-05-18T06:45:09.564Z","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":"2026-05-18T06:45:09.564Z","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":"2026-10-09T01:03:41.756Z","emptyReason":null},"items":[{"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. Unified access to frontier LLMs","url":"https://github.com/CherryHQ/cherry-studio","homepage":"https://cherry-ai.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-11T14:38:40.986Z","createdAt":"2026-02-25T03:38:19.379Z","downloads":null},{"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":"2026-04-10T18:48:31.762Z","createdAt":"2026-02-25T03:38:16.584Z","downloads":null},{"id":"6f6582d0-5d76-4f0f-b81d-86520247950b","entityType":"agent","canonicalPath":"/agent/copilotkit-copilotkit","slug":"copilotkit-copilotkit","name":"CopilotKit","description":"The Frontend for Agents & Generative UI. React + Angular","url":"https://github.com/CopilotKit/CopilotKit","homepage":"https://docs.copilotkit.ai","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-03-25T09:50:57.846Z","createdAt":"2026-02-25T03:39:14.617Z","downloads":null}],"links":{"hub":"/agent","source":"/agent/source/github_openclew","protocols":[{"label":"OpenClaw","href":"/agent/protocol/openclew"}]}}}