{"id":"358dd150-e9b1-4d39-9e60-226979d89761","entityType":"agent","slug":"clawhub-skills-alinxus-usewhisper","name":"whisper-context","canonicalUrl":"https://www.xpersona.co/agent/clawhub-skills-alinxus-usewhisper","canonicalPath":"/agent/clawhub-skills-alinxus-usewhisper","generatedAt":"2026-10-09T23:18:20.915Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-04-15T00:45:39.800Z","emptyReason":null},"description":"Official Whisper Context skill for OpenClaw. Cuts context tokens via delta compression + caching, and adds long-term memory across sessions. --- name: whisper-context version: 0.1.0 description: Official Whisper Context skill for OpenClaw. 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Cuts context tokens via delta compression + caching, and adds long-term memory across sessions.\nauthor: \"Whisper\"\nmetadata:\n  openclaw:\n    requires:\n      bins: [\"node\"]\n      env: [\"WHISPER_CONTEXT_API_KEY\", \"WHISPER_CONTEXT_PROJECT\"]\n      optional_env: [\"WHISPER_CONTEXT_API_URL\"]\n    security:\n      notes:\n        - Makes outbound HTTPS requests to the Whisper Context API using a user-provided API key.\n        - Does not require additional npm dependencies.\n        - Review the script before use.\n---\n\n# Whisper Context (OpenClaw Skill)\n\nReduce OpenClaw API spend by shrinking the context you send to the model (delta compression + caching), while keeping long-term memory across sessions.\n\nThis skill provides a minimal Node-based helper (`whisper-context.mjs`) that OpenClaw agents can run to:\n\n- Retrieve packed context for a user/session (`query_context`) with `compress: true` and `compression_strategy: \"delta\"`\n- Persist the latest turn into long-term memory (`ingest_session`)\n- Write/search memories (`memory_write`, `memory_search`)\n- Run Oracle search/research (`oracle_search`)\n- Fetch cost analytics (`get_cost_summary`)\n- Inspect/warm cache (`cache_stats`, `cache_warm`)\n\n## Install (ClawHub)\n\n```bash\nnpx clawhub@latest install whisper-context\n```\n\nClawHub installs the skill folder into your OpenClaw skills workspace (typically `~/.openclaw/workspace/skills/`).\n\n## Setup\n\nSet environment variables (where OpenClaw reads env for your agent):\n\n```bash\nWHISPER_CONTEXT_API_URL=https://context.usewhisper.dev\nWHISPER_CONTEXT_API_KEY=YOUR_KEY\nWHISPER_CONTEXT_PROJECT=openclaw-cost-optimization\n```\n\nNotes:\n\n- `WHISPER_CONTEXT_API_URL` is optional (defaults to `https://context.usewhisper.dev`).\n- `WHISPER_CONTEXT_PROJECT` can be a project slug/name.\n- If the project does not exist yet, the helper will auto-create it in your org on first use.\n- For best memory behavior, use stable `user_id` and `session_id` values (don’t hardcode them globally; derive them per user/session in your agent).\n\n## Usage\n\nAll commands print JSON to stdout.\n\n### Global flags\n\n- `--project <slugOrName>`: override `WHISPER_CONTEXT_PROJECT`\n- `--api_url <url>`: override `WHISPER_CONTEXT_API_URL`\n- `--timeout_ms <n>`: request timeout (default: 30000)\n\n### Tips for real agents (to actually slash spend)\n\n- Always call `query_context` first and inject the returned `context` instead of re-sending your entire chat history.\n- Keep `compress: true`, `compression_strategy: \"delta\"`, and `use_cache: true` (the defaults in this helper) to maximize token savings.\n- Use stable `user_id` and `session_id` so memory works across sessions and cache keys stay effective.\n\n### Query packed context\n\n```bash\nnode whisper-context.mjs query_context \\\n  --query \"What did we decide about the retriever cache?\" \\\n  --user_id \"user-123\" \\\n  --session_id \"session-123\"\n```\n\n### Ingest a completed turn\n\n```bash\nnode whisper-context.mjs ingest_session \\\n  --user_id \"user-123\" \\\n  --session_id \"session-123\" \\\n  --user \"...\" \\\n  --assistant \"...\"\n```\n\nIf your message text is large or hard to shell-escape, pass JSON via stdin:\n\n```bash\necho '{ \"user\": \"....\", \"assistant\": \"....\" }' | node whisper-context.mjs ingest_session --session_id \"session-123\" --turn_json -\n```\n\n## Security / Privacy Notes\n\n- `ingest_session` sends both user and assistant text to the Context API (so it can build memory and improve retrieval).\n- The helper only reads local files if you explicitly pass `@path` (or stdin via `-`).\n- Treat your `WHISPER_CONTEXT_API_KEY` like a secret; don’t commit it to git.\n\n### Write a memory\n\n```bash\nnode whisper-context.mjs memory_write \\\n  --memory_type \"preference\" \\\n  --content \"User prefers concise answers.\" \\\n  --user_id \"user-123\"\n```\n\n### Search memories\n\n```bash\nnode whisper-context.mjs memory_search \\\n  --query \"preferences\" \\\n  --user_id \"user-123\"\n```\n\n### Oracle search / research\n\n```bash\nnode whisper-context.mjs oracle_search --query \"How does delta compression work?\" --mode search\nnode whisper-context.mjs oracle_search --query \"Design a plan...\" --mode research --max_steps 3\n```\n\n### Cost summary\n\n```bash\nnode whisper-context.mjs get_cost_summary \\\n  --start_date \"2026-01-01T00:00:00.000Z\" \\\n  --end_date \"2026-02-01T00:00:00.000Z\"\n```\n\n### Cache stats (prove your savings)\n\n```bash\nnode whisper-context.mjs cache_stats\n```\n\n### Cache warm (optional)\n\n```bash\nnode whisper-context.mjs cache_warm --queries \"retriever cache,l1 query cache,delta compression\" --ttl_seconds 3600\n```\n\n## Agent Integration Pattern\n\n1. Before calling the model: run `query_context` and prepend the returned `context` (if present) to your prompt.\n2. After replying: run `ingest_session` with the user + assistant messages to persist memory.\n\n## Troubleshooting\n\n- `Missing WHISPER_CONTEXT_API_KEY`: export the env var where OpenClaw runs commands.\n- `HTTP 401/403`: verify your API key and that it has access to the project/org.\n- `HTTP 404 Project not found`: verify `WHISPER_CONTEXT_PROJECT` (slug/name) exists.\n","readmeExcerpt":"--- name: whisper-context version: 0.1.0 description: Official Whisper Context skill for OpenClaw. 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