메뉴
Migration adapter for the existing OpenClaw 飞书 skill. The skill lives at ~/.openclaw/workspace/skills/knowledge-os/ and was designed for KOS v1 `kos` CLI. This file documents the minimum changes needed when pointing that skill at GBrain.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | feishu-bridge |
| version | 1.0.0 |
| description | Migration adapter for the existing OpenClaw 飞书 skill. The skill lives at ~/.openclaw/workspace/skills/knowledge-os/ and was designed for KOS v1 `kos` CLI. This file documents the minimum changes needed when pointing that skill at GBrain. |
| triggers | ["update feishu skill","migrate feishu handler"] |
| tools | [] |
| mutating | false |
Scope. This skill doesn't run at runtime — it's a change-manifest for the external OpenClaw skill file. Apply once during Week 3.2 cutover.
~/.openclaw/workspace/skills/knowledge-os/SKILL.md
~/.openclaw/workspace/skills/knowledge-os/cron-*.md (if exists)
| KOS v1 command | GBrain replacement |
|---|---|
kos ingest <url> | curl -X POST http://127.0.0.1:7225/ingest -H 'Content-Type: application/json' -d '{"url":"<url>"}' |
kos ingest <url> --confirm | same, then re-run with --dikw-recompile helper (TODO: add server flag) |
kos query "<q>" | curl -X POST http://127.0.0.1:7225/query -H 'Content-Type: application/json' -d '{"question":"<q>"}' |
kos digest --since 7 | curl http://127.0.0.1:7225/digest?since=7 |
kos status | curl http://127.0.0.1:7225/status |
kos lint | bun run ~/Projects/jarvis-knowledge-os-v2/skills/kos-jarvis/kos-lint/run.ts |
kos patrol | bun run ~/Projects/jarvis-knowledge-os-v2/skills/kos-jarvis/kos-patrol/run.ts (once implemented) |
Preserved: 信源分级表（Tier 1/2/3）、手动摄入路径、情报精选、排障教训 入库、对话沉淀规则。这些是 OpenClaw 侧决策逻辑，不随后端切换。
OpenClaw cron jobs for KOS v1 that need updating:
patrol (daily 08:00) → now calls bun run kos-patrol/run.tslint (Monday 08:30) → now calls bun run kos-lint/run.ts情报入库 (daily 09:30) → unchanged if it still goes through the same
HTTP endpoint; only kos-compat-api on the other side changedMEMORY 回流 (Sun 22:00) → now calls bun run digest-to-memory/run.tsIf Stage 3.2 cutover fails, revert by pointing commands back to the v1
kos CLI at ~/Projects/jarvis-knowledge-os/kos. The v1 repo is frozen
at the v1-frozen tag and still runs.
Current port: kos-compat-api runs on 7225 (since 2026-04-28). The original Week 3.2 cutover landed kos-compat-api on the v1 port 7220 for compatibility, then later moved to 7225 to free 7220 for archive. The command-mapping URLs above already use 7225; the steps below are historical record of the one-time migration.
curl http://127.0.0.1:7225/health returns v2 engine markerClassify vector-similar pages against each orphan page via Haiku 4.5 and add typed inbound references (link_type="related", relation encoded in context). Goal: chip away at the 1803/1952 orphan pile (v1 wiki flat import) across multiple sweep runs. Default is --dry-run; --apply does DB link inserts + markdown sentinel upsert on candidate pages that exist on disk, then commits ~/brain changes.
Merge WITHIN-SOURCE duplicate entity-variant pages (e.g. people/lucien + people/lucien-chen, companies/tp-link-system-inc + tp-link-systems-inc) into one canonical node: repoint links + facts + display-name aliases, register a slug redirect, soft-delete the alias pages. An LLM disambiguates each cluster (merge / ambiguous / distinct); ambiguous first-name-vs-multiple-full-names cases are quarantined, never merged. Default --dry (simulate + report, zero writes). Cross-source pages are NEVER touched — the two-axis design keeps them legitimately separate.
One-shot sweep that reads every page in the brain, extracts every person/company/concept/project mentioned via Haiku NER, dedupes, tiers by mention count + context, and creates stub pages for entities that lack one. Tier 2 candidates get Tavily web-search augmentation; Tier 3 stays brain-only (confidence: low). This is the primary G1 payoff skill from JARVIS-NEXT-STEPS.md §5.
Daily sweep: runs kos-lint + staleness detection + knowledge-gap analysis, then produces a MEMORY-format digest ready to be appended to OpenClaw's MEMORY.md by the digest-to-memory skill (Sun 22:00 weekly). Also writes a dashboard to ~/brain/agent/dashboards/knowledge-health-<date>.md.
Bridge an upstream gap: extract_atoms never stamps `frontmatter.concepts` on page-derived atoms, but synthesize_concepts consumes ONLY that field — so concept synthesis is permanently skipped ("no atoms with concept refs"). This script batch-labels atoms lacking the field with 1-3 kebab-case shared-vocabulary topic labels (sonnet) and stamps them, so upstream synthesize_concepts can tier + materialize concepts/<label> pages. Idempotent: only touches atoms WITHOUT `concepts`; safe to rerun after each extract_atoms drain. Retires when the upstream fix lands.
One-command bulk-ingest pipeline (D→I→K→W) for a single isolated source. Sequences the 7 fork stages — register → ingest → embed → enrich → graph → (per-entity synth, opt-in) → corpus-synth — over a folder of frontmatter'd .md files, each idempotent/incremental so re-runs only do new work. Turns a systematic corpus (product docs, FAQ, a research library) into a queryable knowledge asset: facts (RAG) + entities + graph + corpus-level viewpoints.