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wiki-research-loop

Auto-grow a pro-workflow wiki by running a budget-capped BFS research loop over pluggable source fetchers (web, arXiv, GitHub). Each iteration pops a seed from the queue, fetches sources, drafts a wiki page, dedupes claims against existing pages, enqueues follow-up seeds. Halts on budget cap, depth cap, or convergence. Use when the user says "research <topic>", "grow the <slug> wiki", "auto-research", or wants a knowledge base that builds itself overnight.

中文简介正在准备中。当前显示原文说明。

集成工具GitHub
查看安装方法

包含的文件(5)

  • SKILL.md5.8 KB
  • scripts/research-loop.js12.9 KB
  • scripts/source-fetchers/arxiv.js2.0 KB
  • scripts/source-fetchers/github.js2.2 KB
  • scripts/source-fetchers/web.js3.1 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Wiki Research Loop

Driver that turns a wiki into an auto-grown knowledge base. Layers on top of wiki-builder and wiki-query.

Loop semantics

seed-queue (pending) → next-seed
  → fetch sources via plugins (web | arxiv | github)
  → extract claims
  → dedupe vs index (FTS5; later vector via 3.3.2)
  → compile new page or amend existing
  → upsert page (auto-FTS-index)
  → enqueue follow-up seeds (max-depth gate)
  → mark seed done
  → if budget OR convergence OR kill-switch → halt

Halt conditions (any one trips)

  • budget_usd exceeded (loop tracks per-fetcher cost estimate)
  • max_pages_per_run written
  • max_depth reached on every active branch
  • 3 consecutive pages add < 5 % new claims (convergence)
  • File ~/.pro-workflow/STOP exists (operator kill-switch)
  • wiki.config.md auto_research.enabled: false
  • Wiki private: true AND any non-local fetcher selected

Commands

In a plugin session, call the providers MCP server's run_provider_task tool with task: "research" and the runner arguments below, for example args: ["run", "agent-memory", "--fetchers", "github"]. Its optional GitHub token comes from the plugin configuration dialog. The direct CLI uses PRO_WORKFLOW_GITHUB_TOKEN when explicitly supplied. Never retrieve tokens from existing machine credentials.

node $SKILL_ROOT/scripts/research-loop.js run <slug> [--max-pages N] [--max-depth N] [--budget-usd 0.50] [--fetchers web,arxiv,github]
node $SKILL_ROOT/scripts/research-loop.js seed <slug> "<query>" [--depth 0] [--parent-id N]
node $SKILL_ROOT/scripts/research-loop.js seeds <slug> [--status pending|active|done|failed]
node $SKILL_ROOT/scripts/research-loop.js cancel <slug>
node $SKILL_ROOT/scripts/research-loop.js status

CLI flags override wiki.config.md for one run only.

Source fetchers

Pluggable. Each lives at scripts/source-fetchers/<name>.js. Interface:

module.exports = {
  name: 'web',
  match: (q) => true,                       // is this fetcher useful?
  estimateCost: (q) => ({ usd: 0, tokens: 0 }),
  fetch: async (q, opts) => [               // returns RawDoc[]
    { url, title, content, fetched_at }
  ]
};

Built-in:

  • web.js — Fetches via the user's available WebFetch tool through a stdin/stdout shim. Treats result as plain text/markdown.
  • arxiv.js — https://export.arxiv.org/api/query (free, public, no key). Returns abstract + metadata.
  • github.js — https://api.github.com/search/repositories + README pull (uses the explicitly configured GitHub token, otherwise unauthenticated rate limit).

Standalone CLI runs load custom fetchers from ~/.pro-workflow/fetchers/<name>.js. The plugin MCP server uses only bundled fetchers so configured tokens are not handed to user-supplied modules.

Budget enforcement

Pre-iteration: sum estimateCost across selected fetchers. If projected cumulative cost would exceed budget_usd, halt.

Post-iteration: track tokens used by the LLM compile step (Anthropic/OpenAI passthrough). Hard-kill on overrun.

Per-fetcher overrides via env: WIKI_LOOP_BUDGET_USD, WIKI_LOOP_MAX_PAGES, WIKI_LOOP_MAX_DEPTH.

Seed queue

SQLite-backed via wiki_seeds table:

fieldmeaning
querynatural-language seed
statuspending → active → done|failed
parent_idseed that produced this one
depthBFS depth from root

Loop pops by (depth ASC, created_at ASC) so it explores breadth-first.

Convergence detection

After each compiled page, compute Jaccard overlap of claim-text tokens vs the prior 3 pages. If < 5 % novel content for 3 consecutive pages, halt and report converged.

Kill switch

touch ~/.pro-workflow/STOP

Loop checks per-iteration and halts gracefully. Remove file to resume next run.

Privacy guard

If wiki.config.md has private: true, the loop refuses any non-local fetcher and emits a warning. Only raw/ ingestion via manual seeds is allowed.

Reactive trigger (Phase 3.3.4)

scripts/file-watcher.js watches wiki/<slug>/wiki/**/*.md. On user-edited claim, enqueues a verification seed (verify: <claim>) at depth 0. Wired through pro-workflow's file-watcher.js hook.

Cron tick (Phase 3.3.4)

scripts/research-tick.js is launchable from any cron-style runner. Picks the oldest opted-in wiki with pending seeds and runs a single iteration. Hook event: pro-workflow:research-tick.

Output

Each run writes:

<wiki-root>/logs/research-<UTC-timestamp>.md   # human-readable run log
<wiki-root>/derived/run-<UTC-timestamp>.json   # structured stats

Run log lines:

[2026-05-08T10:42Z] seed-3 (depth=1) "memory consolidation in agents"
  fetcher=arxiv hits=3
  fetcher=web hits=2
  compiled wiki/concepts/memory-consolidation.md (claims=7, novel=4)
  enqueued 2 follow-up seeds
  cost so far: $0.04 / $0.50

Integration with wiki-query

Every compiled page goes through wiki-cli.js page so FTS5 stays consistent. The dedupe step calls searchWiki with the candidate claim text to find near-duplicates.

Status (Phase 3.3.1)

Ships: loop driver, seed queue, web/arxiv/github fetchers, budget caps, convergence detector, kill-switch, manual run command.

Defers:

  • Vector dedupe (Phase 3.3.2 via sqlite-vec)
  • LLM-judged claim novelty (current = Jaccard token overlap)
  • Cron + reactive (Phase 3.3.4)

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