Wiki Research Loop
SkillDocs & knowledgeLets your agent automatically research topics across web, arXiv and GitHub and grow a wiki from the findings.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Wiki Research Loop skill
About this capability
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
What this skill tells your AI
The instructions your AI receives, as published by rohitg00/pro-workflow in skills/wiki-research-loop/SKILL.md and read by ahel’s review.
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_usdexceeded (loop tracks per-fetcher cost estimate)max_pages_per_runwrittenmax_depthreached on every active branch- 3 consecutive pages add < 5 % new claims (convergence)
- File
~/.pro-workflow/STOPexists (operator kill-switch) wiki.config.mdauto_research.enabled: false- Wiki
private: trueAND any non-local fetcher selected
Commands
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 availableWebFetchtool 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 (usesGH_TOKENif set, otherwise unauthenticated rate limit).
Drop a new file in ~/.pro-workflow/fetchers/<name>.js to add a custom fetcher. Loaded at startup if present.
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:
| field | meaning |
|---|---|
query | natural-language seed |
status | pending → active → done|failed |
parent_id | seed that produced this one |
depth | BFS 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)
Signals
- GitHub stars
- 3k
- Forks
- 285
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
wiki-research-loop- Source
- github.com/rohitg00/pro-workflow