Graph ingest

Skill alirezarezvani/gaios/.claude/skills/graph-ingest

Open-source AI Operating System (AIOS) blueprint for Claude Code & Codex — turn any agent into your personal second brain + Chief of Staff: skills, self-verifying workflows, a second-brain wiki, and deterministic tools. Fork it for any role or domain.

Install

npx -y skills add alirezarezvani/gaios --skill graph-ingest

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.

What its author says it does

Copied from the file, not written here

Use when the user brings an external source worth keeping — a URL, a paper, a tweet/thread, a blog post, a docs page — and wants it pulled into the second brain. Fetches the source into the git-ignored capture inbox, admits it to the committed wiki through the admission policy, then refreshes the knowledge graph so it joins the rest of your thinking. Trigger on "/graph-ingest", "ingest this url", "add this paper to my knowledge", "add this tweet/page to my knowledge", "capture this source".

SKILL.md

4.3 KB, as published. Nobody here has run it

Graph Ingest

Capture an external source into the second brain through the graph. This is the bridge between graphify's add and the gAIOS wiki loop: fetch → admit → graph. One command, three guarded hops, ending with the new knowledge cross-linked in wiki/ and visible in the graph.

When to run

A URL / paper / tweet / thread / page is worth keeping, not just reading once.
The user says "save this", "add this to my knowledge", or pastes a link and wants it remembered.
You spot a source referenced 2-3 times across sessions → suggest ingesting it so it stops being re-fetched.

The output (always this shape)

## Ingested: <source title>
**Source** — <url> (fetched <date>)
**Captured** — raw/<file> (git-ignored inbox)
**Admitted** — wiki/<entry>.md   ⏸ draft — awaiting your OK to commit
   - de-identified: <what was stripped/referenced-out, or "nothing flagged">
   - lint: <wiki_lint.py result — pass / N warnings>
   - cross-links: <related wiki entries linked>
**Graphed** — graphify-out/ refreshed; new node(s): <node names>
   - notable edges (EXTRACTED / INFERRED): <1-2 connections worth seeing>
**Next** — review the draft entry → approve commit → open graph.html

Process

Fetch into the capture inbox. Run graphify add <url> [--author --contributor] — it pulls the source into raw/ (the git-ignored capture inbox), then re-extracts. Use --author/--contributor only when you know who wrote it. Verify: the new file landed in raw/ and nowhere else. If the fetch failed, report the error; do not hand a half-fetched file forward.
Admit it to the wiki. Hand off to /wiki (references/sops/wiki-translate.md) to ADMIT the capture: read any existing entry first then merge, apply the admission policy (de-identify — strip/reference-out any secret, PHI/PII, named-deal specific, or live financial figure), cross-link related entries, update wiki/_index.md, then run python tools/wiki_lint.py. Gate: lint must pass (no broken-link/IBAN/secret errors) before the entry is eligible to commit. Leave the entry as a draft; do not commit without the human's OK.
Refresh the graph. Run /graph (default scope = code + committed wiki/ only) so the admitted entry joins the graph. Verify: graphify-out/ regenerated and the new entry appears as a node; name 1-2 notable edges from GRAPH_REPORT.md, labelled EXTRACTED vs INFERRED so claims stay honest.
Move the capture. Per the wiki SOP, the processed file moves raw/ → raw/_archive/ (never deleted).
Hand back. Surface the output block, point at the draft entry and graph.html, and offer to commit once approved.

Autonomy

L2 — drafts the wiki entry; admission and commit are human-gated. Fetch and graph-refresh run automatically (reversible, local); the wiki entry stays a draft until the human approves the commit. Never commit de-identified content on the user's behalf without that OK.

Guardrails (from CLAUDE.md) — CRITICAL

Fetched external content lands ONLY in git-ignored raw/. It reaches committed wiki/ ONLY after de-identification + a passing tools/wiki_lint.py. (Guardrails #1, #2, #7)
Never graph raw/ directly. raw/ can hold raw PHI/PII/financials before de-identification; the graph's default scope is code + committed wiki/ only — raw/, .env, .tmp/ are hard-excluded.
No secrets / PHI / confidential figures into wiki/ — reference the source, never transcribe sensitive specifics. The wiki is committed; treat it as public.
Cite, don't invent. Keep the source URL on the entry; rely on graphify's EXTRACTED / INFERRED / AMBIGUOUS labels rather than asserting unverified links.
graphify-out/ is a git-ignored derived artifact — don't commit it.