knowledge-graph SKILL.md skillA
knowledge-graph from ariaxhan/kernel-claude is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add ariaxhan/kernel-claude/knowledge-graph@git:20260910.20bff72Pins git:20260910.20bff72 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- ariaxhan/kernel-claude
- Path
skills/knowledge-graph/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260910.20bff72, committed Sep 10, 2026
- First version recorded
- Jul 22, 2026
- Size
- 4,849 bytes
- Repository stars
- 14
- License
- MIT
Build, refresh and query a deterministic code knowledge graph to cut orientation-token cost. Triggers: knowledge graph, graphify, code graph, god nodes, orientation cost, map the codebase, what connects, callers of, blast radius.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
<skill id="knowledge-graph"> <purpose> An agent's token bill splits into ORIENTATION (finding where the answer lives — reading files, following imports, grepping) and REASONING (actually solving). On a large, tangled repo the orientation half dominates, and it is pure overhead: the model is not thinking yet, it is still navigating. A pre-built code knowledge graph replaces that file-crawl with one query, so you pay orientation tokens once (at build) instead of every session. The saving is CONDITIONAL on repo size × tangle, not a fixed multiplier. Measured on real repos: ~5.7x fewer tokens/query on a mid-size service, ~73x on a large interconnected one, ~13% on a tiny library. The graph query cost is ~constant; naive full-corpus cost scales with size — so reduction = corpus ÷ constant. Do the arithmetic on YOUR repo, don't quote a headline. Hard boundary: the graph helps NAVIGATION, not REASONING. "Design a cache", "why is this slow" get zero lift. It gathers context efficiently; it does not think for the model. </purpose> <prerequisite> Uses `graphify` (open-source, tree-sitter + NetworkX, MIT). Code extraction is local + …
Read the whole file at its exact version.
How to install
mdr add ariaxhan/kernel-claude/knowledge-graph@sha256:4980992441799b25The line at the top of this page pins the label git:20260910.20bff72, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_64wfz34aujkowmq2)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Jul 22, 2026 and Sep 10, 2026, about one every 25 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260910.20bff72 latest | 2026-09-10 | 20bff72 | 4,849 B | A | view · diff |
| git:20260722.6bcacd5 | 2026-07-22 | 6bcacd5 | 4,876 B | A | view · diff |
| git:20260722.2e53413 | 2026-07-22 | 2e53413 | 4,288 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4849 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
ariaxhan/kernel-claude · 14 stars · license MIT · pushed 2026-11-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_64wfz34aujkowmq2 GET https://markdownregistry.com/api/v1/resolve?ref=ariaxhan/kernel-claude/knowledge-graph GET https://markdownregistry.com/api/v1/blob/4980992441799b2583df4d9b23c2d5f602a07bce01efa9969d52b460560f3cc9
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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