graphify SKILL.md skillA

graphify from mycelium-hq/ai-brain-starter is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add mycelium-hq/ai-brain-starter/graphify@git:20260905.a585c34

Pins git:20260905.a585c34 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
mycelium-hq/ai-brain-starter
Path
skills/graphify/SKILL.md
Versions recorded
5
Latest version
git:20260905.a585c34, committed Sep 5, 2026
First version recorded
Jul 22, 2026
Size
49,715 bytes
Repository stars
50
License
MIT

Use when the user invokes /graphify or asks to build, update, or query a knowledge graph from a folder of files (code, docs, papers, notes, images). Triggers: ''map this codebase'', ''graph my notes'', ''what is connected across these files'', ''community detection'', ''GraphRAG'', incremental graph update, Neo4j/SVG/GraphML export, graph lookups (query, shortest path, explain a node). Not for simple file reads, vault edits, or plain text search.

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

# /graphify

> **`{SKILL_DIR}`** = this skill's own folder (locally: the directory this SKILL.md lives in; a served brain substitutes the real absolute path before you read this). If a path does not resolve, name the missing file and stop — never guess another location.

Turn any folder of files into a navigable knowledge graph with community detection, an honest audit trail, and three outputs: interactive HTML, GraphRAG-ready JSON, and a plain-language GRAPH_REPORT.md.

> ⚡ **Before running on a corpus larger than ~50 files, READ [OPTIMIZATIONS.md](./OPTIMIZATIONS.md).** The wrapper scripts in `scripts/` (dedupe, regex preflight, word-balanced chunking, label canonicalization, cache integration) typically cut LLM token cost by 80–92% and produce a higher-quality graph. The single most important step is calling `graphify_canonicalize.py --cache` after merging — without it, the next `--update` run repays the entire cost. Skip these wrappers and a 1,500-file vault will burn ~10M LLM tokens for the same graph that costs ~1M with them.

## Usage

```
/graphify                                             # full pipeline on current directory → Obsidian vault
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add mycelium-hq/ai-brain-starter/graphify@sha256:f8b5a407fe428f16

The line at the top of this page pins the label git:20260905.a585c34, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_xa2uhbu2xp6dnolt.svg)](https://markdownregistry.com/a/art_xa2uhbu2xp6dnolt)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Jul 22, 2026 and Sep 5, 2026, about one every 11 days.

versioncommittedcommitsizeaudit
git:20260905.a585c34 latest2026-09-05 a585c34 49,715 BA view · diff
git:20260825.bbdcde92026-08-25 bbdcde9 48,046 BA view · diff
git:20260824.134197c2026-08-24 134197c 47,981 BA view · diff
git:20260819.fedadd22026-08-19 fedadd2 45,169 BA view · diff
git:20260722.7893e722026-07-22 7893e72 42,248 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (49715 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

GitHub

mycelium-hq/ai-brain-starter · 50 stars · license MIT · pushed 2026-11-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_xa2uhbu2xp6dnolt
GET https://markdownregistry.com/api/v1/resolve?ref=mycelium-hq/ai-brain-starter/graphify
GET https://markdownregistry.com/api/v1/blob/f8b5a407fe428f1603eda084993f28c032716d269bf79e72f601cff03f3a3e1c

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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