A tool workflow that turns a folder of files into a navigable knowledge graph: a map of topics and their connections. It also produces an interactive web page, structured JSON for retrieval, and a plain-language report.

Use it to organize a repository, notes folder, or research collection and explore relationships between its files and concepts.

It gives you a reusable view of a large collection instead of requiring the whole folder to be reread for every question. The audit trail helps show how the results were produced.

graphify — Skill for Claude Code by yeaight7/agent-powerups

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add yeaight7/agent-powerups --skill graphify

Clone the repo

git clone --depth 1 https://github.com/yeaight7/agent-powerups

Made for: Claude Code.

Or install memory-optimization, the plugin that ships this one along with the rest of its 6 skills, 3 commands, 2 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/yeaight7/agent-powerups/graphify/github.svg)](https://agentmods.dev/skills/yeaight7/agent-powerups/graphify)

Your own site

<a href="https://agentmods.dev/skills/yeaight7/agent-powerups/graphify"><img src="https://agentmods.dev/badge/skills/yeaight7/agent-powerups/graphify/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/yeaight7/agent-powerups/graphify"><img src="https://agentmods.dev/badge/skills/yeaight7/agent-powerups/graphify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 13,276 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 91% copy Near-identical to another mod in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00061	$0.13276
Opus 5	$0.00030	$0.06638
Sonnet 5	$0.00012	$0.02655
Haiku 4.5	$0.00006	$0.01328

Measured yesterday against content hash 293f34d5759b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-15, from the pricing page.

Security

Grade A, and why

graphify scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

91% identical to graphify-windows — 663 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/memory-optimization/skills/graphify/SKILL.md · 1,314 lines

How it starts

The opening of the file, as written. The whole thing — 1,314 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/graphify

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.

Upstream

Upstream project: https://github.com/safishamsi/graphify
Official PyPI package: graphifyy (double y)
Upstream license: MIT
This repo ships guidance for using the upstream tool. It does not vendor the Python package itself.

Read UPSTREAM.md before changing compatibility, install, or license claims.

Requirements

Required tools:

Python 3.10+
Official graphifyy package installed for the python interpreter this skill will use

Check:

Get-Command graphify -ErrorAction SilentlyContinue
python -c "import graphify, sys; print(sys.executable)" 2>$null

Install options:

uv tool install graphifyy
pipx install graphifyy
python -m pip install graphifyy

Rules:

Do not assume graphifyy is installed.
Do not auto-install without user approval.
Show the install command before running it.
If graphify exists on PATH but python -c "import graphify" fails, stop and tell the user the skill cannot use that interpreter yet.

Manual CLI Notes

In PowerShell, run graphify ., not /graphify ..
To install upstream Codex integration after the package is present: graphify codex install
Manual CLI use and skill-guided use are separate: the package must exist first in both cases.

Usage

/graphify                                                # full pipeline on current directory → Obsidian vault
/graphify <path>                                         # full pipeline on specific path
/graphify <path> --mode deep                             # thorough extraction, richer INFERRED edges
/graphify <path> --update                                # incremental - re-extract only new/changed files
/graphify <path> --directed                              # build directed graph (preserves edge direction: source→target)
/graphify <path> --whisper-model medium                  # use a larger Whisper model for better transcription accuracy
/graphify <path> --cluster-only                          # rerun clustering on existing graph
/graphify <path> --no-viz                                # skip visualization, just report + JSON
/graphify <path> --html                                  # (HTML is generated by default - this flag is a no-op)
/graphify <path> --svg                                   # also export graph.svg (embeds in Notion, GitHub)
/graphify <path> --graphml                               # export graph.graphml (Gephi, yEd)
/graphify <path> --neo4j                                 # generate graphify-out/cypher.txt for Neo4j
/graphify <path> --neo4j-push bolt://localhost:7687      # push directly to Neo4j
/graphify <path> --wiki                                  # build agent-crawlable wiki (index.md + one article per community)
/graphify <path> --obsidian                              # generate Obsidian vault
/graphify <path> --obsidian --obsidian-dir ~/my/vault    # write vault to custom path (e.g. existing vault)
/graphify <path> --mcp                                   # start MCP stdio server for agent access
/graphify <path> --watch                                 # watch folder, auto-rebuild on code changes (no LLM needed)
/graphify add <url>                                      # fetch URL, save to ./raw, update graph
/graphify add <url> --author "Name"                      # tag who wrote it
/graphify add <url> --contributor "Name"                 # tag who added it to the corpus
/graphify query "<question>"                             # BFS traversal - broad context
/graphify query "<question>" --dfs                       # DFS - trace a specific path
/graphify query "<question>" --budget 1500               # cap answer at N tokens
/graphify path "AuthModule" "Database"                   # shortest path between two concepts
/graphify explain "SwinTransformer"                      # plain-language explanation of a node

Read the full file on GitHub · 1,314 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

yesterday First seen · 1,314 lines · 61 tokens per session scan A 293f34d5759b

Subscribe to this mod's changes

graphify is a skill published in the GitHub repository yeaight7/agent-powerups (6 stars, last pushed 2d ago), licensed Apache-2.0. It adds 61 tokens to every session and 13,276 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to graphify-windows, differing in 663 lines, and is treated as a copy.

Memory and context agent agent-skill agent-skills agents gemini-cli-extension plugin

graphify

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

This is a copy

How it starts

/graphify

Upstream

Requirements

Manual CLI Notes

Usage

What ships with it

What this file has done since we first saw it

Other skills, from other repositories

persistent-notes

session-summaries

narco-check

openlore

systematic-debugging

github-code-review