A setup routine that creates a shared project wiki—a searchable collection of notes—and a knowledge graph for one project or a folder of projects.

Use it to create project notes from READMEs and code, connect them into a graph, and let Claude query that stored knowledge.

Past solutions and project details become easier for future coding sessions to find across multiple projects.

wiki — Skill for Claude Code by mhlaghari/stuntman

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 mhlaghari/stuntman --skill wiki

Clone the repo

git clone --depth 1 https://github.com/mhlaghari/stuntman

Made for: Claude Code.

Or install stuntman, the plugin that ships this one along with the rest of its 9 skills, 9 hooks.

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/mhlaghari/stuntman/wiki/github.svg)](https://agentmods.dev/skills/mhlaghari/stuntman/wiki)

Your own site

<a href="https://agentmods.dev/skills/mhlaghari/stuntman/wiki"><img src="https://agentmods.dev/badge/skills/mhlaghari/stuntman/wiki/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/mhlaghari/stuntman/wiki"><img src="https://agentmods.dev/badge/skills/mhlaghari/stuntman/wiki.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 114 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,924 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. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

SkillSpector: 1 finding, up to low

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

low MCP Rug Pull · line 72
pip install without ==version installs the latest release, which could include malicious changes.

Fix: Pin the version: pip install package==1.2.3

How audits are shown

Origin original No closer match found 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	$0.00114	$0.01924
Opus 5.5	$0.00046	$0.00770
Sonnet 5.5	$0.00023	$0.00385
Haiku 4.5	$0.00011	$0.00192

Measured 1mo ago against content hash ee8d07cff865, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

wiki 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 1mo ago.

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.

skills/wiki/SKILL.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

stuntman: wiki — stand up an LLM-wiki second brain + graphify

/scaffold gives one project a memory; /wiki gives a whole folder of projects a shared brain: a navigable Obsidian vault of notes-about-projects, a graphify knowledge graph, and a live MCP so any future session can ask "did I already solve this?" across everything.

It's the Karpathy "LLM wiki" pattern, automated. Run it once in the target folder.

Dependencies

graphify (pip install graphifyy, or the user's /graphify skill) — builds the graph.
mcp python package + the current host CLI (claude or codex) — to wire the live query server. The skill installs/checks these along the way; if one is truly unavailable, do that step's fallback and tell the user.

What to do

1. Scaffold the skeleton (deterministic, idempotent)

Read host and tool setup. Set STUNTMAN_HOST to codex in Codex or claude in Claude Code; use both when requested.

WIKI="$STUNTMAN_ROOT/bin/wiki"
"$WIKI" --host "$STUNTMAN_HOST"   # optionally append /path/to/folder

Read its output: VAULT=…, MODE=single|folder, and (folder mode) the PROJECTS: list. Never clobbers — re-running only fills gaps. $VAULT is <folder>-wiki/.

2. Ensure graphify is installed

Resolve an interpreter that can import graphify (uv tool / pipx / venv / system). If none, install it in a dedicated virtual environment or with uv/pipx. Save the interpreter path to $VAULT/graphify-out/.graphify_python for later steps (create that directory first).

3. Populate the notes from reality

Write notes that a reader with zero memory of the codebase can use. Follow the schema in the vault's AGENTS.md (Codex) or CLAUDE.md (Claude Code), including frontmatter + Summary / Architecture / Connections / Notable.

Every note's frontmatter needs type: and a one-line description: (OKF v0.1 — this is what makes the vault portable across agent tooling). Wikilinks must target real page basenames (kebab-case filenames, not Title Case) — broken links render as ghost nodes in Obsidian.

Read the full file on GitHub · 113 lines

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.

1mo ago Changed · +11 lines ee8d07cff865
2mo ago Changed · +11 lines · +2 tokens per session dcfd072b2732
2mo ago First seen · 91 lines · 112 tokens per session scan A 31b6ca922c57

Subscribe to this mod's changes

wiki is a skill published in the GitHub repository mhlaghari/stuntman (16 stars, last pushed 20d ago), licensed MIT. It adds 114 tokens to every session and 1,924 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Claude Code Cost Optimization Memory and context ai-agents claude deepseek llm-orchestration

wiki next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
wikimhlaghari/stuntman	Skill	16	20d ago	MIT	A	114	Claude Code
knowledge-wikizhayujie/CowAgent	Skill	48k	today	MIT	A	46	Claude Code, Codex
code-review-contextopeninterpreter/openinterpreter	Skill	69k	today	Apache-2.0	A	7	Codex
clawrouterBlockRunAI/ClawRouter	Skill	6.7k	today	MIT	A	171	Claude Code, Codex
imagegenBlockRunAI/ClawRouter	Skill	6.7k	today	MIT	A	45	Claude Code, Codex
phoneBlockRunAI/ClawRouter	Skill	6.7k	today	MIT	A	72	Claude Code, Codex
polymarket-tradingBlockRunAI/ClawRouter	Skill	6.7k	today	MIT	A	76	Claude Code, Codex