Borrowing it
Nothing to install: this file belongs to davidliuk/graph-of-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/davidliuk/graph-of-skills/main/CLAUDE.mdgit clone --depth 1 https://github.com/davidliuk/graph-of-skillsWrote 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.
[](https://agentmods.dev/instructions/davidliuk/graph-of-skills/claude-md)<a href="https://agentmods.dev/instructions/davidliuk/graph-of-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/davidliuk/graph-of-skills/claude-md/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.
<a href="https://agentmods.dev/instructions/davidliuk/graph-of-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/davidliuk/graph-of-skills/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.01901 | $0.01901 |
| Opus 5 | $0.00950 | $0.00950 |
| Sonnet 5 | $0.00380 | $0.00380 |
| Haiku 4.5 | $0.00190 | $0.00190 |
Grade A, and why
graph-of-skills CLAUDE.md 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Graph of Skills — Claude Code Integration
GoS ships with a built-in MCP server that gives Claude Code direct access to the skill graph — search, retrieve, explore, and manage skills without leaving the conversation.
Setup
Prerequisites
-
Install dependencies:
uv sync -
Configure API keys — copy
.env.exampleto.envand fill in your embedding provider (OpenAI, Gemini, or Azure):cp .env.example .env # Edit .env: set OPENAI_API_KEY or GEMINI_API_KEY -
Get a workspace — build from source for the current typed-directed constructor. Downloaded
*_v1workspaces are legacy reproduction artifacts and are rejected because their undirected edges cannot be repaired safely:# Option A: Download prebuilt workspaces ./scripts/download_data.sh --workspace # Option B: Build locally (needs embedding API) ./scripts/download_data.sh --skillsets uv run gos index data/skillsets/skills_200 \ --workspace data/gos_workspace/skills_200_v1 --clear
Auto-Discovery (Recommended)
The .mcp.json at the project root auto-registers the MCP server. Open the project directory in Claude Code — the graph-of-skills server is immediately available, no extra steps.
Verify with:
claude mcp list
You should see graph-of-skills in the output.
Manual Registration
If auto-discovery doesn't work (e.g. you're working from a different directory), register manually:
# Basic registration
claude mcp add graph-of-skills -- uv run --directory /path/to/graph-of-skills gos-claude
# With an explicit workspace
claude mcp add graph-of-skills -- uv run --directory /path/to/graph-of-skills gos-claude \
--workspace /path/to/graph-of-skills/data/gos_workspace/skills_200_v1
Switching Workspaces
The default workspace is set in .mcp.json. To use a different skill library size, edit the --workspace argument:
// .mcp.json
{
"mcpServers": {
"graph-of-skills": {
"command": "uv",
"args": ["run", "--directory", ".", "gos-claude",
"--workspace", "data/gos_workspace/skills_2000_v1"]
}
}
}
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.
- 6d ago Changed · +2 lines · +31 tokens per session 941288515cb9
- 12d ago First seen · 193 lines · 1,870 tokens per session scan A 5cb0f6d6c398
graph-of-skills CLAUDE.md is an instructions file published in the GitHub repository davidliuk/graph-of-skills (206 stars, last pushed 12d ago), licensed MIT. It adds 1,901 tokens to every session, about $0.0095 per session on Opus 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).