Borrowing it
Nothing to install: this file belongs to imarios/skilltree. 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/imarios/skilltree/main/CLAUDE.mdgit clone --depth 1 https://github.com/imarios/skilltreeWrote 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/imarios/skilltree/claude-md)<a href="https://agentmods.dev/instructions/imarios/skilltree/claude-md"><img src="https://agentmods.dev/badge/instructions/imarios/skilltree/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/imarios/skilltree/claude-md"><img src="https://agentmods.dev/badge/instructions/imarios/skilltree/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 | $0.02407 | $0.02407 |
| Opus 5.5 | $0.00963 | $0.00963 |
| Sonnet 5.5 | $0.00481 | $0.00481 |
| Haiku 4.5 | $0.00241 | $0.00241 |
Grade A, and why
skilltree 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 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.
How it starts
The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
skilltree - Dependency Manager for AI Agent Skills
What is this?
Dependency-aware package manager for AI agent skills (SKILL.md), agents, and Claude Code slash commands. Uses git repos as the registry, resolves transitive dependencies, supports semver version pinning via git tags, and produces lockfiles for reproducible installs.
Docs
docs/
├── specs/
│ ├── spec.md # Core spec: concepts, commands, phases
│ ├── reference.md # Technical: file formats, algorithm, error messages
│ ├── decisions.md # Design decisions (resolved + deferred), open questions
│ └── background.md # Why skilltree, alternatives comparison
├── planning/ # Phase planning docs (hydrogen, helium, etc.)
└── PROJECTS.md # Project tracking
Tech Stack
- Language: TypeScript
- Runtime: Bun (development +
bun build --compilefor single binary) - Also works with: Node.js (
npx skilltree) - Key deps:
simple-git,semver,yaml,commander
Project Structure
skilltree/
├── src/
│ ├── cli.ts # CLI entry point (commander)
│ ├── commands/ # One file per command
│ ├── core/
│ │ ├── manifest.ts # skilltree.yml parsing/writing
│ │ ├── lockfile.ts # skilltree.lock parsing/writing
│ │ ├── resolver.ts # Version resolution (semver constraints)
│ │ ├── graph.ts # Dependency graph + topological sort
│ │ ├── git.ts # Git operations (clone, fetch, tags)
│ │ ├── installer.ts # File copy, symlinks, permissions
│ │ ├── scanner.ts # Dependency detection (regex)
│ │ ├── llm.ts # Optional LLM dependency detection
│ │ └── frontmatter.ts # SKILL.md frontmatter parsing
│ └── types.ts
├── tests/
├── docs/
├── package.json
├── tsconfig.json
└── CLAUDE.md
Development
bun install
pre-commit install
pre-commit install --hook-type post-merge # auto-rebuilds local binary after version bumps
bun test
bun run dev -- install
bun build --compile src/cli.ts --outfile dist/skilltree
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 · +17 lines · +240 tokens per session 4c976ece73f3
- 1mo ago Changed · +8 lines · +132 tokens per session a203cb125666
- 1mo ago Changed · +16 lines · +198 tokens per session 933b6083a5b7
- 2mo ago First seen · 144 lines · 1,837 tokens per session scan A d1aa87a6d03d
skilltree CLAUDE.md is an instructions file published in the GitHub repository imarios/skilltree (2 stars, last pushed 17d ago), licensed MIT. It adds 2,407 tokens to every session, about $0.0096 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 2026-08-31.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).