Borrowing it
Nothing to install: this file belongs to BTreeMap/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/BTreeMap/SKILLs/main/AGENTS.mdgit clone --depth 1 https://github.com/BTreeMap/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/btreemap/skills/agents-md)<a href="https://agentmods.dev/instructions/btreemap/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/btreemap/skills/agents-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/btreemap/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/btreemap/skills/agents-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 | $0.02025 | $0.02025 |
| Opus 5.5 | $0.00810 | $0.00810 |
| Sonnet 5.5 | $0.00405 | $0.00405 |
| Haiku 4.5 | $0.00202 | $0.00202 |
Grade A, and why
SKILLs AGENTS.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 15d 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Project-agnostic library of agent skills: each SKILL.md is a procedure an
LLM agent loads and follows. Downstream projects consume it as git submodule
at .github/skills, as Claude Code plugin, or through npx skills, so
every skill stays neutral across unrelated projects. Load a linked skill
only when a task needs it.
Repository shape
- One directory per skill, kebab-case, containing file named exactly
SKILL.md. Directory name MUST match skill'snamein its frontmatter. - Every top-level directory that is neither dotted nor
skills/IS a skill directory; that namespace is reserved. Repository plumbing lives in dotted directories (.github,.claude,.claude-plugin,.agents) or single files at root (e.g.sync-skills.example.yml). skills/is vendor-neutral hub: one committed relative symlink per skill,skills/<skill-name>to../<skill-name>. Every vendor path is one symlink to that hub, so another agent costs one link..github/skillsserves GitHub Copilot and mirrors path downstream projects mount this repository at;.claude/skillsserves Claude Code;.agents/skillsserves OpenAI Codex..claude-plugin/carries installer manifests:marketplace.jsonlists every skill by canonical root path, the address installers resolve;plugin.jsondeclares same root container to Claude Code. Gate regenerates that list from tree, so adding a skill never edits a manifest by hand.LICENSE: MIT.- Bundled Python is one uv workspace: root
pyproject.tomllists every member;uv.lockpins the library.
Each skill loads its reference files on demand from references/.
Current skills:
advisor/- Reads a research project like a principal investigator: what it combines, what is outdated, what your lab can afford, cheapest experiment settling each claim.aesthete/- Designs, builds, reviews web interfaces meeting WCAG 2.2, honoring supplied brand or design system, avoiding templated look of generated UI.asd-ste100/- Writes, rewrites, checks text in ASD-STE100 Simplified Technical English, naming each unapproved word with approved alternatives.author-skill/- Turns task history, workflow, or procedure into reusable SKILL.md another agent can follow with no memory of original session.caveman/- Compresses replies into terse phrasing keeping every technical fact; can rewrite a prose file in place.draft-paper/- Drafts conference, workshop, journal, survey, or demo papers and answers reviews, tracing each empirical claim to an artifact and each citation to a retrieved record.fact-check/- Checks a document claim by claim against retrieved sources, quotes behind every verdict; changes nothing until you approve each correction.finance/- Keeps a private record of slow-money stock bets with odds and kill dates, measured by deflated Sharpe, PBO, purged walk-forward at book's cap, sized by evidence under a ruin bound; operator replies in chat and trades by hand.git-commit/- Drafts and reviews Conventional Commits messages; can commit and push in one step.humanize/- Rewrites AI-sounding prose so it reads like its writer, keeping every claim's original strength.lit-review/- Produces literature review where every citation traces to a paper retrieved from OpenAlex, arXiv, or Crossref, never memory.peer-review/- Reviews a paper as an adverse referee would, pressing on claims, design, analysis, limitations, novelty.pl-theorist/- Brings a programming-languages theorist's discipline to design, code, review, tests, tuned per language.ponder/- Answers an open question and shows its work, sourcing every load-bearing claim, testing strongest rival explanation.ponytail/- Forces laziest solution that works: standard library and native features before custom code or new dependencies.read-pdf/- Extracts text and metadata from a PDF, answers questions about it with page-cited evidence, without OCR.reframe/- Turns a planning discussion into testable direction judgment with costed routes and evidence that would prove it wrong.search-web/- Searches web, Wikipedia, scholarly record when harness has no search tool; pulls readable text out of a page.setup-env/- Installs a project's development toolchain in userspace: no sudo, no docker, nothing assumed present but uv.summon/- Hands work to another agent: whether to delegate, what to tell the delegate, how to keep parallel agents apart, how to judge what comes back.thematic-analysis/- Develops themes from qualitative text under one named school, each theme backed by verbatim extracts and counts.
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.
- 15d ago Changed · +1 tokens per session e001b9c71b6d
- 16d ago Changed · +2 lines · +29 tokens per session 2726fb6b4b1a
- 18d ago Changed · +2 lines · +33 tokens per session 69f04b621b22
- 28d ago Changed · +2 lines · +29 tokens per session 69cb7e6406ee
- 29d ago Changed · -9 lines · -148 tokens per session 4bcc4903a5d4
- 1mo ago Changed · +7 lines · +94 tokens per session 9bdc91dbfae0
- 2mo ago Changed · -218 lines · -3,152 tokens per session 281eeb19742d
- 2mo ago Changed · +21 lines · +336 tokens per session 37554997e8d2
- 2mo ago Changed · +31 lines · +465 tokens per session 63ae4b5a3008
- 2mo ago First seen · 316 lines · 4,338 tokens per session scan A ae434eaf71a0
SKILLs AGENTS.md is an instructions file published in the GitHub repository BTreeMap/SKILLs (3 stars, last pushed 15d ago), licensed MIT. It adds 2,025 tokens to every session, about $0.0081 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.
SKILLs AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| SKILLs AGENTS.mdBTreeMap/SKILLs | Instructions file | 3 | 15d ago | MIT | A | 2,025 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |