Borrowing it
Nothing to install: this file belongs to pproenca/dot-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/pproenca/dot-skills/master/AGENTS.mdgit clone --depth 1 https://github.com/pproenca/dot-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/pproenca/dot-skills/agents-md)<a href="https://agentmods.dev/instructions/pproenca/dot-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/pproenca/dot-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/pproenca/dot-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/pproenca/dot-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 | $0.00695 | $0.00695 |
| Opus 5.5 | $0.00278 | $0.00278 |
| Sonnet 5.5 | $0.00139 | $0.00139 |
| Haiku 4.5 | $0.00069 | $0.00069 |
Grade A, and why
dot-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 2mo 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
What This Repo Is
dot-skills is a curated collection of Agent Skills (markdown rule packs + scripts).
skills/.curated/— stable, published skillsskills/.experimental/— new / in-progress skills. New skills start here.- Skills are authored and evolved with the dev-skill plugin:
/dev-skill:new,:ingest,:evolve,:validate. - dev-skill disciplines: distillation / composition / investigation / extraction.
Don't mix disciplines in one skill dir — adding a
scripts/dir to a distillation skill flips its detected discipline and breaks validation. Build a sibling skill instead.
Definition of Done — run before every commit
When asked to "run all the skill validation and audit scripts" (or before committing skill changes):
npm run validate # skills-ref: structural validation of every skill
node scripts/check-versions.mjs # flag STALE/DIRTY skill versions
scripts/generate-readme-tables --update # regenerate README skill tables
npm test # skills-ref validator test suite
Fix every reported issue, then commit & push. A goal is not complete until verified.
Task Management
- Always use TaskCreate for any task with 2+ steps
- Break tasks into small, atomic units (carpaccio slicing)
- Each task should be completable in a single focused action
- Include acceptance criteria in task descriptions
- Set up task dependencies with addBlockedBy/addBlocks
Development Workflow — Validator-First
Most work here is authoring markdown rule files, so the validators are the test gate (the equivalent of red-green-refactor):
- Red — run the validator and read the failures:
- whole repo:
npm run validate - single skill while authoring: dev-skill's discipline-aware
validate-skill.js(/dev-skill:validate <path>)
- whole repo:
- Green — fix rule files until the validator reports 0 errors.
- Refactor — tighten wording / dedupe rules, then re-validate to stay green.
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.
- 2mo ago First seen · 61 lines · 695 tokens per session scan A 43a5c57910a0
dot-skills AGENTS.md is an instructions file published in the GitHub repository pproenca/dot-skills (221 stars, last pushed 2mo ago), licensed MIT. It adds 695 tokens to every session, about $0.0028 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.
dot-skills AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dot-skills AGENTS.mdpproenca/dot-skills | Instructions file | 221 | 2mo ago | MIT | A | 695 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 275k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |