Borrowing it
Nothing to install: this file belongs to euxx/claude-skills-for-copilot. 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/euxx/claude-skills-for-copilot/main/AGENTS.mdgit clone --depth 1 https://github.com/euxx/claude-skills-for-copilotWrote 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/euxx/claude-skills-for-copilot/agents-md)<a href="https://agentmods.dev/instructions/euxx/claude-skills-for-copilot/agents-md"><img src="https://agentmods.dev/badge/instructions/euxx/claude-skills-for-copilot/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/euxx/claude-skills-for-copilot/agents-md"><img src="https://agentmods.dev/badge/instructions/euxx/claude-skills-for-copilot/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 | $0.00831 | $0.00831 |
| Opus 5 | $0.00415 | $0.00415 |
| Sonnet 5 | $0.00166 | $0.00166 |
| Haiku 4.5 | $0.00083 | $0.00083 |
Grade A, and why
claude-skills-for-copilot 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 9d 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Conventions
After Making Changes
After modifying code, run:
npm run ci— syntax + lint + format + tests
See DEVELOPMENT.md for all available scripts.
See RELEASE.md for the release process.
Upstream Adaptation Tracking
Skills are adapted from two upstream repos:
- Anthropic:
https://github.com/anthropics/claude-plugins-official— local mirror at~/projects/claude-plugins-official - OpenAI:
https://github.com/openai/skills— local mirror at~/projects/skills
Last upstream check: 2026-06-30
- Anthropic checked up to commit
cd3ca5b - OpenAI checked up to commit
49f948f
How to check for updates
- Sync local mirrors —
cd ~/projects/claude-plugins-official && git pull --ff-onlyand the same for~/projects/skills. Confirmgit status -sbshows no drift before comparing. - List commits since last check —
git log --oneline <last-sha>..HEADin each mirror. - Filter to adapted skills — restrict the log with
-- <paths>for plugins/folders that map to skills in this repo. Current mapping:plugins/pr-review-toolkit/→code-review,comment-analyzer,silent-failure-hunter,test-analyzer,type-design-analyzer,review-toolkitplugins/code-simplifier/→code-simplifierplugins/feature-dev/→feature-devplugins/frontend-design/→frontend-design,frontend-layoutplugins/mcp-server-dev/→mcp-server-dev- Any OpenAI
skills/.curated/<name>/whose name appears underskills/here.
- Inspect each candidate commit — read the diff (
git show <sha> -- <path>) and decide whether it touches content we actually carry (our SKILL.md files are often condensed single-file versions, so deep-reference-only changes may be no-ops). - Look for newly added skills —
git log --diff-filter=A --name-only --pretty=format: <last-sha>..HEAD -- 'plugins/*/skills/*/SKILL.md'(Anthropic) and the equivalent underskills/.curated/(OpenAI). Evaluate each new skill for VS Code Copilot fit before adapting. - Record the new SHAs and date above after the check completes, regardless of whether any sync was needed.
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.
- 9d ago First seen · 49 lines · 831 tokens per session scan A 03cc50f5819f
claude-skills-for-copilot AGENTS.md is an instructions file published in the GitHub repository euxx/claude-skills-for-copilot (4 stars, last pushed 2mo ago), licensed MIT. It adds 831 tokens to every session, about $0.0042 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 2026-08-31.
Other instructions, from other repositories
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vscode buildNext.instructions.md
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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).
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.