Borrowing it
Nothing to install: this file belongs to dmgrok/agent-plugins. 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/dmgrok/agent-plugins/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/dmgrok/agent-pluginsWrote 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/dmgrok/agent-plugins/copilot-instructions)<a href="https://agentmods.dev/instructions/dmgrok/agent-plugins/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/dmgrok/agent-plugins/copilot-instructions/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/dmgrok/agent-plugins/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/dmgrok/agent-plugins/copilot-instructions.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 | $0.03904 | $0.03904 |
| Opus 5.5 | $0.01562 | $0.01562 |
| Sonnet 5.5 | $0.00781 | $0.00781 |
| Haiku 4.5 | $0.00390 | $0.00390 |
Grade A, and why
agent-plugins copilot-instructions.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 — 307 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Skills Directory - AI Agent Instructions
Project Overview
This repository aggregates agent skills from the provider repositories configured in PROVIDERS (Anthropic, OpenAI, GitHub, Vercel, HuggingFace, Stripe, Cloudflare, Supabase, and many community repos) into a unified JSON catalog consumed by MCP servers and AI agents. A GitHub Action runs daily at 06:00 UTC to fetch the latest skills, generating versioned releases with YYYY.MM.DD format.
Current stats: read total_skills and providers in catalog.json (or the README badges); do not hardcode counts in docs.
Key consumers: MCP Mother Skills server.
Architecture
Core Components
-
scripts/aggregate.py- Main aggregation script- Fetches skills from GitHub API using tree endpoints
- Parses
SKILL.mdfiles with YAML frontmatter - Generates 2 output formats:
catalog.json,catalog.min.json - Regenerates the README plugin table between the
AUTO-GENERATED SKILLS TABLEmarkers - Uses
GITHUB_TOKENenv var to avoid rate limits
-
Provider System - Extensible provider configuration (lines 35-207 in aggregate.py)
PROVIDERS = { "provider-id": { "name": "Display Name", "repo": "https://github.com/org/repo", "api_tree_url": "https://api.github.com/repos/.../git/trees/main?recursive=1", "raw_base": "https://raw.githubusercontent.com/.../main", "skills_path_prefix": "skills/", # Can be "" for root-level SKILL.md } }- Add new providers by extending this dict - no other code changes needed
- Supports root-level
SKILL.mdfiles (single-skill repos) withskills_path_prefix: "" - Some repos use
masterbranch instead ofmain- adjust URLs accordingly - Provider stats include
starsanddescriptionfetched from GitHub API
-
Category System - Keyword-based auto-categorization (lines 67-74)
- Maps skills to categories:
documents,development,creative,enterprise,integrations,data,security,cloud,mobile,ml-ai,testing,devops,web,other - Based on keyword matching in name/description
- To add categories: extend
CATEGORY_KEYWORDSdict
- Maps skills to categories:
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 Changed · +11 lines · +248 tokens per session 61e968674af9
- 1mo ago First seen · 296 lines · 3,656 tokens per session scan A 464046020675
agent-plugins copilot-instructions.md is an instructions file published in the GitHub repository dmgrok/agent-plugins (19 stars, last pushed yesterday), licensed MIT. It adds 3,904 tokens to every session, about $0.0156 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.
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