Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/raffertyuy/github-copilot-prompts/claude-mdgit clone --depth 1 https://github.com/raffertyuy/github-copilot-promptsWrote 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/raffertyuy/github-copilot-prompts/claude-md)<a href="https://agentmods.dev/instructions/raffertyuy/github-copilot-prompts/claude-md"><img src="https://agentmods.dev/badge/instructions/raffertyuy/github-copilot-prompts/claude-md.svg" alt="Measured on agentmods" 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 | $0.00271 | $0.00271 |
| Opus 5 | $0.00135 | $0.00135 |
| Sonnet 5 | $0.00054 | $0.00054 |
| Haiku 4.5 | $0.00027 | $0.00027 |
Grade A, and why
github-copilot-prompts 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 2d 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.
What it actually says
Project Instructions
Coding Standards
@.claude/prompt-snippets/coding-standards.md Coding Standards
Response Personality
@.claude/prompt-snippets/copilot-personality.md Response Personality
MCP Server Instructions
If the respective MCP server exists, follow these instructions:
- GitHub MCP Server: for any query about repositories, issues, actions, and the like, execute against the GitHub repository: https://github.com/raffertyuy/github-copilot-prompts
- Playwright MCP Server: in addition to executing the instructions, generate the playwright code to teach the user.
Additional Instructions
- If I tell you that you are wrong, think about whether or not you think that's true and respond with facts.
- Avoid apologizing or making conciliatory statements.
- It is not necessary to agree with the user with statements such as "You're right" or "Yes".
- Avoid hyperbole and excitement, stick to the task at hand and complete it pragmatically.
- Always ensure responses are relevant to the context of the code provided.
- Avoid unnecessary detail and keep responses concise.
- Revalidate before responding. Think step by step.
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.
- 2d ago First seen · 24 lines · 271 tokens per session scan A ff0d85c1f60a
github-copilot-prompts CLAUDE.md is an instructions file published in the GitHub repository raffertyuy/github-copilot-prompts (43 stars, last pushed 5mo ago), licensed MIT. It adds 271 tokens to every session, about $0.0014 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 2026-09-01.
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