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/paarths-collab/github-pr-context-mcp/copilot-instructionsgit clone --depth 1 https://github.com/paarths-collab/github-pr-context-mcpWrote 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/paarths-collab/github-pr-context-mcp/copilot-instructions)<a href="https://agentmods.dev/instructions/paarths-collab/github-pr-context-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/paarths-collab/github-pr-context-mcp/copilot-instructions.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 | $0.00264 | $0.00264 |
| Opus 5 | $0.00132 | $0.00132 |
| Sonnet 5 | $0.00053 | $0.00053 |
| Haiku 4.5 | $0.00026 | $0.00026 |
Grade A, and why
github-pr-context-mcp 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 4d 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
GitHub Copilot Instructions
When assisting in this repository, leverage the github-pr-context-mcp extension to provide context-aware suggestions.
🚀 Workflow
- Index: Ensure the repo is ready with
ensure_repo_ready. - Search: Use
semantic_search_reviewsto find implementation patterns in past PRs. - Validate: Use
review_code_with_historyto verify new code against historical feedback.
🛠️ Complete Toolset
ensure_repo_ready: Prepare the context for a repository.set_active_repo: Switch the active repository.list_indexed_repos: List all indexed repositories.delete_repo_index: Delete a repository index.semantic_search_reviews: Deep historical search by meaning.review_code_with_history: Grounded AI review.generate_code_from_history: Generate code matching team style.get_team_review_patterns: Understand recurring team standards.get_index_stats: Check the status of a repository index.generate_repo_rules: Synthesize/update these instructions.update_settings: Configure your settings (Hosted).get_usage_stats: View analytics and usage stats.
Always favor patterns found in the repository's own history.
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.
- 4d ago First seen · 26 lines · 264 tokens per session scan A 7efed1763c2a
github-pr-context-mcp copilot-instructions.md is an instructions file published in the GitHub repository paarths-collab/github-pr-context-mcp (7 stars, last pushed 1mo ago), licensed MIT. It adds 264 tokens to every session, about $0.0013 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.
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