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/z35068037/whichrules/copilot-instructionsgit clone --depth 1 https://github.com/z35068037/whichrulesWhat 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 | $0.00021 | $0.00021 |
| Opus 5 | $0.00010 | $0.00010 |
| Sonnet 5 | $0.00004 | $0.00004 |
| Haiku 4.5 | $0.00002 | $0.00002 |
Grade A, and why
whichrules 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 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
Copilot instructions
- Use pnpm for dependency management.
- Use Prettier for formatting.
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 · 5 lines · 21 tokens per session scan A 111044b6b5f1
whichrules copilot-instructions.md is an instructions file published in the GitHub repository z35068037/whichrules (4 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session, about $0.0001 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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tokrepo-search-skill AGENTS.md
Instructions for henu-wang/tokrepo-search-skill, covering tokrepo — ai asset registry, search, install, fetch raw content and mcp server.
ai-agent-instruction-modules CLAUDE.md
Instructions for tablackburn/ai-agent-instruction-modules, a project described as: AIM: Modular, opt-in AI agent instructions for any codebase.