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/hariharapanigrahy/layerkit/copilot-instructionsgit clone --depth 1 https://github.com/hariharapanigrahy/layerkitWrote 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/hariharapanigrahy/layerkit/copilot-instructions)<a href="https://agentmods.dev/instructions/hariharapanigrahy/layerkit/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/hariharapanigrahy/layerkit/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 | $0.00075 | $0.00075 |
| Opus 5 | $0.00037 | $0.00037 |
| Sonnet 5 | $0.00015 | $0.00015 |
| Haiku 4.5 | $0.00007 | $0.00007 |
Grade A, and why
layerkit 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 3d 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
Read and follow AI_WORKING_RULES.md.
Prefer update/delete over adding new files. Before implementation, define what must pass, the proof artifact, and the fallback if the design fails. Prove strategic redirects before broad rewrites or deletions. Keep tests proportional to implementation size. Treat hardcoded secrets as release blockers in public/shared repos.
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.
- 3d ago First seen · 6 lines · 75 tokens per session scan A 231a7725315b
layerkit copilot-instructions.md is an instructions file published in the GitHub repository hariharapanigrahy/layerkit (8 stars, last pushed 27d ago), licensed MIT. It adds 75 tokens to every session, about $0.0004 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
the-loop CLAUDE.md
Instructions for MadaraUchiha-314/the-loop, covering claude.md — working in the-loop's own repository, why this file exists and what to do.
cdv copilot-instructions.md
Instructions for azank1/cdv, covering cdv — agent instructions, required on every message and memory & recovery (v0.8).
repo-ready AGENTS.md
Instructions for shidesheng0218/repo-ready, covering agents.md, project overview, common commands, agent rules and 中文说明.
repo-ready CLAUDE.md
Instructions for shidesheng0218/repo-ready, covering claude.md, stack, commands and rules.
agentic-harness AGENTS.md
Instructions for sevenschulte/agentic-harness, covering agents.md — how this system works, identity, stack, architecture (one paragraph) and repo layout.
ai-development-methodology AGENTS.md
AGENTS.md instructions for Korner83/ai-development-methodology, covering agents.md — instruction file for this repository, context-integrity canary, where the rules are and what is different about this repo.