Borrowing it
Nothing to install: this file belongs to 0xmariowu/Autosearch. 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/0xmariowu/Autosearch/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/0xmariowu/AutosearchWrote 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/0xmariowu/autosearch/copilot-instructions)<a href="https://agentmods.dev/instructions/0xmariowu/autosearch/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/0xmariowu/autosearch/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 5.1 | $0.01166 | $0.01166 |
| Opus 5 | $0.00583 | $0.00583 |
| Sonnet 5 | $0.00233 | $0.00233 |
| Haiku 4.5 | $0.00117 | $0.00117 |
Grade A, and why
Autosearch 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 7d 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.
This is a copy
91% identical to AgentLint copilot-instructions.md — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Copilot instructions for AgentLint
AgentLint is a shell-based linter for AI-friendly repos. It scans for CLAUDE.md/AGENTS.md quality, CI hygiene, and agent-ready patterns, then emits SARIF + scored reports. Primary language is bash (src/scanner.sh + 49 rules across 8 dimensions), with a TypeScript CLI wrapper and npm publishing pipeline.
Any Copilot agent (Coding Agent, Code Review, ci-doctor) working on this repo must follow the rules below.
Hard rules — never violate
- No test assertion mutation. If a test is failing, fix the code or file a bug — never change the expected value in an assertion to make it pass.
- No lint / type / test suppressions. No
@ts-ignore,# noqa,// eslint-disable,it.skip,@pytest.mark.skip, or equivalent. The tool raised it for a reason. - No weakening of CI, workflows, or build config. Do not edit
.github/workflows/**,Makefile,tsconfig.json,package.jsonscripts, or test config to make things pass. Fix the code instead. - No deleting or skipping tests to resolve a failure.
- No unrelated refactors. Only change lines directly required by the task. A bug fix does not need surrounding cleanup.
- No features, abstractions, or error handling the task did not ask for. Three similar lines beats a premature abstraction. Don't validate scenarios that cannot happen.
- No absolute hardcoded paths (
/Users/...,/home/...). Use${CLAUDE_PLUGIN_ROOT}, env vars, or repo-relative paths. - No emoji in code, comments, commit messages, or markdown unless explicitly requested.
- No new top-level files (README alternates, design docs, notes) unless the task explicitly asks.
- No commits to
main. All changes go through a PR.
Scope discipline for this repo
- Adding a check requires evidence. Cite an Anthropic source, academic paper, or documented real-world failure in
standards/evidence.json. Opinions are not acceptable. - Scanner output is a contract. Changing the JSONL schema in
src/scanner.shrequires updating the scorer, plan-generator, and reporter in the same PR. - Scoring changes require rationale in
standards/weights.json. Do not adjust weights silently. - Thresholds in shell code must match
standards/evidence.json. Do not hardcode a new number without updating the evidence file. - Skills in
commands/*.mdmust reference bundled assets via${CLAUDE_PLUGIN_ROOT}. Persistent data goes in${CLAUDE_PLUGIN_DATA}or~/.al/, never the plugin root.
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.
- 7d ago First seen · 64 lines · 1,166 tokens per session scan A 2acb38a8acf2
Autosearch copilot-instructions.md is an instructions file published in the GitHub repository 0xmariowu/Autosearch (44 stars, last pushed 1mo ago), licensed MIT. It adds 1,166 tokens to every session, about $0.0058 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to AgentLint copilot-instructions.md, differing in 2 lines, and is treated as a copy.
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