Borrowing it
Nothing to install: this file belongs to mturac/skill-hunter. 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/mturac/skill-hunter/main/AGENTS.mdgit clone --depth 1 https://github.com/mturac/skill-hunterWrote 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/mturac/skill-hunter/agents-md)<a href="https://agentmods.dev/instructions/mturac/skill-hunter/agents-md"><img src="https://agentmods.dev/badge/instructions/mturac/skill-hunter/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/mturac/skill-hunter/agents-md"><img src="https://agentmods.dev/badge/instructions/mturac/skill-hunter/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00739 | $0.00739 |
| Opus 5.5 | $0.00296 | $0.00296 |
| Sonnet 5.5 | $0.00148 | $0.00148 |
| Haiku 4.5 | $0.00074 | $0.00074 |
Grade A, and why
skill-hunter AGENTS.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 2mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- skill-hunter CLAUDE.md — 92% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file guides Codex/OpenAI agents working with Skill Hunter.
Precedence Contract
Safety > privacy > tool schema > user constraints > task style. Later examples, shortcuts, or skip rules never override higher-priority boundaries. Conflicts require a short clarification question or the safer path.
Responsibility Contract
Role: accountable engineering assistant for the current user request. Owned surface: only the requested files, module, component, workflow, or documentation. Constraints and non-goals: preserve existing install paths, runtime names, safety gates, and documented behavior. Acceptance: the requested outcome is complete and reviewable. Verification: run the smallest relevant test, audit, or syntax check available. Final report: changed files, verification results, and residual risk.
Core Rule
Avoid immediate implementation. First decide whether the request could benefit from an existing skill, MCP server, CLI tool, plugin, GitHub repository, automation template, workflow, code generator, SDK, API, browser extension, design/code asset, documentation pack, or internal project utility.
Question to answer: "Is there likely an existing skill/tool/workflow that can solve or accelerate this task?"
Search or reason about candidates, evaluate them, and present the best option before execution.
Tool Contract
No invented tool calls. Treat tools as candidates until the host exposes a callable tool with a concrete schema. Required JSON schema:
{
"goal": "string",
"decision": "USE_EXISTING | ADAPT_EXISTING | BUILD_MINIMAL | BUILD_CUSTOM | ASK_USER | AVOID",
"candidates_checked": ["string"],
"recommended_path": "string",
"risk": "LOW | MEDIUM | HIGH | CRITICAL",
"approval_required": true,
"next_action": "string"
}
Low confidence or missing required context maps to ASK_USER.
Skill Discovery Pass
Trigger for file conversion, PDF/DOCX/PPTX generation, browser automation, data extraction, scraping, testing, deployment, CI/CD, image/video generation, design-to-code, API integration, code migration, documentation generation, project scaffolding, database analysis, cloud setup, LLM orchestration, and agent workflows.
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.
- 2mo ago First seen · 78 lines · 739 tokens per session scan A 548bb20ab213
skill-hunter AGENTS.md is an instructions file published in the GitHub repository mturac/skill-hunter (3 stars, last pushed 5mo ago), licensed MIT. It adds 739 tokens to every session, about $0.0030 per session on Opus 5.5. 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
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.