Borrowing it
Nothing to install: this file belongs to idaibin/skills. 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/idaibin/skills/main/AGENTS.mdgit clone --depth 1 https://github.com/idaibin/skillsWrote 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/idaibin/skills/agents-md)<a href="https://agentmods.dev/instructions/idaibin/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/idaibin/skills/agents-md.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 | $0.01319 | $0.01319 |
| Opus 5 | $0.00660 | $0.00660 |
| Sonnet 5 | $0.00264 | $0.00264 |
| Haiku 4.5 | $0.00132 | $0.00132 |
Grade A, and why
skills 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Instructions
This file defines how AI agents should work on this repository. It is not the primary skill installation guide.
Task Routing
- For repository development, documentation edits, prompt edits, skill package edits, reviews, or commits, follow the repository work rules below.
- Only when the user explicitly asks to install Skills from this catalog's published source, read
INSTALL.mdand follow that installation flow. - Do not switch into installation mode just because this repository contains
skills/. - Use
repo-mapfor separate repository mapping, reuse inventory, or docs/code alignment. - Use
domain-modelingwhen shared cross-functional business language or rules conflict; load lifecycle or bounded-context depth only when that shared ambiguity requires it. Route feature-local behavior and acceptance toproduct-spec. - Use the host's built-in planning for requirement readiness, technical design, task decomposition, acceptance criteria, and validation gates.
- For concrete failures, follow the effective personal or repository diagnosis rules before permanent remediation; use the matching implementation skill only when a source change is requested.
- Use
dev-frontend,dev-java, ordev-rustfor requested code changes. - Use
audit-frontend,audit-java, oraudit-rustfor bounded read-only domain audits. Userepo-reviewfor a fixed Worktree or immutable change basis, including changes involving authentication, authorization, secrets, untrusted input, or other security risks; assess those risks as part of the ordinary Standards axis. - Use
repo-reviewfor read-only review of the current Worktree/index, a fixed immutable SHA/range, or a verified review package. Resolve pull requests to fixed base/head SHAs; apply Release only as a conditional profile over a fixed basis. - Use
ask-aifor local external-AI packages or explicitly authorized review, research, visual exploration, and decision challenge with ChatGPT, Gemini, DeepSeek, Kimi, or another named provider after the Codex-first gate; useops-browseronly for delegated low-level browser operations. - Use
repo-deliveryfor categorized commits by default, explicit single commits, pushes, evidence-based branch integration, cleanup, and other Git mutations.
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.
- 6d ago First seen · 85 lines · 1,319 tokens per session scan A 8ce1591f6dd8
skills AGENTS.md is an instructions file published in the GitHub repository idaibin/skills (6 stars, last pushed 2d ago), licensed Apache-2.0. It adds 1,319 tokens to every session, about $0.0066 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
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.