Borrowing it
Nothing to install: this file belongs to xonika9/agent-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/xonika9/agent-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/xonika9/agent-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/xonika9/agent-skills/agents-md)<a href="https://agentmods.dev/instructions/xonika9/agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/xonika9/agent-skills/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/xonika9/agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/xonika9/agent-skills/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 | $0.00754 | $0.00754 |
| Opus 5.5 | $0.00302 | $0.00302 |
| Sonnet 5.5 | $0.00151 | $0.00151 |
| Haiku 4.5 | $0.00075 | $0.00075 |
Grade A, and why
agent-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 5d 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 — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Skills repository
This is the public source of truth for the x9-* Agent Skills. The package targets the open Agent Skills format; Claude Code and Codex also have native plugin manifests in this repository. Work directly on main; do not create branches.
Source ownership
- Treat every directory under
skills/as canonical. Do not create runtime-specific copies of a skill. - Keep platform-specific behavior inside a clearly named adapter or reference. Do not claim portability for a route that depends on a missing runtime tool.
- The installable global-instruction files live under
global-files/<harness>/. They do not govern work on this repository; the rootAGENTS.mdremains canonical here. - Preserve unrelated and user-owned changes. Never commit, push, create a tag, or publish a release unless the user explicitly requests it.
README and public copy
- Keep
README.mdas the canonical English presentation andREADME.ru.mdas its Russian localization. Update the English structure first, then keep the Russian version materially equivalent. - Explain skills through the problem they solve and the result a user gets. Keep the first screen useful before adding detail.
- Keep the Telegram call to action near the top of both READMEs and keep the
x9-prefix explanation discoverable. - Do not hard-code the number of skills in prose; the contents of
skills/change over time. - Do not publish placeholder screenshots or fabricated demos. Keep recording instructions under
docs/until a real, sanitized capture is ready. - Keep the repository hero and social preview at
assets/x9-agent-skills-hero.jpgin a 2:1 layout. Keep plugin identity assets underassets/and validate every path declared in a manifest. - GitHub social preview is a repository setting, not a README side effect. After an explicitly authorized visual update, upload the hero in Settings and verify the rendered repository card.
- After editing Russian public copy, run the
humanizer-ruscanner. If its optional Python packages are unavailable, use an ephemeral environment rather than changing global Python state. - Keep sensitive data, personal paths, credentials, browser profiles, cookies, and tokens out of the repository.
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.
- 5d ago Changed · -1 lines · -25 tokens per session f825b6e7ef66
- 1mo ago First seen · 41 lines · 779 tokens per session scan A 70823a040d83
agent-skills AGENTS.md is an instructions file published in the GitHub repository xonika9/agent-skills (4 stars, last pushed 4d ago), licensed MIT. It adds 754 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).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.