Borrowing it
Nothing to install: this file belongs to arkgum/arkgum-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/arkgum/arkgum-agent-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/arkgum/arkgum-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/arkgum/arkgum-agent-skills/agents-md)<a href="https://agentmods.dev/instructions/arkgum/arkgum-agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/arkgum/arkgum-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/arkgum/arkgum-agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/arkgum/arkgum-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 | $0.00284 | $0.00284 |
| Opus 5 | $0.00142 | $0.00142 |
| Sonnet 5 | $0.00057 | $0.00057 |
| Haiku 4.5 | $0.00028 | $0.00028 |
Grade A, and why
arkgum-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 9d 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
Repository instructions
This repository publishes portable Agent Skills. Keep changes focused, reviewable, and safe for public installation.
Skill contract
- Store installable skills under
skills/<skill-name>/. - Require
SKILL.mdwith onlynameanddescriptionin YAML frontmatter. - Match the directory name to the frontmatter
name. - Keep
SKILL.mdconcise; move optional detail to one-level-deepreferences/files. - Put repeated or fragile logic in
scripts/ortools/. - Do not add
README.md, changelogs, or installation guides inside individual skill directories. - Write generated task artifacts outside the installed skill directory.
Public-safety contract
- Never commit credentials, cookies, tokens, private URLs, personal absolute paths, or account identifiers.
- Replace personal defaults with inputs, documented examples, or explicit placeholders.
- Document external tools and permissions in the root installation guide and catalog.
- Require explicit authorization for publication, deletion, paid generation, purchases, account changes, and other consequential external actions.
Repository maintenance
- Update
README.mdandcatalog.jsonwhen skills are added, removed, or renamed. - Update
CHANGELOG.mdfor user-visible changes. - Keep examples realistic and free of unverifiable performance claims.
- Run the repository validator and Python syntax compilation before proposing a release.
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.
- 9d ago First seen · 28 lines · 284 tokens per session scan A c9cc490af5d8
arkgum-agent-skills AGENTS.md is an instructions file published in the GitHub repository arkgum/arkgum-agent-skills (2 stars, last pushed 26d ago), licensed MIT. It adds 284 tokens to every session, about $0.0014 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
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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.
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.