Borrowing it
Nothing to install: this file belongs to open-infra-skills/infra-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/open-infra-skills/infra-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/open-infra-skills/infra-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/open-infra-skills/infra-skills/agents-md)<a href="https://agentmods.dev/instructions/open-infra-skills/infra-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/open-infra-skills/infra-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/open-infra-skills/infra-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/open-infra-skills/infra-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 | $0.00382 | $0.00382 |
| Opus 5 | $0.00191 | $0.00191 |
| Sonnet 5 | $0.00076 | $0.00076 |
| Haiku 4.5 | $0.00038 | $0.00038 |
Grade A, and why
infra-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 11d 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
Purpose
Maintain a portable, evidence-driven library of AI infrastructure agent skills. Favor workflows that generalize across organizations while preserving the technical details needed to reproduce a diagnosis or optimization.
Structure
- Put installable skills at
skills/<category>/<skill-name>/. - Keep exactly one category layer between
skills/and the skill directory for broad CLI compatibility. - Make the skill directory name match the frontmatter
name. - Do not add
README.mdinside a skill directory. - Use
references/,scripts/, andagents/only when they materially improve the skill. - Treat
catalog.jsonas generated output; update it withnpm run catalog.
Skill Authoring
- Keep
SKILL.mdfocused, imperative, and under 500 lines. - Put trigger terms and task boundaries in the frontmatter description.
- Use progressive disclosure instead of loading every detail in the main file.
- Prefer primary documentation and measured evidence for hardware or software claims.
- Mark examples as templates when paths, ports, versions, or device IDs must be adapted.
- Make correctness and reproducibility checks explicit.
- Record useful negative results when they prevent repeated work.
Portability And Security
- Do not assume Windows, PowerShell, VS Code, SSH, a jump host, Slurm, Kubernetes, or any one cloud unless the skill is explicitly about that transport.
- Keep credentials, tokens, private IP addresses, internal hostnames, proprietary paths, and private registry names out of committed files.
- Never weaken TLS, host-key verification, authentication, or container isolation as a convenience shortcut.
- Avoid destructive commands. Give stop conditions before high-impact profiling or distributed experiments.
Validation
Run before committing:
npm test
Also execute representative paths for any changed helper scripts. Do not hand-edit generated catalog entries.
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.
- 11d ago First seen · 42 lines · 382 tokens per session scan A 97bd07e95ef3
infra-skills AGENTS.md is an instructions file published in the GitHub repository open-infra-skills/infra-skills (140 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 382 tokens to every session, about $0.0019 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 2026-08-30.
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).
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.
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 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).