Borrowing it
Nothing to install: this file belongs to JobsHwang/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/JobsHwang/skills/main/AGENTS.mdgit clone --depth 1 https://github.com/JobsHwang/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/jobshwang/skills/agents-md)<a href="https://agentmods.dev/instructions/jobshwang/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/jobshwang/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/jobshwang/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/jobshwang/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 | $0.00274 | $0.00274 |
| Opus 5.5 | $0.00110 | $0.00110 |
| Sonnet 5.5 | $0.00055 | $0.00055 |
| Haiku 4.5 | $0.00027 | $0.00027 |
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 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.
What it actually says
Repository Rules
- Keep this skill collection explicit-only, stateless, and independent of hooks or issue trackers.
- Assume a strong model. Add instructions only for recurring failure modes that native reasoning cannot reliably cover.
- Keep canonical Skill frontmatter limited to
nameanddescription. - Put agent-specific behavior in generated adapters, not canonical Skill bodies.
- Keep PRDs and delivery specs temporary; keep durable coding contracts in the project's resolved spec root.
- Preserve
.trellis/specas canonical in projects that already use it. Never create a parallel root or migrate silently. - Run
npm run buildandnpm run validateafter changing a Skill. - Do not edit generated files under
adapters/claude/skillsoradapters/opencode/commandsdirectly. - Treat the repository as public. Never add credentials, tokens, cookies, private keys, internal configuration dumps, personal vault content, absolute home paths, or company-only identifiers.
- Keep runtime backups outside the repository. The installer must use the user state directory and must reject a state path that resolves inside this repository.
- Run
npm run checkbefore handoff. Do not weaken or bypass the secret scanner, Git hook, or CI Gitleaks gate to make a change pass. - Keep third-party provenance and license text when updating vendored Skills.
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 · 15 lines · 274 tokens per session scan A 4afa342f0ae2
skills AGENTS.md is an instructions file published in the GitHub repository JobsHwang/skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 274 tokens to every session, about $0.0011 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.
skills AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| skills AGENTS.mdJobsHwang/skills | Instructions file | 2 | 2mo ago | MIT | A | 274 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,649 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |