Borrowing it
Nothing to install: this file belongs to jesse-merhi/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/jesse-merhi/skills/main/AGENTS.mdgit clone --depth 1 https://github.com/jesse-merhi/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/jesse-merhi/skills/agents-md)<a href="https://agentmods.dev/instructions/jesse-merhi/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/jesse-merhi/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/jesse-merhi/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/jesse-merhi/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 | $0.04978 | $0.04978 |
| Opus 5.5 | $0.01991 | $0.01991 |
| Sonnet 5.5 | $0.00996 | $0.00996 |
| Haiku 4.5 | $0.00498 | $0.00498 |
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 18d 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 — 368 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Global agent instructions
This file owns the instructions for every coding harness (Claude Code, Codex, opencode, Pi). Keep shared rules here and scope harness-specific rules to their named harness. Edit instructions here.
Review responsibilities
Assign review duties by the task, not by whether an agent is a subagent.
- The coordinator owns integration, findings decisions, approval requests, authorized fixes, validation, commits, publication, handoffs and the final report. An agent assigned the whole workflow is a coordinator; a simplifier owns its assigned edits; a findings-only reviewer inspects and reports.
- Give fresh reviewers the target, requirements, neutral assignment and available proof without implementation rationale or prior findings. Use a configured findings-only role when available and retain the applicable domain lenses below.
- Reviewers return supported findings, evidence, unresolved concerns and verification limits. They do not edit, manage repairs, publish or run handoff workflows. The coordinator confirms findings under code-review's evidence requirements and resolves their priority and disposition.
- Reading a skill does not expand the assignment or authorize its workflow. Safety, security, permission boundaries, and applicable repository constraints remain binding on every agent; role instructions are not a sandbox.
Communication
- Lead with the outcome, then explain what changed and why.
- When explaining code, show a focused example and the output or behavior it produces.
- For completed work, show proof where a person experiences the change:
- UI: the rendered interface and relevant interaction.
- Terminal: the command, output, and user flow.
- Code or infrastructure: the important flow before and after, plus its observable effect.
- Treat logs and test results as supporting evidence. Use the changed behavior itself as the primary proof.
- Keep replies concise, concrete, and free of repetition while preserving
necessary evidence and qualifications. Leave hashes, receipt paths and
internal identifiers out of replies unless the reader needs them to act.
Use
speak-fking-englishfor substantial writing, requested rewrites, unclear explanations, or when a delivery workflow requires it; routine short replies need no extra skill read. - When user input is genuinely required, use the harness's native structured question UI when it is available, including outside planning-only modes. Do not ask questions when repository evidence, safe investigation, or a reasonable low-risk assumption can resolve the uncertainty.
- When asking questions, use a synchronous tool that waits for the user's reply. In Codex, use
request_user_inputwhere available and permitted; do not userequest_user_input_async. If no suitable synchronous tool is available, ask in the final response and wait for the user's reply. This preference avoids missed async-question notifications; it does not require asking about routine choices. - Before closing a substantive task, after a user correction, and before
reporting a blocked workflow, assess whether
feedback-hardeningis useful. Apply this judgment after every code review, including clean reviews; these events do not automatically require a separate task. The coordinator owns the decision and any handoff; findings-only reviewers send observations in their existing report. Follow the skill for the decision, handoff, repair authority and completion.
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.
- 18d ago Changed · -5 lines · +253 tokens per session 5ad6416d9f03
- 25d ago Changed · +1 lines · +13 tokens per session 5251b61e4eb5
- 27d ago Changed · +1 lines · +20 tokens per session 0a2a02310c9d
- 29d ago Changed · +12 lines · +146 tokens per session 07d953c6df6e
- 1mo ago Changed · +9 lines · +128 tokens per session c7667b16ac01
- 1mo ago Changed · +15 lines · +208 tokens per session ee99c31eee50
- 1mo ago Changed · +7 lines · +88 tokens per session e3a553c11001
- 1mo ago Changed · +11 lines · +168 tokens per session 17c75d585093
- 1mo ago Changed · -1 lines · -14 tokens per session f3756e84508d
- 1mo ago First seen · 318 lines · 3,968 tokens per session scan A d47129e71fbd
skills AGENTS.md is an instructions file published in the GitHub repository jesse-merhi/skills (4 stars, last pushed 2d ago), licensed MIT. It adds 4,978 tokens to every session, about $0.0199 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.
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