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.svg" alt="Measured on agentmods" 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 | $0.02821 | $0.02821 |
| Opus 5 | $0.01411 | $0.01411 |
| Sonnet 5 | $0.00564 | $0.00564 |
| Haiku 4.5 | $0.00282 | $0.00282 |
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 today.
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 — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Global agent instructions
Shared instructions for every coding harness (Claude Code, Codex,
opencode, Pi). Keep this file harness-agnostic. Anything Claude-specific belongs
in CLAUDE.md, which imports this file and layers on top of it.
Review responsibilities
Assign review duties by the task, not by whether an agent is a subagent.
- The coordinator owns the review loop, findings registry, approval requests, authorized fixes, validation, commits, publication, handoffs, and user-facing summary. A subagent assigned an until-clean workflow is a coordinator for that workflow; it is not a findings-only reviewer.
- A findings-only reviewer is assigned to inspect and report, not to run the
fix-and-rerun workflow. Use a findings-only reviewer preset when the harness
exposes one; never select it for an until-clean coordinator. Give it the
target, neutral checklist, and requested evidence without implementation
rationale or prior findings. It uses
finding-disciplineas the authority for finding eligibility, severity, and reporting, and consults relevant domain skills while retaining the mandatory review lenses below. Keep those policies in their owning skills rather than copying them into role instructions. - The reviewer returns findings with their rating evidence, rejected candidates, verification limits, and requested coverage evidence to the coordinator. It does not edit code, write the findings registry, manage fixes or reruns, publish, or run writing and handoff workflows for its internal report. The coordinator records the returned evidence, obtains CLI-derived severity and disposition, and handles user-facing presentation and delivery gates.
- 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. 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 a user correction or self-detected mistake reveals a reusable agent
failure, use
feedback-hardening. Before closing, the source coordinator must start its recommendation workflow or explain the blocker. Local repairs may continue; systemic changes require approval.
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.
- today Changed · +21 lines · +230 tokens per session ca03eb291b8d
- yesterday Changed · +5 lines · +71 tokens per session 83e5c80f4d11
- 3d ago Changed · +53 lines · +681 tokens per session da264fbe99e3
- 7d ago First seen · 156 lines · 1,839 tokens per session scan A a8b4b9fc33e3
skills AGENTS.md is an instructions file published in the GitHub repository jesse-merhi/skills (3 stars, last pushed today), licensed MIT. It adds 2,821 tokens to every session, about $0.0141 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
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).
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.
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).
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.