skills AGENTS.md

skills AGENTS.md is an instructions file for Codex, OpenCode from mimukit/skills. It costs 5,886 tokens per session, scanned A, original, MIT.

Repository instructions for creating and maintaining AI-agent skills in the mimukit/skills project. They define naming rules, documentation descriptions, and how skill information should be organized.

In plain words
What is it for?
Use them when creating, renaming, editing, or documenting skills in that repository.
Why use it?
They keep a collection of skills consistent and easier to find. They also give agents project-specific rules that general coding instructions would not contain.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/mimukit/skills/agents-md
Clone the repo
git clone --depth 1 https://github.com/mimukit/skills

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for skills AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/mimukit/skills/agents-md.svg)](https://agentmods.dev/instructions/mimukit/skills/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/mimukit/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/mimukit/skills/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 5,886 This file is loaded in full into every session.
When invoked 5,886 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.05886 $0.05886
Opus 5 $0.02943 $0.02943
Sonnet 5 $0.01177 $0.01177
Haiku 4.5 $0.00589 $0.00589

Measured 3d ago against content hash cd26d209e5a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 3d 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.

AGENTS.md · 183 lines

How it starts

The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Conventions for AI agents authoring or maintaining skills in this repository — a personal collection of AI agent skills. Follow these whenever you create, rename, or edit a skill.

Skill naming: the kit convention

Every skill uses a kit suffix — a personal brand hidden in the owner's name, mukit, that also reads as "a kit for X."

Rules:

  • One word, lowercase, functional term first with kit appended: commitkit, humankit, prkit.
  • The functional word must lead so the skill stays searchable — people search commit, not kit. Never bury the term behind a prefix.
  • Shorten an awkward root rather than force a clumsy join: humanizehumankit, not humanizekit.
  • Avoid collisions with well-known tools: speckit (GitHub spec-kit), shipkit (SaaS boilerplate), and anything already popular.
  • The name: field in a skill's frontmatter must match its directory name exactly.

Descriptions

A description is a context pointer — it names material the agent isn't holding and encodes the condition for reaching it. Every description in the collection loads on every turn whether or not its skill fires, so the wording does the triggering work and the whole set shares one budget.

  • Front-load an English "Use when …" trigger, so agent triggering and text search work regardless of the branded name.
  • One trigger per branch, not per synonym. A branch is a distinct case the skill handles, usually a mode. Cover every branch; collapse the phrasings that rename a single one. "teach me X" and "I want to learn X" are one branch written twice, where "teach me X" and "quiz me" are two branches.
  • Cut identity the body already carries. A pointer states what the material is and when to reach it. It doesn't restate the skill's rules, its guarantees, or its scope disclaimers.
  • Undertriggering is still the expensive failure. Prune synonyms, never coverage — a branch with no trigger silently never fires, and no lint rule can see that.

Read the full file on GitHub · 183 lines

Changes

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.

  1. 3d ago First seen · 183 lines · 5,886 tokens per session scan A cd26d209e5a4

Subscribe to this mod's changes

skills AGENTS.md is an instructions file published in the GitHub repository mimukit/skills (1 stars, last pushed 3d ago), licensed MIT. It adds 5,886 tokens to every session, about $0.0294 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.