k-skill AGENTS.md

A repository instruction file for k-skill. It records rules for releases, testing, package publishing and removing skills; a monorepo is one repository containing multiple packages.

In plain words
What is it for?
Use it when changing packages, release workflows, prompts, skills or tests in the k-skill repository. It explains the use of npm workspaces, Changesets and release-please.
Why use it?
It keeps changes consistent with the repository's release and verification process. It prevents manual version changes, premature publishing and tests that do not properly check prompt behavior.

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/nomadamas/k-skill/agents-md
Clone the repo
git clone --depth 1 https://github.com/NomaDamas/k-skill

Made for: Codex, OpenCode.

Per session 2,471 This file is loaded in full into every session.
When invoked 2,471 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 $0.02471 $0.02471
Opus 5 $0.01236 $0.01236
Sonnet 5 $0.00494 $0.00494
Haiku 4.5 $0.00247 $0.00247

Measured 3d ago against content hash 8b61811d441a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

k-skill 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 · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

k-skill repository instructions

This repository inherits the broader oh-my-codex guidance from the parent environment. These rules are repo-specific and apply to everything under this directory.

Release automation rules

  • Node packages live under packages/* and use npm workspaces.
  • Node package releases use Changesets. Do not hand-edit package versions only to cut a release; add a .changeset/*.md file instead.
  • npm publish is automated from GitHub Actions and should happen only after the bot-generated Version Packages PR is merged into main.
  • Python packages live under python-packages/* and use release-please. Until a real Python package exists, keep the Python release workflow as scaffold-only.
  • PyPI publish should run only when release-please reports release_created=true for a concrete package path.
  • Prefer trusted publishing via OIDC for npm and PyPI. Do not introduce long-lived registry tokens unless trusted publishing is unavailable.

Verification rules

  • For release or packaging changes, run npm run ci.
  • Keep release docs, workflow files, and package metadata aligned in the same change.

Skill deletion rules

  • When a skill is removed, delete its source, generated copies, package code, tests, fixtures, documentation, proxy helpers, and registry metadata from the repository.
  • Do not preserve removed skills or related code under legacy/, archive/, deprecated/, retired/, or any similar in-repository holding directory.
  • If future reimplementation may be useful, track the intent and requirements in a GitHub issue; Git history remains the source for retrieving deleted implementations.

Testing anti-patterns

  • Never write tests that assert .changeset/*.md files exist. Changesets are consumed (deleted) by changeset version during the release flow. Any test guarding changeset file presence will break CI on the version-bump commit and block the release pipeline.
  • Never write tests that pin a workspace package's version field (in package.json or package-lock.json). changeset version bumps these on every release, so any hardcoded version assertion will fail the next release commit and block the npm publish pipeline. Stable invariants like name, license, engines.node, or workspace link metadata are fine to assert; the version is not.

Read the full file on GitHub · 99 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 · 99 lines · 2,471 tokens per session scan A 8b61811d441a

Subscribe to this mod's changes

k-skill AGENTS.md is an instructions file published in the GitHub repository NomaDamas/k-skill (7,393 stars, last pushed yesterday), licensed MIT. It adds 2,471 tokens to every session, about $0.0124 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.

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