skill-authoring

skill-authoring is a skill for Claude Code from HezaoHezao/poirot. It costs 17 tokens per session (2,310 once invoked), scanned A, original, MIT.

A guide to writing SKILL.md files, which describe reusable instructions for coding agents.

In plain words
What is it for?
It helps create, edit, and commit agent skills with valid metadata, structure, and tool settings.
Why use it?
It explains the required file format and where built-in or personal skills belong, reducing parsing and packaging errors.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: built for hermes-agent.

Good fit It helps create, edit, and commit agent skills with valid metadata, structure, and tool settings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hezaohezao/poirot/skill-authoring
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.

Any agent
npx skills add HezaoHezao/poirot --skill skill-authoring
Clone the repo
git clone --depth 1 https://github.com/HezaoHezao/poirot

Made for: Claude Code.

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 skill-authoring

README.md
[![agentmods](https://agentmods.dev/badge/skills/hezaohezao/poirot/skill-authoring/github.svg)](https://agentmods.dev/skills/hezaohezao/poirot/skill-authoring)
Your own site
<a href="https://agentmods.dev/skills/hezaohezao/poirot/skill-authoring"><img src="https://agentmods.dev/badge/skills/hezaohezao/poirot/skill-authoring/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.

agentmods 80×15 button for skill-authoring

Your own site · 80×15
<a href="https://agentmods.dev/skills/hezaohezao/poirot/skill-authoring"><img src="https://agentmods.dev/badge/skills/hezaohezao/poirot/skill-authoring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,310 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00017 $0.02310
Opus 5 $0.00009 $0.01155
Sonnet 5 $0.00003 $0.00462
Haiku 4.5 $0.00002 $0.00231

Measured 11d ago against content hash 9978210122c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

skill-authoring 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 11d 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.

poirot/backend/agents/skill/builtin_skills/core/skill-authoring/SKILL.md · 253 lines

How it starts

The opening of the file, as written. The whole thing — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Authoring Poirot Skills

Overview

A SKILL.md can live in two places:

  1. Builtin (in-repo): poirot/backend/agents/skill/builtin_skills/<category>/<name>/SKILL.md — committed, shipped with the package. Use write_file + git add.
  2. User-local: skills/<name>/SKILL.md — personal, gitignored. Created via /skill install <path> or by writing directly.

This skill covers authoring for both, with emphasis on builtin skills.

When to Use

  • User asks you to add a skill "in this repo / commit"
  • You're committing a reusable workflow that should ship with Poirot
  • You're editing an existing skill under builtin_skills/

Required Frontmatter

Source of truth: poirot/backend/agents/skill/parser.py::parse_skill_file. Hard requirements:

  • Starts with --- as the first bytes (no leading blank line).
  • Closes with \n---\n before the body.
  • Parses as a YAML mapping.
  • name field present (lowercase, hyphens).
  • description field present.

Peer-matched shape:

---
name: my-skill-name               # lowercase, hyphens
description: Use when <trigger>. <one-line behavior>.
allowed-tools:                    # Poirot tools this skill may invoke
  - bash
  - read_file
  - write_file
  - list_dir
  - str_replace
  - web_search
  - browse_page
  - present_files
  - read_snapshot
enabled: true
related-skills: [other-skill]     # optional cross-references
license: MIT                      # recommended for contributed skills
author: <human contributor or source attribution>
---

allowed-tools / enabled / related-skills / license / author are NOT enforced by the parser (it reads name/description/allowed-tools/enabled), but every peer has them — omit and your skill sticks out.

Description Standard

description ≤ 60 characters, one sentence, ends with a period. State the capability, not the implementation. No marketing words ("powerful", "comprehensive", "seamless"). Don't repeat the skill name.

Verify:

import re, pathlib
m = re.search(r'^description: (.*)$',
              pathlib.Path('builtin_skills/<cat>/<name>/SKILL.md').read_text(),
              re.MULTILINE)
assert len(m.group(1)) <= 60, len(m.group(1))

Read the full file on GitHub · 253 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. 11d ago First seen · 253 lines · 17 tokens per session scan A 9978210122c8

Subscribe to this mod's changes

skill-authoring is a skill published in the GitHub repository HezaoHezao/poirot (217 stars, last pushed 1mo ago), licensed MIT. It adds 17 tokens to every session and 2,310 once invoked, about $0.0001 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.

Related

Other skills, from other repositories

commit

Atomic git commit with conventional message. Use when the user says "commit", "save my changes", "commit this", or wants to create a git commit. Stages specific files, writes a conventional commit message with body explaining non-obvious decisions. Never uses git add -A.

congchuanling-dot/Cohort · 59 tokens

python-run

Run and debug Python scripts in the project. Use when the user says "run python", "execute this script", "debug this py file", or wants to run/modify a .py file. Handles dependency checks, linting, execution, and error analysis.

congchuanling-dot/Cohort · 56 tokens

hqe

Comprehensive codebase health auditing, remediation, and verification skill based on the canonical HQE Protocol v5.0.0.

spearchucker667/Skill-HQE · 29 tokens

cost-efficiency-analyzer

Analyzes cost structure, cost efficiency, and expense management from P&L data. Use when the user asks about costs, expenses, COGS, operating expenses, cost ratios, cost control, spending efficiency, margin compression from cost side, or wants to understand where money is going. Also use for "are we spending too…

awslabs/agentcore-samples · 98 tokens

computer-use

Read and drive native desktop applications through the accessibility layer — list on-screen apps, snapshot one window as a numbered element tree, then click / type / set a value / scroll / drag / run a named action, by element index or by screen coordinates. Use for work in a desktop app rather than a web page. Full…

kirodotdev/KiroCrew · 105 tokens

goal-conductor

Own a long-horizon goal end to end - decompose it into work items, stand up one top-level session per item, patrol their state on a nudge loop, and decide each next round until the goal is met or a stop condition fires. Use when the user hands over a goal too large for one session ("clear the flaky-test backlog"…

kirodotdev/KiroCrew · 105 tokens