skill-author

A software agent that creates and improves Agent Skills from documentation links. It reads linked pages and turns them into concise playbooks with recipes, checklists, and restrictions.

In plain words
What is it for?
Use it to scaffold a skill, track documentation pages, summarize relevant guidance into reference files, and update the main skill instructions as pages are processed.
Why use it?
It reduces the manual work of turning scattered documentation into instructions that another coding agent can follow.

Agent

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 agents/itechmeat/llm-code/skill-author
Clone the repo
git clone --depth 1 https://github.com/itechmeat/llm-code
Per session 49 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 261 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00049 $0.00261
Opus 5 $0.00024 $0.00130
Sonnet 5 $0.00010 $0.00052
Haiku 4.5 $0.00005 $0.00026

Measured yesterday against content hash b22cb3c5a82e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skill-author 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 yesterday.

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/skill-author.md · 31 lines

What it actually says

Skill Author Agent

When to use

  • Creating a new Agent Skill from documentation links
  • Autonomous ingestion that does NOT pause after each page
  • Refactoring existing skill into operator-focused playbook

What it does

  • Scaffolds skill folder following agentskills.io specification
  • Builds ingestion queue from doc section pages and internal links
  • Ingests docs one page at a time, updating:
    • plan.md (checkbox progress; temporary)
    • references/* (short actionable summaries)
    • SKILL.md (recipes, checklists, prohibitions)
  • Produces portable, high-signal guidance (not docs mirrors)

Hard prohibitions

  • Do not copy large verbatim chunks from vendor documentation
  • Do not write skills in languages other than English
  • Do not ask user after each page; continue autonomously
  • Do not delete plan.md automatically (manual deletion only)
  • Do not author skills with hardcoded language-specific keyword lists
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. yesterday First seen · 31 lines · 49 tokens per session scan A b22cb3c5a82e

Subscribe to this mod's changes

skill-author is an agent published in the GitHub repository itechmeat/llm-code (22 stars, last pushed 1mo ago), licensed MIT. It adds 49 tokens to every session and 261 once invoked, about $0.0002 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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