skill_creator

Instructions for creating a reusable coding-agent skill when no existing skill fits the task. They cover analyzing the missing capability, planning the skill, creating its files and dependencies, and activating it.

In plain words
What is it for?
Use them to design and bundle a new skill, including its name, description, category, source files, and Python dependencies. Then activate the created skill and follow its instructions.
Why use it?
They turn a one-off missing capability into an installable skill with defined instructions and reusable resources. They also discourage creating skills for tasks that existing tools already handle.

Skill for Claude CodeCodex

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 skills/ericwang915/pythonclaw/skill_creator
Any agent
npx skills add ericwang915/PythonClaw --skill skill_creator
Clone the repo
git clone --depth 1 https://github.com/ericwang915/PythonClaw

Made for: Claude Code, Codex.

Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 630 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 $0.00065 $0.00630
Opus 5 $0.00032 $0.00315
Sonnet 5 $0.00013 $0.00126
Haiku 4.5 $0.00006 $0.00063

Measured 2d ago against content hash 47d78778e1c6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skill_creator 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 2d 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.

pythonclaw/templates/skills/meta/skill_creator/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill Creator

When to Use

  • The user asks for something no installed skill covers
  • An existing skill is too limited and needs a better replacement
  • A recurring task would benefit from a dedicated, reusable skill

When NOT to Use

  • One-off tasks that existing tools can handle (e.g., run_command for shell)
  • Skills too specific to be reused — generalize first
  • Don't hardcode user-specific values (names, URLs, topics) — use parameters

Setup

Uses the create_skill tool. No API keys or external setup required.

Usage/Commands

  1. Analyze the gap: identify what capability is missing
  2. Plan the skill: name, category, scripts, pip dependencies
  3. Call create_skill with:
    • name — short, snake_case (e.g., pdf_summarizer)
    • description — one-line summary
    • instructions — full Markdown body
    • category — e.g., data, dev, web, automation
    • resources — dict mapping filenames to source code
    • dependencies — list of pip packages
  4. Activate: use_skill(skill_name="<name>")
  5. Run it: follow the loaded instructions

Design Principles

  • Generic over specific — parameterize everything; avoid hardcoded topics/recipients
  • Single responsibility — one skill, one purpose
  • Parameterized — use CLI args, not hardcoded values
  • Config-driven credentials — read from pythonclaw.json under skills.<name>
  • Minimal dependencies — only add pip packages when truly needed
  • Reusable — ask: "Would this help someone with a different task?"

SKILL.md Body Template

## Instructions
<Clear explanation and when to use.>

### Prerequisites
<Setup, API keys if needed>

### Usage
1. <steps>
2. Call: `python context/skills/<category>/<name>/<script>.py <args>`
3. <interpret results>

### Examples
**Example:** <typical use case>

## Resources
| File | Description |
|------|-------------|
| script.py | <what it does> |

Notes

  • Design for reuse: generalize queries, recipients, URLs
  • Write production-quality Python with error handling and docstrings
  • After creation, call use_skill to load the new instructions before running

Read the full file on GitHub · 80 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. 2d ago First seen · 80 lines · 65 tokens per session scan A 47d78778e1c6

Subscribe to this mod's changes

skill_creator is a skill published in the GitHub repository ericwang915/PythonClaw (41 stars, last pushed 24d ago), licensed MIT. It adds 65 tokens to every session and 630 once invoked, about $0.0003 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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