skill-creator

A skill-development workflow for creating, improving, testing, and benchmarking reusable agent skills.

In plain words
What is it for?
Use it to draft a new skill, evaluate an existing one with test prompts, review outcomes, and optimize its trigger description.
Why use it?
It provides a structured way to turn a repeated workflow into reliable instructions and measure whether revisions improve results.

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/luongnv89/asm/skill-creator
Any agent
npx skills add luongnv89/asm --skill skill-creator
Clone the repo
git clone --depth 1 https://github.com/luongnv89/asm

Made for: Claude Code, Codex.

Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,489 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 $0.00054 $0.04489
Opus 5 $0.00027 $0.02244
Sonnet 5 $0.00011 $0.00898
Haiku 4.5 $0.00005 $0.00449

Measured 3d ago against content hash 1528e838d063, 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 3d ago.

The scan reads SKILL.md. This mod also ships 11 executable files (eval-viewer/generate_review.py, scripts/__init__.py, scripts/aggregate_benchmark.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/skill-creator/SKILL.md · 235 lines

How it starts

The opening of the file, as written. The whole thing — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill Creator

A skill for creating new skills and iteratively improving them. The agent's context budget is the primary constraint, so this SKILL.md links out to focused reference files.

The core loop:

  1. Decide what the skill should do and how it should do it
  2. Write a draft
  3. Run test prompts against claude-with-access-to-the-skill
  4. Evaluate results with the user (qualitative review via eval-viewer/generate_review.py, plus quantitative evals)
  5. Revise the skill based on feedback and benchmarks
  6. Repeat until satisfied; expand the test set and try again at scale

Identify where the user is in this loop and jump in there. New skill from scratch → start at step 1. Existing draft → jump to step 3 or 4. User wants to vibe-iterate without formal evals → support that. After the skill stabilizes, optionally run the description improver to optimize triggering.

Two entry paths

The skill supports two distinct workflows. Identify which one the user is on before you do anything else — they don't share a starting step.

  • Path A — Create a new skill from scratch. The user wants to capture a workflow, codify a pattern, or build a new capability. Start at "Creating a skill" below (Capture Intent → Interview → Write SKILL.md → Test → Eval).
  • Path B — Improve an existing skill. The user points to a skill that already exists and wants it brought up to standard, fixed, optimized, or iterated based on eval feedback. Do not start with Capture Intent — the intent is already encoded in the existing SKILL.md. Start at "Improving an existing skill" below.

If the request is ambiguous ("can you look at this skill?"), assume Path B and confirm before interviewing as if it were new. Path B also fires when /skill-creator is invoked on a skill directory or file.

Both paths share the mandatory rules below: Repo Sync Before Edits, Dependency Preflight, Version Management, YAML Frontmatter Safety, and Frontmatter Audit on Review/Evaluation. Apply them in either path. Both paths also close with the Run stats block.

Read the full file on GitHub · 235 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 · 235 lines · 54 tokens per session scan A 1528e838d063

Subscribe to this mod's changes

skill-creator is a skill published in the GitHub repository luongnv89/asm (902 stars, last pushed 4d ago), licensed MIT. It adds 54 tokens to every session and 4,489 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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