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.
npx agentmods add skills/luongnv89/asm/skill-creatornpx skills add luongnv89/asm --skill skill-creatorgit clone --depth 1 https://github.com/luongnv89/asmWhat 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.
| Model | Per session | Once 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 |
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.
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.
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:
- Decide what the skill should do and how it should do it
- Write a draft
- Run test prompts against claude-with-access-to-the-skill
- Evaluate results with the user (qualitative review via
eval-viewer/generate_review.py, plus quantitative evals) - Revise the skill based on feedback and benchmarks
- 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.
What ships with it
35 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/analyzer.md 10 KB
- agents/comparator.md 7.4 KB
- agents/grader.md 8.8 KB
- assets/eval_review.html 8.3 KB
- docs/README.md 4.2 KB
- eval-viewer/generate_review.py 16 KB runs code
- eval-viewer/viewer.html 50 KB
- LICENSE.txt 11 KB
- references/dependency-preflight.md 4.3 KB
- references/description-guide.md 2.6 KB
- references/description-optimization.md 5.5 KB
- references/environment-modes.md 4.4 KB
- references/eval-loop.md 8.8 KB
- references/exemplars.md 13 KB
- references/frontmatter-rules.md 5.6 KB
- references/improving-existing.md 3.4 KB
- references/intent-interview.md 4.2 KB
- references/iteration.md 6.5 KB
- references/predictability-rubric.md 10 KB
- references/readme-template.md 3.5 KB
- references/run-stats.md 2.0 KB
- references/schemas.md 14 KB
- references/subagent-patterns.md 20 KB
- references/validation-prompts.md 6.7 KB
- references/writing-guide.md 12 KB
- scripts/__init__.py 0 B runs code
- scripts/aggregate_benchmark.py 14 KB runs code
- scripts/generate_report.py 13 KB runs code
- scripts/improve_description.py 10 KB runs code
- scripts/init_skill.py 12 KB runs code
- scripts/package_skill.py 4.3 KB runs code
- scripts/quick_validate.py 6.8 KB runs code
- scripts/run_eval.py 11 KB runs code
- scripts/run_loop.py 13 KB runs code
- scripts/utils.py 1.6 KB runs code
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.
- 3d ago First seen · 235 lines · 54 tokens per session scan A 1528e838d063
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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