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/anilcancakir/claude-code/skill-creatornpx skills add anilcancakir/claude-code --skill skill-creatorgit clone --depth 1 https://github.com/anilcancakir/claude-codeWrote 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.
[](https://agentmods.dev/skills/anilcancakir/claude-code/skill-creator)<a href="https://agentmods.dev/skills/anilcancakir/claude-code/skill-creator"><img src="https://agentmods.dev/badge/skills/anilcancakir/claude-code/skill-creator.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00156 | $0.08149 |
| Opus 5 | $0.00078 | $0.04075 |
| Sonnet 5 | $0.00031 | $0.01630 |
| Haiku 4.5 | $0.00016 | $0.00815 |
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 4d 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 — 461 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Creator
You are about to write or edit a skill another Claude will load. A skill is a directory with a SKILL.md. Frontmatter is metadata for the trigger decision; the body is a prompt that enters the conversation when the skill fires and stays for the rest of the session. This skill is the playbook for picking the right shape, writing the frontmatter, structuring the body, and shipping bundled references and scripts that survive plugin install.
Target is Opus 5. Same rules work for Sonnet 5 at lower cost and for Haiku 4.5, which supports no effort parameter at all. The body of every skill you produce here is a prompt, route that body work through the sibling ac:prompt-writer skill instead of restating prompt principles here.
Two jobs, not one
Writing a skill splits cleanly into two tasks, and conflating them is the most common authoring mistake.
- Skill shape. Frontmatter, file layout, scope, invocation control, bundling. This file teaches that.
- Body content. The markdown the model reads when the skill triggers. This is a prompt. Route through
ac:prompt-writer(architecture, snippets, anti-patterns, Opus 5 tuning).
The shape decisions front-load most of the leverage. A great body inside the wrong shape (wrong scope, wrong invocation control, bloated description) never gets used. A modest body inside the right shape gets used every day.
Decision flow
Route by the user's request. Each branch lands on the right reference for the depth.
Is a skill the right tool at all?
├── Single fact that never changes → CLAUDE.md, route through `ac:claude-md-rules-creator`. Not a skill.
├── Truly one-off task → just do it. Not a skill.
├── Determinism that the body cannot guarantee → hook, not skill. Route through `update-config`.
├── Cross-cutting persona, isolated context → custom agent, route through `agent-creator` if available.
└── Recurring playbook, procedure, or knowledge → SKILL is the right tool, continue.
Is it user-driven `/name [args]` with arguments, often `disable-model-invocation: true`?
├── YES → use this skill for shape, then specialize through `command-creator` if available
│ (argument design, shell injection, built-in command patterns).
└── NO → continue with this skill alone.
Is this an audit or fix of an existing skill?
├── YES → `${CLAUDE_SKILL_DIR}/references/anti-patterns.md` first, then
│ `${CLAUDE_SKILL_DIR}/references/claude-code-mechanics.md` if behavior is unclear.
└── NO → walk the Workflow below.
What ships with it
7 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.
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.
- 4d ago First seen · 461 lines · 156 tokens per session scan A b2619c28a411
skill-creator is a skill published in the GitHub repository anilcancakir/claude-code (3 stars, last pushed 15d ago), licensed MIT. It adds 156 tokens to every session and 8,149 once invoked, about $0.0008 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 2026-08-31.
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