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/mgiovani/cc-arsenal/create-skillnpx skills add mgiovani/cc-arsenal --skill create-skillgit clone --depth 1 https://github.com/mgiovani/cc-arsenalWrote 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/mgiovani/cc-arsenal/create-skill)<a href="https://agentmods.dev/skills/mgiovani/cc-arsenal/create-skill"><img src="https://agentmods.dev/badge/skills/mgiovani/cc-arsenal/create-skill.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 | $0.00133 | $0.04360 |
| Opus 5 | $0.00067 | $0.02180 |
| Sonnet 5 | $0.00027 | $0.00872 |
| Haiku 4.5 | $0.00013 | $0.00436 |
Grade A, and why
create-skill 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 — 340 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Skill
Create new agent skills with specification-driven generation, live documentation fetching, and interactive planning.
Writing Philosophy
Apply these when drafting the generated skill's description and body in Phase 4: they make the difference between a skill that works once vs. one that works reliably across varied inputs:
Descriptions lead with use case. Open with the concrete use case, then the trigger phrases a user would actually type: third person, WHAT the skill does + WHEN to use it. If a sibling skill covers adjacent territory, add one "Not for X (use )" clause per real overlap: that single clause prevents more wrong triggers than three extra trigger phrases. Cap at 1024 chars (the bundled validator enforces it).
Explain WHY only at hard boundaries. Add reasoning only where an agent would otherwise plausibly do the wrong thing (e.g. "fetch live specs: cached docs go stale within weeks"). Everywhere else, a plain imperative ("Run the validator.") is faster to read and no less correct. Justifying every line is noise, not guidance.
Keep it lean; reserve ALL-CAPS for true invariants. Remove instructions that aren't pulling their weight: a 100-line skill often beats a 500-line skill diluted with edge cases that never occur. CRITICAL/MUST/ALWAYS/NEVER should mark the handful of things that really are non-negotiable; a word repeated ten times protects nothing.
Generalize, don't overfit: Skills designed only around their own test examples fail in practice. Design for the pattern, not the specific instance. Ask: "Would this instruction still apply if the user's request looked different?"
Mine conversations first: Users rarely articulate needs perfectly upfront. Extract information they've already provided before asking more questions.
Refusal and precondition paths end at the question. When the generated skill needs the user to resolve an ambiguity or confirm before a destructive step, its instruction should stop at asking: never "ask, then proceed anyway if there's no reply." A non-interactive eval run can't pause mid-task; a skill written to assume it can either hangs or silently guesses.
What ships with it
13 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.
- evals/evals.json 3.5 KB
- evals/trigger-eval.json 2.2 KB
- references/agent-prompts.md 4.4 KB
- references/eval-system.md 5.4 KB
- references/frontmatter-fields.md 2.8 KB
- references/schemas.md 6.0 KB
- references/skill-anatomy.md 9.1 KB
- references/specification-urls.md 2.7 KB
- scripts/generate_report.py 11 KB runs code
- scripts/improve_description.py 17 KB runs code
- scripts/package_skill.py 4.5 KB runs code
- scripts/quick_validate.py 11 KB runs code
- scripts/run_eval.py 8.1 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.
- 4d ago First seen · 340 lines · 133 tokens per session scan A 0f6f4b8e9b71
create-skill is a skill published in the GitHub repository mgiovani/cc-arsenal (7 stars, last pushed 5d ago), licensed MIT. It adds 133 tokens to every session and 4,360 once invoked, about $0.0007 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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