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 skills add pedroiff0/awesome-skills --skill skill-templategit clone --depth 1 https://github.com/pedroiff0/awesome-skillsWrote 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/pedroiff0/awesome-skills/skill-template)<a href="https://agentmods.dev/skills/pedroiff0/awesome-skills/skill-template"><img src="https://agentmods.dev/badge/skills/pedroiff0/awesome-skills/skill-template/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/pedroiff0/awesome-skills/skill-template"><img src="https://agentmods.dev/badge/skills/pedroiff0/awesome-skills/skill-template.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00031 | $0.00316 |
| Opus 5 | $0.00015 | $0.00158 |
| Sonnet 5 | $0.00006 | $0.00063 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
my-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 9d 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.
What it actually says
My Skill
Purity rules (apply to every skill here): no secrets; anything touching
*API*must be pure — no leaked credentials (keys/tokens) and no proprietary/closed-source code. Use public specs, fictional examples, stubs.
Short paragraph: what problem this solves and for whom.
When to Use
- Bullet triggers: "do X", "help me with Y", "I need Z".
- Another scenario the agent will recognize.
Prerequisites
# commands/packages needed before use
Steps
- First concrete action with a real command or code.
- Second action, building on the first.
- Verify the result (show the check).
Examples
# minimal worked example
Pitfalls
- Common failure and how to avoid it.
- Edge case the agent should handle.
References
references/extra.md— deeper material (optional).scripts/helper.py— reusable automation (optional).
What ships with it
3 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.
- 9d ago First seen · 54 lines · 31 tokens per session scan A 713e1eb5c328
my-skill is a skill published in the GitHub repository pedroiff0/awesome-skills (1 stars, last pushed 5d ago), licensed MIT. It adds 31 tokens to every session and 316 once invoked, about $0.0002 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 2026-09-03.
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