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 waybarrios/opencode-power-pack --skill skill-creatorgit clone --depth 1 https://github.com/waybarrios/opencode-power-packWrote 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/waybarrios/opencode-power-pack/skill-creator)<a href="https://agentmods.dev/skills/waybarrios/opencode-power-pack/skill-creator"><img src="https://agentmods.dev/badge/skills/waybarrios/opencode-power-pack/skill-creator/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/waybarrios/opencode-power-pack/skill-creator"><img src="https://agentmods.dev/badge/skills/waybarrios/opencode-power-pack/skill-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00063 | $0.01810 |
| Opus 5.5 | $0.00025 | $0.00724 |
| Sonnet 5.5 | $0.00013 | $0.00362 |
| Haiku 4.5 | $0.00006 | $0.00181 |
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 1mo 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 — 157 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.
At a high level, the process of creating a skill goes like this:
- Decide what the skill should do and roughly how it should do it
- Write a draft of the skill (
SKILL.md) - Try the skill on a few realistic test prompts
- Evaluate the results, both qualitatively (does the output look right?) and, where possible, with simple verifiable assertions
- Refine the skill based on what you observed
- Repeat until satisfied
- Optimize the description for accurate triggering
Your job when using this skill is to figure out where the user is in this process and help them progress through the stages. If they say "I want to make a skill for X", help narrow down what they mean, write a draft, try a few realistic prompts, and iterate. If they already have a draft, jump straight to testing and iterating.
If the user just says "vibe with me, no formal evals", do that.
Communicating with the user
Skill-creator is liable to be used by people across a wide range of familiarity with coding jargon. Pay attention to context cues:
- "evaluation" / "benchmark" — borderline OK
- "JSON" / "assertion" — explain unless the user shows familiarity
It is fine to briefly clarify a term when in doubt.
Capture intent
Start by understanding what the user wants. The current conversation may already contain the workflow to capture (e.g., they say "turn this into a skill"). If so, extract answers from the conversation history first — the tools used, the sequence of steps, corrections made, the input/output formats observed. The user can fill the gaps and confirm.
Ask:
- What should this skill enable the model to do?
- When should this skill trigger? (what user phrases / contexts)
- What is the expected output format?
- Should we set up test cases to verify the skill works? Skills with objectively verifiable outputs (file transforms, data extraction, code generation, fixed workflow steps) benefit from test cases. Skills with subjective outputs (writing style, art) often do not. Suggest the appropriate default but let the user decide.
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.
- 1mo ago First seen · 157 lines · 63 tokens per session scan A a0576cd0a7c5
skill-creator is a skill published in the GitHub repository waybarrios/opencode-power-pack (544 stars, last pushed 6d ago), licensed MIT. It adds 63 tokens to every session and 1,810 once invoked, about $0.0003 per session on Opus 5.5. 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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