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 aristoteleo/awesome-skill-generate --skill skill-quality-scorergit clone --depth 1 https://github.com/aristoteleo/awesome-skill-generateWrote 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/aristoteleo/awesome-skill-generate/skill-quality-scorer)<a href="https://agentmods.dev/skills/aristoteleo/awesome-skill-generate/skill-quality-scorer"><img src="https://agentmods.dev/badge/skills/aristoteleo/awesome-skill-generate/skill-quality-scorer/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/aristoteleo/awesome-skill-generate/skill-quality-scorer"><img src="https://agentmods.dev/badge/skills/aristoteleo/awesome-skill-generate/skill-quality-scorer.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 | $0.00077 | $0.01144 |
| Opus 5 | $0.00039 | $0.00572 |
| Sonnet 5 | $0.00015 | $0.00229 |
| Haiku 4.5 | $0.00008 | $0.00114 |
Grade A, and why
skill-quality-scorer 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 11d 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Quality Scorer
Goal
Score a skill on quality, not domain sophistication. Review whether another agent could trigger and use the skill reliably with minimal ambiguity and minimal context waste.
Quick Workflow
- Read the target
SKILL.md. - If the skill documents a real callable or CLI, inspect the live interface before trusting notebook-derived claims.
- For data workflows, try to follow the skill on representative data before final scoring.
- Read only the referenced files needed to judge execution quality, resource partitioning, validation quality, source grounding, and empirical executability.
- Score each required dimension using
references/rubric.md. - Apply hard gates before computing the final verdict.
- Return a compact scorecard plus the highest-signal revision guidance.
- For every dimension score, include an explicit rationale directly under that score in the report.
- Write a human-readable Markdown score report to the current working directory instead of hiding it inside the generated skill folder.
Scope
Use this skill to review:
- a skill folder
- a standalone
SKILL.md - a proposed skill diff
- two competing skill designs
- a notebook-derived skill after conversion
Do not score:
- the scientific correctness of the underlying domain unless the skill itself makes unsupported domain claims
- code quality outside the skill's own bundled scripts and instructions
- repository-wide documentation unrelated to the skill
Review Rules
- Default to reading
SKILL.mdfirst. - Read
references/only when the main skill explicitly depends on them or when resource partitioning is being scored. - Read
scripts/only when the skill relies on them for core execution or validation. - When the skill claims concrete function or CLI behavior, verify that behavior against source,
help(...), or-h/--helpbefore treating the skill as complete. - For notebook-derived data workflows, do not stop at interface inspection if representative data can be constructed or loaded reasonably.
- Treat missing branch coverage for
method,backend,mode,provider, or similar parameters as a real usability risk, not a minor omission. - Do not reward verbosity.
- Do not reward domain difficulty.
- Do not assume missing validation or compatibility notes are present elsewhere.
- Penalize trigger ambiguity, execution ambiguity, and hidden dependencies aggressively.
What ships with it
5 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.
- 11d ago First seen · 118 lines · 77 tokens per session scan A b34cdea375ff
skill-quality-scorer is a skill published in the GitHub repository aristoteleo/awesome-skill-generate (11 stars, last pushed 5mo ago), licensed BSD-2-Clause. It adds 77 tokens to every session and 1,144 once invoked, about $0.0004 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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