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 curiositech/some_claude_skills --skill skill-gradergit clone --depth 1 https://github.com/curiositech/some_claude_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/curiositech/some_claude_skills/skill-grader)<a href="https://agentmods.dev/skills/curiositech/some_claude_skills/skill-grader"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/skill-grader/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/curiositech/some_claude_skills/skill-grader"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/skill-grader.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 180 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
- medium Excessive Agency · line 284 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00097 | $0.02747 |
| Opus 5 | $0.00048 | $0.01373 |
| Sonnet 5 | $0.00019 | $0.00549 |
| Haiku 4.5 | $0.00010 | $0.00275 |
Grade A, and why
skill-grader 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 8d 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 — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Grader
Structured evaluation rubric for Claude Agent Skills. Produces letter grades (A+ through F) on 10 axes plus an overall grade, with specific improvement recommendations for each axis.
Designed for sub-agents and non-expert reviewers who need a mechanical, repeatable process for assessing skill quality without deep domain expertise.
When to Use
✅ Use for:
- Auditing a single skill's quality
- Comparing skills against each other
- Prioritizing which skills to improve first
- Quality control sweeps across a skill library
- Generating improvement roadmaps
❌ NOT for:
- Creating new skills (use
skill-architect) - Grading code quality or non-skill documents
- Evaluating agent performance (different from skill quality)
Grading Process
flowchart TD
A[Read SKILL.md + all files] --> B[Score each of 10 axes]
B --> C[Assign letter grade per axis]
C --> D[Compute overall grade]
D --> E[Write improvement recommendations]
E --> F[Produce grading report]
Step-by-Step
- Read the entire skill folder — SKILL.md, all references, scripts, CHANGELOG, README
- Score each axis — Use the rubric below (0-100 per axis)
- Convert to letter grade — See grade scale
- Compute overall grade — Weighted average (Description and Scope are 2x weight)
- Write 1-3 specific improvements per axis scoring below B+
- Produce the grading report in the output format below
The 10 Evaluation Axes
Axis 1: Description Quality (Weight: 2x)
Does the description follow [What] [When] [Keywords]. NOT for [Exclusions]?
| Grade | Criteria |
|---|---|
| A | Specific verb+noun, domain keywords users would type, 2-5 explicit NOT exclusions, 25-50 words |
| B | Has keywords and NOT clause, but slightly vague or missing synonym coverage |
| C | Too generic, missing NOT clause, or >100 words of process detail |
| D | Single vague sentence ("helps with X") or name/description mismatch |
| F | Missing or empty description |
What ships with it
1 file 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.
- 8d ago First seen · 294 lines · 97 tokens per session scan A 33b421f2a0a0
skill-grader is a skill published in the GitHub repository curiositech/some_claude_skills (221 stars, last pushed 5d ago), licensed MIT. It adds 97 tokens to every session and 2,747 once invoked, about $0.0005 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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