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.
git clone --depth 1 https://github.com/athola/claude-night-marketWrote 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/commands/athola/claude-night-market/skills-eval)<a href="https://agentmods.dev/commands/athola/claude-night-market/skills-eval"><img src="https://agentmods.dev/badge/commands/athola/claude-night-market/skills-eval/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/commands/athola/claude-night-market/skills-eval"><img src="https://agentmods.dev/badge/commands/athola/claude-night-market/skills-eval.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 | $0.00024 | $0.00371 |
| Opus 5 | $0.00012 | $0.00186 |
| Sonnet 5 | $0.00005 | $0.00074 |
| Haiku 4.5 | $0.00002 | $0.00037 |
Grade A, and why
skills-eval 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 12d 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
Skills Evaluation Command
Invoke Skill(abstract:skills-eval), which carries the evaluation criteria,
the workflow and the output format across its modules.
When To Use
Use this command when you need to:
- Auditing skill ecosystem quality
- Discovering implementation patterns
- Planning skill improvements
- Checking compliance with standards
- Generating improvement recommendations
When NOT To Use
Avoid this command if:
- Evaluating hooks - use /hooks-eval instead
- Validating plugin structure - use /validate-plugin instead
- Creating new skills - use /create-skill instead
Usage
Evaluates all Claude Skills in your ~/.claude/ ecosystem for quality, compliance, and potential improvements.
Basic Usage
/prompt:skills-eval
Evaluates all discovered skills and generates improvement recommendations.
Specific Skill Evaluation
/prompt:skills-eval <skill-name>
Evaluates a specific skill (e.g., /prompt:skills-eval modular-skills).
Examples
/prompt:skills-eval
# Evaluates all 50+ skills, identifies 5 critical issues and 20+ improvements
/prompt:skills-eval modular-skills
# Deep dive on specific skill with detailed improvement plan
Integration with Tools
This command uses the skills-eval skill's specialized tools:
skills-auditor: Quality analysisimprovement-suggester: Actionable recommendation generationcompliance-checker: Standards and security validation
This evaluation validates an efficient skills ecosystem that follows Claude Skills best practices.
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.
- 12d ago First seen · 62 lines · 24 tokens per session scan A 3c7bbbb93efe
skills-eval is a command published in the GitHub repository athola/claude-night-market (337 stars, last pushed yesterday), licensed MIT. It adds 24 tokens to every session and 371 once invoked, about $0.0001 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.
Other commands, from other repositories
analyze-codebase
Generate comprehensive analysis and documentation of entire codebase.
prompt
System instructions for writing effective prompts. Apply when generating commands, skills, agents, or any LLM instructions.
anti-slop-designer
Use when a UI looks machine-made rather than decided. Violet gradients, glassmorphism everywhere, identical cards in a grid, untouched shadcn or Material defaults, emoji bullets, or copy stuffed with seamless and unlock.
design-critic
Use when you want an honest read on a design instead of encouragement. What is wrong, ranked by severity, with the reason attached. Works on a screenshot, a mockup, or a described screen.
ui-copywriter
Use when writing marketing or landing copy. Headlines, hero copy, CTAs, value propositions and section copy that sound like a person making a specific claim rather than a template being filled in.
data-visualization-specialist
Use when a chart misleads or confuses. Wrong chart type for the data, a truncated axis, colour that encodes nothing, unreadable labels on mobile, or charts no screen reader can use.