A framework for reviewing and improving Claude skills against quality, structure, compliance, and efficiency standards. It includes audits for complexity, token use, runtime performance, and adherence to requirements.

Use it to audit one skill or many skills, rank possible improvements, check compliance, and measure context or token usage.

Skills can become difficult to follow, unnecessarily large, inefficient, or inconsistent with their rules. Evaluation helps locate these issues and verify that improvements work.

skills-eval — Skill for Claude Code by athola/claude-night-market

Install

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.

Any agent

npx skills add athola/claude-night-market --skill skills-eval

Clone the repo

git clone --depth 1 https://github.com/athola/claude-night-market

Made for: Claude Code.

Or install abstract, the plugin that ships this one along with the rest of its 16 skills, 17 commands, 6 agents, 4 hooks.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/athola/claude-night-market/skills-eval/github.svg)](https://agentmods.dev/skills/athola/claude-night-market/skills-eval)

Your own site

<a href="https://agentmods.dev/skills/athola/claude-night-market/skills-eval"><img src="https://agentmods.dev/badge/skills/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/athola/claude-night-market/skills-eval"><img src="https://agentmods.dev/badge/skills/athola/claude-night-market/skills-eval.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,469 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00018	$0.01469
Opus 5.5	$0.00007	$0.00588
Sonnet 5.5	$0.00004	$0.00294
Haiku 4.5	$0.00002	$0.00147

Measured today against content hash 7b1afb5a43dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 today.

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.

plugins/abstract/skills/skills-eval/SKILL.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skills Evaluation and Improvement

When NOT To Use

Writing a new skill (use abstract:skill-authoring)
Evaluating hooks (use abstract:hooks-eval)
Evaluating rules (use abstract:rules-eval)

Overview

This framework audits Claude skills against quality standards to improve performance and reduce token consumption. Automated tools analyze skill structure, measure context usage, and identify specific technical improvements. Run verification commands after each audit to confirm fixes work correctly.

The scripts are in plugins/abstract/scripts/. skills_auditor.py provides structural analysis, while improvement_suggester.py builds a plan for one skill. compliance_checker.py reports standards findings. token_usage_tracker.py and tool_performance_analyzer.py measure tokens and tool run time.

Quick Start

Basic Audit

Run a full audit of all skills or target a specific file to identify structural issues.

# Audit all skills
make audit-all

# Audit specific skill
make audit-skill TARGET=path/to/skill/SKILL.md

Analysis and Optimization

Use skill_analyzer.py for complexity checks and token_estimator.py to verify the context budget.

make analyze-skill TARGET=path/to/skill/SKILL.md
make estimate-tokens TARGET=path/to/skill/SKILL.md

Improvements

Generate a prioritized plan and verify standards compliance using improvement_suggester.py and compliance_checker.py.

make improve-skill TARGET=path/to/skill/SKILL.md
make check-compliance TARGET=path/to/skill/SKILL.md

Evaluation Workflow

Start with make audit-all to inventory skills and identify high-priority targets. For each skill requiring attention, run analysis with analyze-skill to map complexity. Generate an improvement plan, apply fixes, and run check-compliance to verify the skill meets project standards. Finalize by checking the token budget for efficiency.

Evaluation and Optimization

Quality assessments use skills_auditor.py and improvement_suggester.py to generate reports. Performance analysis covers token use through token_usage_tracker.py and tool run time through tool_performance_analyzer.py. For standards compliance, compliance_checker.py reports findings and changes no files. Apply its fixes by hand.

Read the full file on GitHub · 170 lines

Files

What ships with it

14 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.

Changes

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.

today Changed · +9 lines 7b1afb5a43dd
1mo ago Changed · -8 lines 2febbc16b952
1mo ago First seen · 169 lines · 18 tokens per session scan A 0b4e4874025f

Subscribe to this mod's changes

skills-eval is a skill published in the GitHub repository athola/claude-night-market (343 stars, last pushed today), licensed MIT. It adds 18 tokens to every session and 1,469 once invoked, about $0.0001 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 2026-09-03.

Building agents Claude Code Evaluation Optimization awesome-claude-code awesome-claude-skills claude-code-plugins-marketplace improvement performance-metrics quality-assurance skill-management skills tool-use

skills-eval