skill-quality-auditor

skill-quality-auditor is a skill for Claude Code, Codex from pantheon-org/tekhne. It costs 195 tokens per session (1,459 once invoked), scanned A, original, MIT.

A review system for judging and improving collections of agent skills. It scores them across nine areas, checks for duplicated skills, creates improvement plans, and validates whether tests cover the expected behaviour.

In plain words
What is it for?
Use it to audit finished skills, compare several skills, generate remediation plans, detect excessive duplication, and enforce quality gates in continuous integration.
Why use it?
It helps find unclear instructions, missing safeguards, overlap, and weak testing before skills are merged or published.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to audit finished skills, compare several skills, generate remediation plans, detect excessive duplication, and enforce quality gates in continuous integration.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pantheon-org/tekhne/skill-quality-auditor
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 pantheon-org/tekhne --skill skill-quality-auditor
Clone the repo
git clone --depth 1 https://github.com/pantheon-org/tekhne

Made for: Claude Code, Codex.

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.

agentmods badge for skill-quality-auditor

README.md
[![agentmods](https://agentmods.dev/badge/skills/pantheon-org/tekhne/skill-quality-auditor/github.svg)](https://agentmods.dev/skills/pantheon-org/tekhne/skill-quality-auditor)
Your own site
<a href="https://agentmods.dev/skills/pantheon-org/tekhne/skill-quality-auditor"><img src="https://agentmods.dev/badge/skills/pantheon-org/tekhne/skill-quality-auditor/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.

agentmods 80×15 button for skill-quality-auditor

Your own site · 80×15
<a href="https://agentmods.dev/skills/pantheon-org/tekhne/skill-quality-auditor"><img src="https://agentmods.dev/badge/skills/pantheon-org/tekhne/skill-quality-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 195 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,459 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00195 $0.01459
Opus 5 $0.00097 $0.00730
Sonnet 5 $0.00039 $0.00292
Haiku 4.5 $0.00019 $0.00146

Measured 9d ago against content hash 5d2e90d0cab0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

skill-quality-auditor 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 9d 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.

skills/agentic-harness/skill-quality-auditor/SKILL.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill Quality Auditor

Navigation hub for evaluating, maintaining, and improving skill quality with 9-dimension framework scoring.

Prerequisites

This skill drives the pantheon-skill-auditor CLI and is distributed by it (pantheon-skill-auditor skill install). Every audit command below requires that binary on PATH. Confirm it is available:

pantheon-skill-auditor --version

If it is missing, build or install it first (see Quick Start). There is no self-contained fallback for these commands.

Quick Start

Build once, then audit:

Build once:

bun run build:skill-auditor

Run audits:

# Single skill
pantheon-skill-auditor evaluate <domain>/<skill-name> --json --store

# Batch with grade gate
pantheon-skill-auditor batch <skill1> <skill2> --fail-below B --store

When to Use

  • Evaluate skills before merge or publication using 9-dimension scoring
  • Generate remediation plans, detect duplication (>20% threshold), or enforce CI quality gates
  • Validate eval scenario coverage and artifact conventions

When Not to Use

  • Write the skill first — do not audit an unfinished draft
  • Avoid using this as a substitute for peer review of logic or domain accuracy

Workflow

  1. Run pantheon-skill-auditor evaluate <skill> --json --store
  2. Check artifacts and eval coverage using deterministic criteria
  3. Generate a remediation plan with T-shirt sizing and score delta estimates
  4. Run the auditor again to verify improvement; if score is below target, check remediation-plan.md and focus on the lowest-scoring dimension

Mindset

  • Use scores as directional signals, not absolute truth.
  • Apply deterministic, reproducible checks over manual review.
  • Use threshold-based evaluation rather than relative comparisons.
  • Keep audit rules strict for safety and consistency; stay flexible elsewhere.

Anti-Patterns (Summary)

  • NEVER skip baseline comparison in recurring audits — WHY: score regressions go undetected without a prior audit.json
  • NEVER ignore Knowledge Delta below 15/20 — WHY: low D1 means the skill adds no value over LLM baseline
  • NEVER apply subjective scoring — WHY: scores drift between evaluators and cannot be automated in CI
  • NEVER create kitchen-sink skills covering unrelated tasks — WHY: broad scope kills D7 and prevents correct triggering
  • NEVER use harness-specific paths in skill content — WHY: absolute paths break when installed in a different repo
  • NEVER list references without "When to Use" conditions — WHY: unconditional loading bloats context and penalises D5

Read the full file on GitHub · 132 lines

Files

What ships with it

60 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.

  1. 9d ago First seen · 132 lines · 195 tokens per session scan A 5d2e90d0cab0

Subscribe to this mod's changes

skill-quality-auditor is a skill published in the GitHub repository pantheon-org/tekhne (10 stars, last pushed yesterday), licensed MIT. It adds 195 tokens to every session and 1,459 once invoked, about $0.0010 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 2026-08-31.

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