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 pantheon-org/tekhne --skill skill-quality-auditorgit clone --depth 1 https://github.com/pantheon-org/tekhneWrote 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/pantheon-org/tekhne/skill-quality-auditor)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.00195 | $0.01459 |
| Opus 5 | $0.00097 | $0.00730 |
| Sonnet 5 | $0.00039 | $0.00292 |
| Haiku 4.5 | $0.00019 | $0.00146 |
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.
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
- Run
pantheon-skill-auditor evaluate <skill> --json --store - Check artifacts and eval coverage using deterministic criteria
- Generate a remediation plan with T-shirt sizing and score delta estimates
- Run the auditor again to verify improvement; if score is below target, check
remediation-plan.mdand 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
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.
- .audits/2026-02-21/analysis.md 8.2 KB
- .audits/2026-02-21/audit.json 149 B
- .audits/2026-02-21/remediation-plan.md 238 B
- .audits/2026-02-22/analysis.md 8.2 KB
- .audits/2026-02-22/audit.json 149 B
- .audits/2026-02-22/remediation-plan.md 238 B
- .audits/2026-02-23/analysis.md 8.2 KB
- .audits/2026-02-23/audit.json 148 B
- .audits/2026-02-23/remediation-plan.md 234 B
- .audits/2026-03-02/analysis.md 1.0 KB
- .audits/2026-03-02/audit.json 421 B
- .audits/2026-03-02/remediation-plan.md 2.0 KB
- .audits/2026-03-04/analysis.md 1.1 KB
- .audits/2026-03-04/audit.json 461 B
- .audits/2026-03-04/remediation-plan.md 2.4 KB
- .audits/2026-04-08/analysis.md 1.2 KB
- .audits/2026-04-08/audit.json 500 B
- .audits/2026-04-08/remediation-plan.md 1.7 KB
- .audits/2026-04-27/Analysis.md 492 B
- .audits/2026-04-27/audit.json 556 B
- .audits/2026-04-27/Remediation.md 1.3 KB
- .audits/latest 10 B
- .tessl-plugin/plugin.json 628 B
- AGENTS.md 11 KB
- assets/requirements/review-report.requirements.json 1.7 KB
- assets/schemas/remediation-plan.schema.json 6.3 KB
- assets/schemas/review-report.schema.json 3.7 KB
- assets/templates/remediation-plan-template.yaml 4.8 KB
- assets/templates/review-report-template.yaml 4.0 KB
- CHANGELOG.md 3.4 KB
- evals/instructions.json 3.8 KB
- evals/scenario-1/capability.txt 24 B
- evals/scenario-1/criteria.json 1.9 KB
- evals/scenario-1/task.md 1.3 KB
- evals/scenario-2/capability.txt 20 B
- evals/scenario-2/criteria.json 1.7 KB
- evals/scenario-2/task.md 1.1 KB
- evals/scenario-3/capability.txt 20 B
- evals/scenario-3/criteria.json 1.8 KB
- evals/scenario-3/task.md 897 B
- evals/scenario-4/capability.txt 26 B
- evals/scenario-4/criteria.json 1.5 KB
- evals/scenario-4/task.md 800 B
- evals/scenario-5/capability.txt 21 B
- evals/scenario-5/criteria.json 1.7 KB
- evals/scenario-5/task.md 1.1 KB
- evals/summary.json 1.1 KB
- references/advanced-custom-metrics.md 7.6 KB
- references/advanced-pattern-recognition.md 8.2 KB
- references/advanced-trends-analysis.md 7.0 KB
- references/aggregation-implementation.md 12 KB
- references/aggregation-pattern.md 13 KB
- references/detailed-anti-patterns.md 7.1 KB
- references/dimension-analysis-template.md 516 B
- references/duplication-detection-algorithm.md 4.2 KB
- references/duplication-remediation.md 5.0 KB
- references/eval-format.md 1.6 KB
- references/examples-audit-workflows.md 2.2 KB
- references/framework-dimensions.md 25 KB
- references/framework-quality-standards.md 5.6 KB
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.
- 9d ago First seen · 132 lines · 195 tokens per session scan A 5d2e90d0cab0
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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