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 Morningstar202604/awesome-skillkit --skill skill-testergit clone --depth 1 https://github.com/Morningstar202604/awesome-skillkitWrote 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/morningstar202604/awesome-skillkit/skill-tester)<a href="https://agentmods.dev/skills/morningstar202604/awesome-skillkit/skill-tester"><img src="https://agentmods.dev/badge/skills/morningstar202604/awesome-skillkit/skill-tester/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/morningstar202604/awesome-skillkit/skill-tester"><img src="https://agentmods.dev/badge/skills/morningstar202604/awesome-skillkit/skill-tester.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 | $0.00094 | $0.01238 |
| Opus 5 | $0.00047 | $0.00619 |
| Sonnet 5 | $0.00019 | $0.00248 |
| Haiku 4.5 | $0.00009 | $0.00124 |
Grade A, and why
skill-tester 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 10d 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Tester
Tier: POWERFUL · Category: Engineering Quality Assurance · Dependencies: None (Python stdlib only)
Meta-skill that validates, tests, and scores skills in this repository. Four tools, run from the repo root with full paths:
scripts/skill_validator.py— structure + documentation compliancescripts/script_tester.py— Python script syntax/imports/runtime/output testingscripts/quality_scorer.py— multi-dimensional scoring with letter gradescripts/security_scorer.py— security posture scoring (also available viaquality_scorer.py --include-security)
Scope note: this skill's tier line-count minimums measure legacy skills. For authoring new skills,
engineering/write-a-skill(SKILL.md under ~100 lines, Matt Pocock doctrine) is the binding standard — do not pad a new skill to satisfy a tier minimum here.
Quick Start (exact, runnable from repo root)
# 1. Validate structure (exit non-zero on failure — usable as a gate)
python3 engineering/skills/skill-tester/scripts/skill_validator.py engineering/skills/self-eval --json
# 2. Test the skill's Python scripts (30s default timeout per script)
python3 engineering/skills/skill-tester/scripts/script_tester.py engineering/skills/self-eval --json
# 3. Score quality (fail CI below threshold with --minimum-score)
python3 engineering/skills/skill-tester/scripts/quality_scorer.py engineering/skills/self-eval --json --detailed --minimum-score 75
Consume the JSON: validator emits overall_score, compliance_level, per-check checks{}; scorer emits overall_score, letter_grade, tier_recommendation, dimensions, and an improvement_roadmap — work the roadmap top-down, then re-run until the target score is met.
For repo-wide auditing prefer scripts/audit_skills.py at the repo root (wraps the write-a-skill checklist runner across all skills).
What Each Tool Checks
skill_validator.py
- SKILL.md frontmatter parsing, required sections, minimum line counts per tier (
--tier BASIC|STANDARD|POWERFUL) - Required structure: SKILL.md, README.md, scripts/, references/, assets/, expected_outputs/
- Python scripts: argparse present, stdlib-only imports
What ships with it
16 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.
- assets/sample-skill/assets/sample_text.txt 855 B
- assets/sample-skill/assets/test_data.csv 539 B
- assets/sample-skill/expected_outputs/sample_text_analysis.json 234 B
- assets/sample-skill/README.md 976 B
- assets/sample-skill/scripts/text_processor.py 13 KB runs code
- assets/sample-skill/SKILL.md 5.7 KB
- expected_outputs/sample_validation_report.json 1.8 KB
- README.md 6.7 KB
- references/quality-scoring-rubric.md 20 KB
- references/skill-structure-specification.md 1.6 KB
- references/tier-requirements-matrix.md 1.3 KB
- scripts/quality_scorer.py 14 KB runs code
- scripts/script_tester.py 7.8 KB runs code
- scripts/security_scorer.py 14 KB runs code
- scripts/skill_validator.py 12 KB runs code
- tests/test_security_scorer.py 28 KB runs code
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.
- 10d ago First seen · 98 lines · 94 tokens per session scan A 390a8d9d2ace
skill-tester is a skill published in the GitHub repository Morningstar202604/awesome-skillkit (1 stars, last pushed today), licensed Apache-2.0. It adds 94 tokens to every session and 1,238 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 2026-08-31.
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