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 digital-stoic-org/agent-skills --skill test-skillgit clone --depth 1 https://github.com/digital-stoic-org/agent-skillsWrote 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/digital-stoic-org/agent-skills/test-skill)<a href="https://agentmods.dev/skills/digital-stoic-org/agent-skills/test-skill"><img src="https://agentmods.dev/badge/skills/digital-stoic-org/agent-skills/test-skill/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/digital-stoic-org/agent-skills/test-skill"><img src="https://agentmods.dev/badge/skills/digital-stoic-org/agent-skills/test-skill.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 | $0.00044 | $0.00580 |
| Opus 5.5 | $0.00018 | $0.00232 |
| Sonnet 5.5 | $0.00009 | $0.00116 |
| Haiku 4.5 | $0.00004 | $0.00058 |
Grade A, and why
test-skill 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 1mo 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
Test Skill
Scaffold + run behavioral tests for a skill in the Docker test harness.
⚠️ AskUserQuestion Guard
CRITICAL: After EVERY AskUserQuestion call, check if answers are empty/blank. Known Claude Code bug: outside Plan Mode, AskUserQuestion silently returns empty answers without showing UI.
If answers are empty: DO NOT proceed with assumptions. Instead:
- Output: "⚠️ Questions didn't display (known Claude Code bug outside Plan Mode)."
- Present the options as a numbered text list and ask user to reply with their choice number.
- WAIT for user reply before continuing.
Arguments
From $ARGUMENTS: skill_name (positional, kebab-case), --run-only, --scaffold-only.
Derive: snake_name = - → _, test_file = test/tests/test_{snake_name}.py, golden_file = test/fixtures/golden/{skill_name}-smoke.md.
Steps
1. Validate — dstoic/skills/{skill_name}/SKILL.md must exist. Error if not.
2. Scaffold test (skip if --run-only) — If test_file exists → skip to 4. Otherwise AskUserQuestion:
- "What scenario should the smoke test cover?" (header: Scenario)
- "What YES/NO question should the LLM judge answer?" (header: Judge Q)
Generate test_file from template in reference.md. Derive prompt from scenario.
3. Scaffold golden (skip if --run-only) — If golden_file exists → skip. Read source SKILL.md → generate simplified version: frontmatter (name+description) + minimal body. Under 250 tokens.
4. Run (skip if --scaffold-only)
docker compose -f test/docker-compose.test.yml run --rm skill-tester pytest tests/test_{snake_name}.py -v -s
5. Report — Parse test/output/{snake_name}_smoke.yaml: status, judge verdict/reason, cost USD. Also show latest trace file test/output/{snake_name}_smoke_trace_*.yaml.
What ships with it
1 file 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.
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.
- 1mo ago First seen · 47 lines · 44 tokens per session scan A fe8fe9c54e36
test-skill is a skill published in the GitHub repository digital-stoic-org/agent-skills (20 stars, last pushed 12d ago), licensed MIT. It adds 44 tokens to every session and 580 once invoked, about $0.0002 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 2026-09-04.
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tika-eval-compare
Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".
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jetson-validate-image
Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.
atmos-validation
Validate Atmos projects, components, arbitrary JSON Schema inputs, EditorConfig, and GitHub Actions; use affected-file selection and native CI annotations.