skill-test

skill-test is a skill for Claude Code, Codex from cniska/skills. It costs 25 tokens per session (555 once invoked), scanned A, original, MIT.

A testing process for checking a changed coding skill on several genuinely different software projects before publishing it.

In plain words
What is it for?
Use it to run trial applications of a skill on two or three unlike repositories and collect reports about where users or agents get stuck.
Why use it?
It reveals instructions that seem clear on paper but cause problems in real projects with different tools, structures, and working habits.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/cniska/skills/skill-test
Any agent
npx skills add cniska/skills --skill skill-test
Clone the repo
git clone --depth 1 https://github.com/cniska/skills

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-test

README.md
[![agentmods](https://agentmods.dev/badge/skills/cniska/skills/skill-test.svg)](https://agentmods.dev/skills/cniska/skills/skill-test)
Your own site
<a href="https://agentmods.dev/skills/cniska/skills/skill-test"><img src="https://agentmods.dev/badge/skills/cniska/skills/skill-test.svg" alt="Measured on agentmods" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 555 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00025 $0.00555
Opus 5 $0.00013 $0.00278
Sonnet 5 $0.00005 $0.00111
Haiku 4.5 $0.00003 $0.00056

Measured 5d ago against content hash 2797be519bd8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skill-test 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 5d 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/skill-test/SKILL.md · 28 lines

How it starts

The opening of the file, as written. The whole thing — 28 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill test

A skill is an instruction to a model, so the only real test is running it. Reading a changed skill tells you it reads well; running it against real projects tells you whether it holds up. Dry-run the skill via subagents on real repos, collect their friction reports, and act only on findings that converge.

Diversity beats count: three repos that differ in shape (stack, release model, docs-heaviness, process discipline) expose more than ten that rhyme. A gap that only one shape can reveal — a release with no command, a project with no spec — never shows up on lookalikes.

Workflow

  1. Pick 2–3 unlike repos. Choose for difference in the dimension the skill touches — not convenience. If the change affects release handling, pick repos that release differently; if it affects doc structure, pick a docs-heavy and a docs-light one.
  2. Run in test-only mode. One subagent per repo, in parallel. Each agent reads the changed skill in full, applies it to its repo, and writes output where it can be inspected without committing — uncommitted in the working tree, or a scratch path. Never commit or push from a test run.
  3. Demand a friction report. Each agent reports: what it produced, the judgment calls the skill left it to make, where the skill's guidance was ambiguous or fought the repo's reality, and what it did differently than the skill seemed to expect. The report is the product; the output artifact is evidence.
  4. Act on convergence. The same friction from independent runs is a defect in the skill — fix it. Friction from a single run is usually a legitimate per-project judgment call — leave it; encoding a rule for it cuts against delegating judgment to the model.
  5. Fold fixes and re-verify. Apply the convergent fixes to the skill, then re-run the worst-affected repo if the fix changed behavior materially. Clean up test outputs, or hand them to the user if they turned out better than what the repos had.

Red flags

  • Shipping a materially changed skill because it reads well
  • Test repos that rhyme — same stack, same shape, same conventions
  • Encoding a rule for friction only one run hit
  • Ignoring convergent friction because each report resolved it "fine on its own"
  • Test runs that commit, push, or leave the target repos dirty without telling the user
  • Skipping the friction report and judging only the output artifact

Read the full file on GitHub · 28 lines

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. 5d ago First seen · 28 lines · 25 tokens per session scan A 2797be519bd8

Subscribe to this mod's changes

skill-test is a skill published in the GitHub repository cniska/skills (5 stars, last pushed 7d ago), licensed MIT. It adds 25 tokens to every session and 555 once invoked, about $0.0001 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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