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 opendatahub-io/ai-helpers --skill unit-test-project-conformantgit clone --depth 1 https://github.com/opendatahub-io/ai-helpersWrote 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/opendatahub-io/ai-helpers/unit-test-project-conformant)<a href="https://agentmods.dev/skills/opendatahub-io/ai-helpers/unit-test-project-conformant"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/unit-test-project-conformant/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/opendatahub-io/ai-helpers/unit-test-project-conformant"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/unit-test-project-conformant.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 | $0.00038 | $0.01036 |
| Opus 5 | $0.00019 | $0.00518 |
| Sonnet 5 | $0.00008 | $0.00207 |
| Haiku 4.5 | $0.00004 | $0.00104 |
Grade A, and why
unit-test-project-conformant 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 11d 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Unit Test (Project-Conformant) Skill
This skill ensures the agent does not invent test structure and instead learns how the project already tests similar code, then writes the new test in the same style, location, and pattern.
The goal is for the new test to be indistinguishable from existing tests.
When to Use
- Use this skill every time a unit test must be written or modified.
- Use this skill when adding coverage for new functions, classes, or behavior.
- Use this skill when refactoring code that requires corresponding test updates.
- This skill is required whenever the agent is tempted to create a “clean” or “ideal” test structure.
Instructions
Step 1 — Discover How the project Tests Similar Code
Before writing any test:
- Identify the file, function, or class to be tested.
- Search the project for tests covering:
- The same module
- The same directory
- Similar functions
- Similar classes
- Similar behavior
- Use search terms such as:
- Function name
- Class name
- Module name
- Error messages
- Public API names
You must examine at least 2–3 similar tests before proceeding.
Step 2 — Extract the Test Pattern
From the discovered tests, learn:
- Where tests are located
- File naming conventions
- Test naming conventions
- Whether tests are:
- Standalone functions
- Inside classes
- Parametrized
- Fixture-driven
- Integration-style
- Assertion style
- Mocking style
- Helper utilities used
- What is intentionally not tested
You are learning the project’s testing contract.
Step 3 — Decide Where the Test Belongs
Follow existing structure exactly:
- If similar code is tested in a shared file → add to that file
- If similar code is tested inside a class → add a method there
- If similar tests extend parametrization → extend it
- If similar behavior is only tested indirectly → do the same
Do not create a new test file unless similar tests do.
Step 4 — Match Style Exactly
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.
- 11d ago First seen · 185 lines · 38 tokens per session scan A dfc34f274791
unit-test-project-conformant is a skill published in the GitHub repository opendatahub-io/ai-helpers (37 stars, last pushed 4d ago), licensed Apache-2.0. It adds 38 tokens to every session and 1,036 once invoked, about $0.0002 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 2026-08-30.
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