BC pytest-generator-pro
(no description)
Generic AI test generation produces tests that don't match your project's conventions, miss edge cases, and fail to use existing fixtures.
As a process C 53/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, running it twice
How to improve
- Add a description to the frontmatter: without it the skill never triggers.
For the model run — optional
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
description-missingSKILL.md: no `description` — the skill can never trigger - note
frontmatter-keyunknown frontmatter key "trigger_keywords" - note
frontmatter-keyunknown frontmatter key "pricing"
Process rating: all ten parameters 53/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 1 mutating operations with no state check
- 50When it triggers. States when to use, but not when not to
- 60Tools and files. Uses tools (web, python) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 85Steps. 34 steps, 1 vague phrases
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1601 tokens
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 0: 120–800 characters recommended
- +1No license
- +2Single-language instructions
- +4Structure: 16 headings
- +3Step-by-step instructions: 34 items
- +3Output format is stated explicitly
- +4Has examples (7 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 37.
External checks
ClawHub: clean
This skill is a straightforward pytest test-generation helper with no hidden execution, persistence, or data-transfer behavior in the inspected artifact.
LLM: benign (high) · VirusTotal: · 13 Aug 2026