BC api-doc-builder
Generate comprehensive API documentation from code with examples, types, and OpenAPI specs
As a process C 63/100 · Has gaps — weak spots: inputs and preconditions, running it twice
IntegrationSoftware developmentWriting and documentsInfrastructuretype and topics are labelled automatically from the skill text
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 5354 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 63/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 9 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 70Execution cost. Instruction body is 5354 tokens
- 100Steps. 136 steps
- 100Consistency. Name and required fields are in place
- 100Progress reporting. Reports progress
- low 15 top-level sections: this looks like several domains in one skill
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 90: 120–800 characters recommended
- -220 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Structure: 54 headings
- +3Step-by-step instructions: 136 items
- +3Output format is stated explicitly
- +4Has examples (36 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.
External checks
ClawHub: clean
This skill is a documentation helper that reads local code the user selects and has no executable payload, hidden persistence, or credential collection.
LLM: benign (high) · VirusTotal: · 29 May 2026