AF humanize-beagle
Rewrite AI-generated developer text to sound human — fix inflated language, filler, tautological docs, and robotic tone. Use after review-ai-writing identifies issues.
As a process F 40/100 · Will not run — References files that are not bundled: ../review-ai-writing/SKILL.md, ../docs-style/SKILL.md, references/*.md
How to improve
- The text references files that are not there: add them or drop the references.
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: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: ../review-ai-writing/SKILL.md - warning
missing-refreference to a missing file: ../docs-style/SKILL.md - warning
missing-refreference to a missing file: references/*.md
Process rating: all ten parameters 40/100
Will not run. References files that are not bundled: ../review-ai-writing/SKILL.md, ../docs-style/SKILL.md, references/*.md
- 0Tools and files. 3 referenced file(s) missing: ../review-ai-writing/SKILL.md, ../docs-style/SKILL.md, references/*.md
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 27 mutating operations with no state check
- 70Failures and branches. 10 branches
- 100Steps. 77 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2783 tokens
- low The response is described with custom markup (3 tags): a typed call is more reliable
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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 167: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 77 items
- +4Has examples (17 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.
External checks
ClawHub: clean
The skills are coherent maintainer and Convex workflow helpers with powerful but disclosed actions and no evidence of hidden or malicious behavior.
LLM: benign (high) · VirusTotal: · 1 Jun 2026