AC skill-creator
Create, edit, improve, or audit AgentSkills. Use when creating a new skill from scratch, restructuring an existing skill, auditing skill quality, or making a skill easier for weaker AI models and agent runtimes to follow.
As a process C 62/100 · Has gaps — weak spots: result and completion, when it triggers, consistency
How to improve
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: 17. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 62/100
- 0Result and completion. Does not say what the result is
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (skill-creator) differs from the folder (skill-creator-canonical)
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 85Steps. 92 steps, 3 vague phrases
- 100Inputs and preconditions. Inputs and preconditions are listed
- 100Failures and branches. 19 branches, has a failure section
- 100Execution cost. Instruction body is 2954 tokens
- 100Running it twice. Mutating operations check current state
- 100Progress reporting. Reports progress
- low The response is described with custom markup (19 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
- +4No input/output examples
- -33 of 7 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +3Description length 221: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 92 items
- +4Reference files are cited in the instructions (5 of 5)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.
External checks
ClawHub: clean
This skill is a coherent skill-authoring helper that edits, validates, packages, and optionally publishes skill files with no evidence of hidden data access or exfiltration.
LLM: benign (high) · VirusTotal: · 29 May 2026