AF eigenskill-builder
Meta-skill for building and publishing agent skills on ClawHub. Covers skill structure, YAML frontmatter specification, references directory convention, negative boundaries, installation instructions, ClawHub CLI workflow, and quality checklist. The skill that teaches agents to build skills. Do NOT use for prompt engineering, agent memory, or orchestration — those have their own dedicated skills.
As a process F 40/100 · Will not run — References files that are not bundled: references/file.md, references/sub/file.md, scripts/validate.sh
How to improve
- The text references files that are not there: add them or drop the references.
- 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
- warning
missing-refreference to a missing file: references/file.md - warning
missing-refreference to a missing file: references/sub/file.md - warning
missing-refreference to a missing file: scripts/validate.sh
Process rating: all ten parameters 40/100
- 0Tools and files. 3 referenced file(s) missing: references/file.md, references/sub/file.md, scripts/validate.sh
- 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
- 30Running it twice. 10 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 60Failures and branches. 2 branches
- 70Execution cost. Instruction body is 4388 tokens
- 100Steps. 34 steps
- 100Consistency. Name and required fields are in place
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 12 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
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 399: enough signal without eating the budget
- +4Structure: 45 headings
- +3Step-by-step instructions: 34 items
- +4Has examples (24 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.