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.
Meta-skill for building and publishing agent skills on ClawHub.
As a process F 32/100 · 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 - note
edit-residuethe text marks something as outdated (lines 449): check that old rules are not kept next to new ones — the full check reads the text for contradictions
Process rating: all ten parameters 32/100
- 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
- 0Failures and branches. Linear process with no failure handling
- 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
- 70Execution cost. Instruction body is 4388 tokens
- 85Steps. 34 steps, 1 vague phrases
- 100Consistency. Name and required fields are in place
- 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.