AC skill-distribution
Publish and distribute an agent skill (SKILL.md) so people can find and install it — skills.sh, ClawHub, agentskill.sh, GitHub, the Hermes hub, Claude Code plugin marketplaces and Anthropic's directory, the ChatGPT/Codex plugin directory, Gemini CLI extensions, and paid marketplaces. Use whenever the user has written a skill and asks how to share, publish, upload, list, submit, release, sell, or get installs for it, asks where skills are discovered, asks about the rules or format a registry requires, or wants to turn a skill into a plugin — even if they only name one marketplace.
Publish and distribute an agent skill (SKILL.md) so people can find and install it — skills.sh, ClawHub, agentskill.sh, GitHub, the Hermes hub, Claude Code…
As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice
How to improve
- 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: 8. 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 57/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 16 mutating operations with no state check
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 60Failures and branches. 2 branches
- 70When it triggers. States when to use, but not when not to
- 100Steps. 13 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1630 tokens
- 100Progress reporting. Reports progress
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
- +2Single-language instructions
- +3Description length 586: enough signal without eating the budget
- +4Structure: 6 headings
- +3Step-by-step instructions: 13 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (5 of 5)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.