AC catchclaw
Search, install, and export agentars from the CatchClaw marketplace. Use when the user wants to find, install, or package agent templates.
As a process C 56/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency
TemplateAI and agentsInfrastructureCommercetype and topics are labelled automatically from the skill text
This is a copy of a skill from another catalog; the rating counts the canonical one: catchclaw (ClawHub)
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: 4. 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 56/100
- 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. 14 mutating operations with no state check
- 40Consistency. Frontmatter name (catchclaw) differs from the folder (install)
- 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
- 85Steps. 34 steps, 1 vague phrases
- 100When it triggers. States when to use and when not to
- 100Failures and branches. 7 branches, has a failure section
- 100Execution cost. Instruction body is 2074 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 10 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (18 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 138: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 34 items
- +4Has examples (6 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.
External checks
ClawHub: suspicious
CatchClaw mostly matches its stated purpose, but its packaged installer contradicts the documentation by downloading and running remote code without integrity checks.
LLM: suspicious (high) · VirusTotal: · 29 May 2026