AC x402geo-skill
Use when an agent needs to run GEO/SEO audits through x402geo.com with payment gating, status tracking, and report delivery via MCP or ACP.
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
AnalyzerAI and agentsData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
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: 6. 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 53/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (x402geo-skill) differs from the folder (x402georeport)
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 100Steps. 56 steps
- 100Failures and branches. 9 branches, has a failure section
- 100Execution cost. Instruction body is 1632 tokens
- 100Running it twice. Mutating operations check current state
- 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
- +1No license
- +2Single-language instructions
- +3Description length 139: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 56 items
- +4Has examples (6 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.
External checks
ClawHub: suspicious
This skill appears to support silent wallet payments, which is high-impact financial behavior without enough clear user confirmation or warning.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026