AB analytics-tracking-automation
Use when you need GA4 + GTM tracking delivery from site discovery through publish, or when the right phase entry point is still unclear.
As a process B 66/100 · Nearly there — weak spots: result and completion, consistency, running it twice
ProcedureGoogle AnalyticsData 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: 15. 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 66/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 11 mutating operations with no state check
- 40Consistency. Frontmatter name (analytics-tracking-automation) differs from the folder (event-tracking-skill)
- 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 100Steps. 69 steps
- 100Inputs and preconditions. Inputs and preconditions are listed
- 100Failures and branches. 9 branches, has a failure section
- 100Execution cost. Instruction body is 2154 tokens
- low The response is described with custom markup (3 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 136: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 69 items
- +4Reference files are cited in the instructions (5 of 11)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.
External checks
ClawHub: clean
This is a coherent GA4/GTM automation skill with disclosed OAuth, browser, telemetry, and publishing gates, though users should review analytics privacy choices before publishing.
LLM: benign (high) · VirusTotal: · 29 May 2026