As a processF35/100 · Will not run — References files that are not bundled: references/jsapigl/docs/, references/visualization/docs/, references/jsapigl/demos/
The same skill appears in 2 more places: ClawHub, ClawHub
How to improve
Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
The text references files that are not there: add them or drop the references.
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: 80. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
warningdescription-no-when description does not say WHEN to use the skill (no "use when")
warningmissing-ref reference to a missing file: references/jsapigl/docs/
warningmissing-ref reference to a missing file: references/visualization/docs/
warningmissing-ref reference to a missing file: references/jsapigl/demos/
warningmissing-ref reference to a missing file: references/visualization/demos/
warningmissing-ref reference to a missing file: references/jsapigl/docs/点标记.md
warningmissing-ref reference to a missing file: references/visualization/docs/热力图.md
Process rating: all ten parameters 35/100
Will not run. References files that are not bundled: references/jsapigl/docs/, references/visualization/docs/, references/jsapigl/demos/
0Tools and files. 6 referenced file(s) missing: references/jsapigl/docs/, references/visualization/docs/, references/jsapigl/demos/
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
20When it triggers. No condition that starts the skill
100Steps. 75 steps
100Consistency. Name and required fields are in place
100Execution cost. Instruction body is 1144 tokens
100Running it twice. No mutating operations
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 203: enough signal without eating the budget
+4Structure: 16 headings
+3Step-by-step instructions: 75 items
+4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.
External checks
ClawHub: suspicious
This Tencent Maps development skill is mostly documentation, but it also handles SMS verification, API-key provisioning, and local storage of phone numbers and keys in ways users should review before installing.