BC openclaw-graduate
(no description)
As a process C 57/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches
How to improve
- Add a description to the frontmatter: without it the skill never triggers.
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: 9. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
description-missingSKILL.md: no `description` — the skill can never trigger - note
frontmatter-keyunknown frontmatter key "role" - note
frontmatter-keyunknown frontmatter key "triggers"
Process rating: all ten parameters 57/100
- 0When it triggers. No condition that starts the skill
- 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
- 30Running it twice. 2 mutating operations with no state check
- 40Consistency. Frontmatter name (openclaw-graduate) differs from the folder (botlearn-graduate)
- 100Tools and files. No external tools needed
- 100Steps. 35 steps
- 100Result and completion. Output format and completion criterion are stated
- 100Execution cost. Instruction body is 1829 tokens
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)
- +3Description length 0: 120–800 characters recommended
- +1No license
- +2Single-language instructions
- +4Structure: 16 headings
- +3Step-by-step instructions: 35 items
- +3Output format is stated explicitly
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 37.
External checks
ClawHub: suspicious
This is a coherent graduation-report skill, but it asks the agent to inspect and retain broad user history without clear opt-in or retention controls.
LLM: suspicious (high) · VirusTotal: benign · 28 May 2026