AB yoooclaw-world-cup-post-match-review-scene-en
Used to generate post-match reviews of World Cup football matches, and supports standardized scene input, post-match information retrieval and fan group notification extraction. It is used when the user needs to summarize the game in one sentence, how the game was played, who played the best, the hot topic after the game, or when the user explicitly requests a full review. The final answer only presents the review content without adding additional paragraphs.
Used to generate post-match reviews of World Cup football matches, and supports standardized scene input, post-match information retrieval and fan group…
As a process B 70/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 5009 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 70/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 3 mutating operations with no state check
- 60Steps. 72 steps, 5 vague phrases
- 70When it triggers. States when to use, but not when not to
- 70Failures and branches. 9 branches
- 70Execution cost. Instruction body is 5009 tokens
- 100Tools and files. No external tools needed
- 100Result and completion. Output format and completion criterion are stated
- 100Consistency. Name and required fields are in place
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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)
- +1No license
- +2Single-language instructions
- +3Description length 463: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 72 items
- +3Output format is stated explicitly
- +4Has examples (6 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.