AB kpop-tracker
Track K-Pop idol updates including comebacks, albums, concerts, solo activities, merch, and official YouTube content with 3-stage search architecture (Official accounts → Media → Taiwan fans) and automatic Chinese member Weibo monitoring. Use when the user asks about idol schedules, comeback info, album details, concert dates, merchandise, collaboration goods, member solo activities, or wants to check for new updates from their followed artists. Also triggers on "追星", "回歸", "專輯", "演唱會", "周邊", "偶像動態", "idol updates", "comeback schedule", "團綜", "solo", "聯名", "巡演", "搶票".
As a process B 77/100 · Nearly there — weak spots: inputs and preconditions, running it twice
How to improve
- 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 77/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 6 mutating operations with no state check
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. No external tools needed
- 100Steps. 82 steps
- 100Failures and branches. 2 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2579 tokens
- 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
- +4Description does not say when NOT to use the skill (false activations)
- -216 emoji in the instructions: noise for the model
- -41 reference files, but SKILL.md never points to them: the model will not open them
- -32 of 2 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +5Description quotes 2 example trigger phrases
- +3Description length 574: enough signal without eating the budget
- +4Structure: 26 headings
- +3Step-by-step instructions: 82 items
- +3Output format is stated explicitly
- +4Has examples (24 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.