AD review-radar
显示器评测视频情报提取。给 OpenClaw 一个 B 站/YouTube 评测视频链接，自动转写口播音频并产出结构化评测情报卡（实测数据、优缺点、博主结论、竞品提及），也可批量处理多个链接并汇总。当用户提到"总结评测视频""显示器评测报告""批量看评测""评测情报"时使用。
显示器评测视频情报提取。给 OpenClaw 一个 B 站/YouTube 评测视频链接，自动转写口播音频并产出结构化评测情报卡（实测数据、优缺点、博主结论、竞品提及），也可批量处理多个链接并汇总。当用户提到"总结评测视频""显示器评测报告""批量看评测""评测情报"时使用。
As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 41/100
- 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
- 40Consistency. Frontmatter name (review-radar) differs from the folder (review-radar-skill-3)
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 100Steps. 7 steps
- 100Execution cost. Instruction body is 213 tokens
- 100Running it twice. No mutating operations
- low The response is described with custom markup (4 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
- +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
- +5Description quotes 2 example trigger phrases
- +3Description length 138: enough signal without eating the budget
- +4Structure: 5 headings
- +3Step-by-step instructions: 7 items
- +3All 7 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.