BF guaikei-douyin-content-decision-data
当用户需要抖音公开数据时使用本技能。四项能力：关键词搜索（视频/图文/用户，支持排序/时间/时长/类型筛选）、博主作品批量抓取、视频评论获取分析、实时热榜查询。用户提到抖音搜索、抖音热榜、抖音评论、博主作品、竞品分析、短视频选题、舆情监控、热点追踪时触发；做短视频调研未明确提到"抖音"时同样适用。不适用于发布/剪辑/下载视频、涨粉代运营咨询，也不覆盖其他短视频平台。
当用户需要抖音公开数据时使用本技能。四项能力：关键词搜索（视频/图文/用户，支持排序/时间/时长/类型筛选）、博主作品批量抓取、视频评论获取分析、实时热榜查询。用户提到抖音搜索、抖音热榜、抖音评论、博主作品、竞品分析、短视频选题、舆情监控、热点追踪时触发；做短视频调研未明确提到"抖音"时同样适用。不适用于发布/剪辑/…
As a process F 35/100 · Will not run — References files that are not bundled: assets/*.schema.json
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.
- 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: 34. 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") - warning
missing-refreference to a missing file: assets/*.schema.json - note
frontmatter-keyunknown frontmatter key "title"
Process rating: all ten parameters 35/100
- 0Tools and files. 1 referenced file(s) missing: assets/*.schema.json
- 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. 26 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 825 tokens
- 100Running it twice. No mutating operations
- low 11 top-level sections: this looks like several domains in one skill
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
- +2Single-language instructions
- +3Description length 184: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 26 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.