AC douyin-content-research-v1
当用户需要做抖音内容研究、抖音选题、热点观察、竞品内容对比、趋势判断或素材整理时使用。面向内容运营、品牌调研和创作者。支持四大能力： (1) 关键词搜索视频/图文，可按点赞数、发布时间、时长、内容类型筛选排序； (2) 实时热榜查询，获取抖音热搜词条与热度数据； (3) 博主作品抓取，按主页链接或 sec_uid 获取公开作品列表； (4) 视频评论分析，按视频链接或 aweme_id 获取评论内容与互动数据。 Use when: 用户需要搜抖音视频、查抖音热榜/热搜、抓取博主作品列表、分析视频评论区、做短视频选题/竞品分析/舆情监控/热点追踪/爆款挖掘/抖音运营数据分析。 Do NOT use when: 平台非抖音（小红书/B站/微博→对应技能）、需登录态或私密数据、仅要文案创作不需数据查询、既无关键词也无可识别链接且目标不明（先追问）。 触发词：抖音搜索、抖音热榜、抖音评论、抖音博主、抖音竞品分析、短视频选题、抖音舆情、抖音数据分析、douyin search、douyin analytics。
当用户需要做抖音内容研究、抖音选题、热点观察、竞品内容对比、趋势判断或素材整理时使用。面向内容运营、品牌调研和创作者。支持四大能力： (1) 关键词搜索视频/图文，可按点赞数、发布时间、时长、内容类型筛选排序； (2) 实时热榜查询，获取抖音热搜词条与热度数据； (3) 博主作品抓取，按主页链接或 secuid…
As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
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: 35. 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 57/100
- 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
- 50When it triggers. No condition that starts the skill
- 100Tools and files. No external tools needed
- 100Steps. 53 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1109 tokens
- 100Running it twice. No mutating operations
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
- +3Output format is not stated: the model decides each time
- -221 emoji in the instructions: noise for the model
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 457: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 53 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (1 of 2)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.