BC douyin-search-tool
抖音作品查询工具。根据关键词搜索抖音热门爆款作品，搜索抖音综合排序作品，获取抖音最新发布作品，支持按日期范围筛选，支持视频时长筛选，最大支持1次返回10000条搜索结果。当用户查找抖音热门内容、搜索抖音爆款视频或图文、搜索抖音最新发布视频或图文、查询抖音作品数据时使用。触发词：抖音作品查询、抖音爆款、抖音最新、抖音高赞、抖音热门、抖音热榜、抖音搜索、爆款视频、热门视频。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、视频时长、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。
抖音作品查询工具。根据关键词搜索抖音热门爆款作品，搜索抖音综合排序作品，获取抖音最新发布作品，支持按日期范围筛选，支持视频时长筛选，最大支持1次返回10000条搜索结果。当用户查找抖音热门内容、搜索抖音爆款视频或图文、搜索抖音最新发布视频或图文、查询抖音作品数据时使用。触发词：抖音作品查询、抖音爆款、抖音最新、抖音高…
As a process C 53/100 · Has gaps — 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: 35. 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 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 53 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1132 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -221 emoji in the instructions: noise for the model
- +2Single-language instructions
- +3Description length 332: 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: 75.