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CD douyin-video-search

抖音高赞视频搜索工具。支持关键词获取抖音实时高赞视频数据，助力创作者发现热门趋势、获取创作灵感。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。

ClawHub Agent Skills author: why20261 v1.3.0 MIT-0 34 files · 21 scripts body ≈ 2 043 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

抖音高赞视频搜索工具。支持关键词获取抖音实时高赞视频数据，助力创作者发现热门趋势、获取创作灵感。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 secuid 获取公开作品列表；(4)…

As a process D 35/100 · Unfinished process — References files that are not bundled: assets/*_resp.schema.json

ProcedureMedia and videoAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
C
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
D
35/100
Unfinished process
References files that are not bundled: assets/*_resp.schema.json
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • 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-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: assets/*_resp.schema.json

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: assets/*_resp.schema.json
  • 0Tools and files. 1 referenced file(s) missing: assets/*_resp.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. 46 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2043 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
  • -220 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +3Description length 194: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 46 items
  • +4Has examples (2 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: 69.

External checks

ClawHub: clean
This skill is a coherent Douyin public-data lookup tool, with disclosed third-party API use and local result logs that users should be aware of.
LLM: benign (high) · VirusTotal: · 25 Sept 2026