SKILLEMALL.ai

BB exportdou

导出公开抖音视频的一级评论和可选回复到 CSV 或 Excel,查看视频信息与评论数量,预览评论用于用户反馈、舆情、选题或市场分析,并管理可恢复的异步导出任务。用户要求提取、导出、采集、下载、查看、总结或分析抖音评论、评论回复、用户反馈,或提供 Douyin 视频公开链接与分享文案时使用。

ClawHub Agent Skills author: Kenny v1.0.2 MIT-0 5 files body ≈ 1 191 tokens Open the sourceclawhub.ai analyzed 25 h ago

导出公开抖音视频的一级评论和可选回复到 CSV 或 Excel,查看视频信息与评论数量,预览评论用于用户反馈、舆情、选题或市场分析,并管理可恢复的异步导出任务。用户要求提取、导出、采集、下载、查看、总结或分析抖音评论、评论回复、用户反馈,或提供 Douyin 视频公开链接与分享文案时使用。

As a process B 74/100 · Nearly there — weak spots: result and completion, running it twice, progress reporting

ProcedureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
B
74/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
Running it twice w 4
30
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.
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: 0. 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")

Process rating: all ten parameters 74/100

  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 4 mutating operations with no state check
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 17 steps
  • 100When it triggers. States when to use and when not to
  • 100Inputs and preconditions. Inputs and preconditions are listed
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1191 tokens
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (6 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

  • +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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 145: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 17 items
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This skill is a coherent helper for exporting public Douyin comments through a third-party CLI, with clear limits around public content, credentials, task handling, and local downloads.
LLM: benign (high) · VirusTotal: · 12 Aug 2026