SKILLEMALL.ai

AD video-batch-publisher

一套本地运行的短视频批量发布工具,支持抖音/视频号/快手/B站多平台,从 Excel 读取任务,自动上传视频、填标题描述、设封面/合集/标签、按发布日期选择立即或定时发布。运行全程不修改你的 Excel,发布结果实时显示在界面与日志。当用户需要批量自动发视频、多平台一键发布、自媒体矩阵发布、把 video_publisher 打包成可交付产品时启用。

ClawHub Agent Skills author: ccg825 v1.0.0 MIT-0 28 files · 1 script body ≈ 561 tokens Open the sourceclawhub.ai analyzed 3 d ago

一套本地运行的短视频批量发布工具,支持抖音/视频号/快手/B站多平台,从 Excel 读取任务,自动上传视频、填标题描述、设封面/合集/标签、按发布日期选择立即或定时发布。运行全程不修改你的 Excel,发布结果实时显示在界面与日志。当用户需要批量自动发视频、多平台一键发布、自媒体矩阵发布、把…

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureMedia and videoData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
D
43/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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: 28. 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")
  • note frontmatter-key unknown frontmatter key "display_name"

Process rating: all ten parameters 43/100

  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 26 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 561 tokens

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 176: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 26 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: suspicious
This skill is a real local batch video publishing tool, but it needs Review because it can post publicly using saved browser sessions and includes anti-detection automation patterns.
LLM: suspicious (high) · 25 Aug 2026