SKILLEMALL.ai

AF video-script-pacing-reviewer

审查视频脚本和 PPT 稿件的节奏、时长分配、画面旁白配合、信息密度、钩子过渡和平台适配。输出结构化审稿报告 + 逐段评分 + 改写建议。Use when: review video script, audit presentation pacing, check slide deck rhythm, script pacing review, 脚本审稿, 节奏审查, PPT 稿件审查. Not for: generating scripts, creating slides, video editing.

ClawHub Agent Skills author: mayf3 v1.0.0 MIT-0 6 files body ≈ 719 tokens Open the sourceclawhub.ai analyzed 36 h ago

审查视频脚本和 PPT 稿件的节奏、时长分配、画面旁白配合、信息密度、钩子过渡和平台适配。输出结构化审稿报告 + 逐段评分 + 改写建议。Use when: review video script, audit presentation pacing, check slide deck rhythm, script…

As a process F 52/100 · Will not run — References files that are not bundled: ../review-common-core/SKILL.md

AnalyzerYouTubeMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
F
52/100
Will not run
References files that are not bundled: ../review-common-core/SKILL.md
Tools and files w 18
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. 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: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../review-common-core/SKILL.md

Process rating: all ten parameters 52/100

Will not run. References files that are not bundled: ../review-common-core/SKILL.md
  • 0Tools and files. 1 referenced file(s) missing: ../review-common-core/SKILL.md
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 2 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 43 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 719 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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
  • -218 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 256: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 43 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

External checks

ClawHub: clean
This skill is a straightforward markdown-only reviewer for video script and PPT pacing, with no executable code or hidden high-impact behavior found.
LLM: benign (high) · VirusTotal: · 10 Jul 2026