SKILLEMALL.ai
GitHub ↗ RU Sign in

AD video-editor

视频剪辑技能 - 基于moviepy + ffmpeg的视频处理工具箱。功能：(1) 裁剪/合并/分割视频，(2) 添加中文文字/字幕，(3) 添加/替换背景音乐，(4) 变速/调整尺寸，(5) 提取/替换音频，(6) 纯文字讲解视频生成。Use when: (1) 需要剪辑短视频（抖音/小红书），(2) 需要给视频加文字/字幕，(3) 需要合并多段视频，(4) 需要调整视频速度/尺寸，(5) 需要为视频配背景音乐。Triggers: '剪辑视频', '视频处理', '加文字', '加字幕', '合并视频', '加背景音乐', '变速', '视频裁剪', '竖屏转换'

ClawHub Agent Skills author: ncsimok v1.0.0 MIT-0 3 files body ≈ 417 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceMedia and videoInfrastructuretype 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
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
D
49/100
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

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

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 49/100

    • 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
    • 40Consistency. Frontmatter name (video-editor) differs from the folder (doorstep-video-editor)
    • 100Tools and files. No external tools needed
    • 100Steps. 11 steps
    • 100Execution cost. Instruction body is 417 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
    • +1No license
    • +2Single-language instructions
    • +3Description length 287: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 11 items
    • +4Has examples (2 code blocks)
    • +3All 1 scripts are documented

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

    External checks

    ClawHub: clean
    This is a local video-editing skill that edits user-supplied media files and does not show hidden networking, credential access, persistence, or destructive behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026