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BD fcpx-assistant

Final Cut Pro X (FCPX) 助手 — 全自动视频生产（从主题到发布）、TTS 配音、素材搜集、自动成片、调色、B-roll 插入、FCP 项目管理、剪辑辅助。触发词: FCPX, FCP, Final Cut, 做视频, 自动成片, 配音, voiceover, 素材, 导入素材, 导出, 发布视频, 调色, B-roll, 视频制作, make video, auto video, import media, export, color grade, publish

ClawHub Agent Skills author: lasbder-ops v3.0.0-beta MIT-0 33 files · 25 scripts body ≈ 1 005 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process D 40/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorMedia 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
B
84/100
safety, quality, tests
Safety 60%
93
Quality 40%
71
Run on models
none yet
Process rating
D
40/100
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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 · 3

✓ No critical or high findings

Medium and low: 3
  • medium Exfiltration net-credential-use scripts/media-collector.sh:342
    Credential used in a network call (verify the destination is the intended service)
    MUSIC_RESP=$(curl -s "https://pixabay.com/api/music/?key=…&q=…&per_page=5" 2>/dev/null || echo '{"hits":[]}')
  • low Exfiltration exfil-secret-in-url scripts/media-collector.sh:255
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    PIXABAY_URL="https://pixabay.com/api/videos/?key=…&q=${kw}&per_page=…&video_type=all"
    placeholder
  • low Exfiltration exfil-secret-in-url scripts/media-collector.sh:342
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    MUSIC_RESP=$(curl -s "https://pixabay.com/api/music/?key=…&q=…&per_page=5" 2>/dev/null || echo '{"hits":[]}')
    placeholder

Files scanned: 33. 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 40/100

  • 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. 4 mutating operations with no state check
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 75Steps. 3 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1005 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
  • -2localhost URLs: will not work for another user
  • -31 of 24 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 245: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 3 items
  • +4Has examples (15 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: suspicious
This video-production skill is mostly purpose-aligned, but it has unsafe command execution, broad automatic cleanup, and sensitive publishing credentials that users should review before installing.
LLM: suspicious (high) · VirusTotal: · 29 May 2026