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BD video-monetization-pro

视频变现全流程自动化技能。从热点分析→MV 主题→歌词创作→法律审查→Suno 提示词→分镜脚本→一键发布→收益监控。专为视频创作者设计的端到端变现解决方案。

ClawHub Agent Skills author: dahuangForToby v1.0.0 MIT-0 24 files · 8 scripts body ≈ 1 652 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructureMedia and videotype 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
85/100
safety, quality, tests
Safety 60%
96
Quality 40%
69
Run on models
none yet
Process rating
D
46/100
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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Secrets in code secret-high-entropy-token README.md:40
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    export KLING_ACCESS_KEY="AYt9…GgF"
    quoted
  • low Secrets in code secret-high-entropy-token README.md:41
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    export KLING_SECRET_KEY="TFMn…ggR"
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:180
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    export KLING_ACCESS_KEY="AYt9…GgF"
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:181
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    export KLING_SECRET_KEY="TFMn…ggR"
    quoted

Files scanned: 24. 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 "homepage"

Process rating: all ten parameters 46/100

  • 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
  • 40Consistency. Frontmatter name (video-monetization-pro) differs from the folder (video-monetization-pro-84)
  • 100Tools and files. No external tools needed
  • 100Steps. 56 steps
  • 100Execution cost. Instruction body is 1652 tokens
  • low 15 top-level sections: this looks like several domains in one skill

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)
  • +3Description length 79: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -230 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 35 headings
  • +3Step-by-step instructions: 56 items
  • +4Has examples (17 code blocks)
  • +3All 7 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
The skill mostly matches a video-creation and monetization workflow, but it exposes real-looking service credentials and gives broad account-publishing and revenue-reporting instructions without clear user-control boundaries.
LLM: suspicious (high) · VirusTotal: · 29 May 2026