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腾讯云 MPS 媒体处理服务。只要用户的请求涉及音视频或图片的处理、生成、增强、用量查询、内容理解、媒体质检，必须使用此 Skill。覆盖：转码/压缩/格式转换、画质增强/老片修复/超分、字幕提取/翻译/语音识别、去字幕/擦除水印/人脸模糊、图片超分/美颜/降噪、音频分离/人声提取/伴奏提取、AI生图/生视频（含分镜）、大模型音视频理解、媒体质检、用量统计。视频增强支持专用模板（真人/漫剧/抖动优化/细节最强/人脸保真，720P至4K）。无论是视频转码、去水印、提取人声、画质修复、内容理解、质量检测，还是AI生成图片视频，都应调用此 Skill。

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 26 files body ≈ 3 525 tokens Open the sourcegithub.com↗ analyzed 2 d ago

腾讯云 MPS 媒体处理服务。只要用户的请求涉及音视频或图片的处理、生成、增强、用量查询、内容理解、媒体质检，必须使用此…

As a process F 33/100 · Will not run — References files that are not bundled: URL

ProcedureAI and agentstype 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
79/100
safety, quality, tests
Safety 60%
87
Quality 40%
68
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: URL
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. 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 · 13

✓ No critical or high findings

Medium and low: 13
  • low Secrets in code secret-high-entropy-token references/params.md:260
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    > 适用于 `ProcessMedia` 提交的任务（TaskId 格式：`1234…xxx`）
    placeholder
  • low Secrets in code secret-high-entropy-token references/scripts-detail.md:601
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    python scripts/mps_vremake.py --task-id 2600…xxx
    placeholder
  • low Secrets in code secret-high-entropy-token references/scripts-detail.md:684
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    python scripts/mps_get_video_task.py --task-id 2600…xxx
    placeholder
  • low Secrets in code secret-high-entropy-token references/scripts-detail.md:729
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    python scripts/mps_qualitycontrol.py --task-id 2600…xxx --json
    placeholder
  • low Secrets in code secret-high-entropy-token references/scripts-detail.md:834
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    python scripts/mps_get_video_task.py --task-id 2600…xxx
    placeholder
  • low Secrets in code secret-high-entropy-token scripts/mps_av_understand.py:49
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    python scripts/mps_av_understand.py --task-id 2600…xxx
    placeholder
  • low Secrets in code secret-high-entropy-token scripts/mps_get_video_task.py:1363
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    python mps_get_video_task.py --task-id 2353…48a
    quoted
  • low Secrets in code secret-high-entropy-token scripts/mps_get_video_task.py:1366
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    python mps_get_video_task.py --task-id 2353…48a --verbose
    quoted
  • low Secrets in code secret-high-entropy-token scripts/mps_get_video_task.py:1369
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    python mps_get_video_task.py --task-id 2353…48a --json
    quoted
  • low Secrets in code secret-high-entropy-token scripts/mps_qualitycontrol.py:48
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    python scripts/mps_qualitycontrol.py --task-id 2600…xxx
    placeholder
  • low Secrets in code secret-high-entropy-token scripts/mps_vremake.py:63
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    python scripts/mps_vremake.py --task-id 2600…xxx
    placeholder
  • low Secrets in code secret-high-entropy-token SKILL.md:227
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    python scripts/mps_av_understand.py --task-id 2600…xxx --json
    placeholder
  • low Secrets in code secret-high-entropy-token SKILL.md:279
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    python scripts/mps_vremake.py --task-id 2600…xxx --json
    placeholder

Files scanned: 26. 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")
  • warning missing-ref reference to a missing file: URL

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: URL
  • 0Tools and files. 1 referenced file(s) missing: URL
  • 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. 2 mutating operations with no state check
  • 100Steps. 45 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3525 tokens
  • low The response is described with custom markup (12 tags): a typed call is more reliable

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
  • -31 of 20 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 276: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 45 items
  • +4Has examples (12 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.