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CD byted-mediakit-voiceover-editing

Volcano Engine AI MediaKit talking-head video editing Skill: a one-stop workflow from environment setup through media management, audio processing, talking-head cuts, video export, review UI, and iterative refinement. You MUST invoke this Skill when the user mentions talking-head editing, cutting talking video, video editing, removing pauses, processing audio, exporting talking video, automatic editing, removing verbal slips, or similar. Also invoke when the user uploads video or audio and asks for editing.

ClawHub Agent Skills author: Volc-AI-MediaKit v1.0.9 MIT-0 59 files · 25 scripts body ≈ 1 772 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Volcano Engine AI MediaKit talking-head video editing Skill: a one-stop workflow from environment setup through media management, audio processing…

As a process D 39/100 · Unfinished process — References files that are not bundled: references/执行步骤/1.%20环境检查.md, references/执行步骤/2.%20语气词提示与用户行为更新.md, references/执行步骤/3.%20URL到ASR流水线与候选生成.md

GeneratorMedia and videoWriting and documentstype 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
C
83/100
safety, quality, tests
Safety 60%
95
Quality 40%
65
Run on models
none yet
Process rating
D
39/100
Unfinished process
References files that are not bundled: references/执行步骤/1.%20环境检查.md, references/执行步骤/2.%20语气词提示与用户行为更新.md, references/执行步骤/3.%20URL到ASR流水线与候选生成.md
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

What is at stake

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

Broad scope 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 skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-requests-env-secret SKILL.md:1
    Skill asks the runtime to inject credential env vars into its sandbox: ARK_SKILL_API_KEY, VOLC_ACCESS_KEY_ID, VOLC_ACCESS_KEY_SECRET, ASR_API_KEY — verify each one is needed for the stated purpose
    required_environment_variables: ARK_SKILL_API_KEY, VOLC_ACCESS_KEY_ID, VOLC_ACCESS_KEY_SECRET, ASR_API_KEY

Files scanned: 59. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/执行步骤/1.%20环境检查.md
  • warning missing-ref reference to a missing file: references/执行步骤/2.%20语气词提示与用户行为更新.md
  • warning missing-ref reference to a missing file: references/执行步骤/3.%20URL到ASR流水线与候选生成.md
  • warning missing-ref reference to a missing file: references/执行步骤/4.%20ASR语义纠错.md
  • warning missing-ref reference to a missing file: references/执行步骤/5.%20口播剪辑.md
  • warning missing-ref reference to a missing file: references/执行步骤/5.5%20审核逻辑确认.md
  • warning missing-ref reference to a missing file: references/执行步骤/6a.%20数据预处理.md
  • warning missing-ref reference to a missing file: references/执行步骤/6b.%20审核与导出.md
  • warning missing-ref reference to a missing file: references/执行步骤/6c.%20VOD导出任务提交与查询.md
  • note frontmatter-key unknown frontmatter key "display_name"
  • note frontmatter-key unknown frontmatter key "env"
  • note frontmatter-key unknown frontmatter key "permissions"
  • note frontmatter-key unknown frontmatter key "triggers"

Process rating: all ten parameters 39/100

Will not run. References files that are not bundled: references/执行步骤/1.%20环境检查.md, references/执行步骤/2.%20语气词提示与用户行为更新.md, references/执行步骤/3.%20URL到ASR流水线与候选生成.md
  • 0Tools and files. 9 referenced file(s) missing: references/执行步骤/1.%20环境检查.md, references/执行步骤/2.%20语气词提示与用户行为更新.md, references/执行步骤/3.%20URL到ASR流水线与候选生成.md
  • 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
  • 30Running it twice. 5 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 34 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1772 tokens
  • low The response is described with custom markup (4 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
  • -2localhost URLs: will not work for another user
  • -316 of 24 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 512: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 34 items
  • +4Has examples (1 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: suspicious
This video-editing skill mostly matches its stated purpose, but its local review server can expose readable local files and lets unauthenticated requests change or export projects.
LLM: suspicious (high) · VirusTotal: · 15 Sept 2026