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AC seedance-prompt-builder

builds, rewrites, audits, and troubleshoots prompts for doubao seedance 2.0 video generation. use for text to video, image referenced video, video reference, audio reference, video editing, video extension, track completion, storyboard prompts, prompt diagnosis, multimodal asset planning, subject anchoring, camera motion control, style constraints, subtitles or speech prompts, and common seedance failure fixes such as id drift, twins, watermark, subtitles, style drift, extension jumps, audio voice mismatch, and pronunciation issues.

ClawHub Agent Skills author: JuneLiu v1.0.0 MIT-0 9 files body ≈ 1 075 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 59/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

AnalyzerMedia and videoAI 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
A
93/100
safety, quality, tests
Safety 60%
96
Quality 40%
88
Run on models
none yet
Process rating
C
59/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
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 · 4

    ✓ No critical or high findings

    Medium and low: 4
    • low Secrets in code secret-high-entropy-token references/official-guide.md:61
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      <img src="data:image/svg+xml;base64,PHN2…zVw
      quoted
    • low Secrets in code secret-high-entropy-token references/official-guide.md:66
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      <img src="data:image/svg+xml;base64,PHN2…zVw
      quoted
    • low Secrets in code secret-high-entropy-token references/official-guide.md:71
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      <img src="data:image/svg+xml;base64,PHN2…zVw
      quoted
    • low Secrets in code secret-high-entropy-token references/official-guide.md:76
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      <img src="data:image/svg+xml;base64,PHN2…zVw
      quoted

    Files scanned: 9. 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 59/100

    • 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. 3 mutating operations with no state check
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 27 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1075 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)
    • -31 of 1 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 538: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 27 items
    • +3Output format is stated explicitly
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (5 of 5)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This is a Seedance prompt-writing helper with reference docs and a small local linter; no harmful behavior was found.
    LLM: benign (high) · VirusTotal: · 29 May 2026