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AC chanjing-video-compose

Use Chanjing video synthesis APIs to create digital human videos from text or audio, with optional background upload, task polling, and explicit download when the user asks to save the result locally.

ClawHub Agent Skills author: zuoyuting214 v0.4.0 MIT-0 5 files body ≈ 1 228 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 60/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, consistency

GeneratorMedia 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
A
91/100
safety, quality, tests
Safety 60%
92
Quality 40%
90
Run on models
none yet
Process rating
C
60/100
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 · 8

    ✓ No critical or high findings

    Medium and low: 8
    • low Secrets in code secret-high-entropy-token examples.md:23
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
      --person-id "C-ef…7ec" \
      fixturequoted
    • low Secrets in code secret-high-entropy-token examples.md:25
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
      --audio-man "C-0a…848" \
      fixturequoted
    • low Secrets in code secret-high-entropy-token examples.md:41
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
      --person-id "C-ef…7ec" \
      fixturequoted
    • low Secrets in code secret-high-entropy-token examples.md:43
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
      --audio-man "C-0a…848" \
      fixturequoted
    • low Secrets in code secret-high-entropy-token examples.md:66
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
      --person-id "C-ef…7ec" \
      fixturequoted
    • low Secrets in code secret-high-entropy-token SKILL.md:90
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      --person-id "C-ef…7ec" \
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:92
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      --audio-man "C-0a…848" \
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:116
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      --person-id "C-ef…7ec" \
      quoted

    Files scanned: 5. 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 60/100

    • 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
    • 30Running it twice. 8 mutating operations with no state check
    • 40Consistency. Frontmatter name (chanjing-video-compose) differs from the folder (zyt-video-compose)
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 46 steps
    • 100Execution cost. Instruction body is 1228 tokens
    • low 11 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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 200: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 46 items
    • +3Output format is stated explicitly
    • +4Has examples (3 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: clean
    This skill is a disclosed Chanjing video-generation helper that uses local Chanjing API credentials and uploads user-selected media, with no artifact-backed evidence of hidden or malicious behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026