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AC tomoviee-tail-to-video

Generate videos from first and last frame images using Tomoviee First-Last Frame API (`tm_tail2video_b`) via Wondershare OpenAPI gateway (`https://openapi.wondershare.cc`). Requires `app_key` and `app_secret`. Use when users request first-last keyframe interpolation, start-end frame animation, or two-image to 5-second video generation.

ClawHub Agent Skills author: wondershare-boop v1.0.3 MIT-0 9 files body ≈ 981 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

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
92/100
safety, quality, tests
Safety 60%
92
Quality 40%
91
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
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 references/video_apis.md:58
      High-entropy token-like string (may be an id, hash or a credential)
      from scri…ent import Tomo…ent
    • low Secrets in code secret-high-entropy-token references/video_apis.md:60
      High-entropy token-like string (may be an id, hash or a credential)
      client = Tomo…ent("app_key", "app_secret")
    • low Secrets in code secret-password-literal scripts/generate_auth_token.py:28
      Hard-coded password / key literal (may be an example)
      access_token = base…ode(credentials.encode()).decode()
    • low Secrets in code secret-high-entropy-token scripts/tomoviee_firstlast2video_client.py:12
      High-entropy token-like string (may be an id, hash or a credential)
      class Tomo…nt:
    • low Secrets in code secret-high-entropy-token scripts/tomoviee_firstlast2video_client.py:144
      High-entropy token-like string (may be an id, hash or a credential)
      TomovieeClient = Tomo…ent
    • low Secrets in code secret-high-entropy-token scripts/tomoviee_firstlast2video_client.py:166
      High-entropy token-like string (may be an id, hash or a credential)
      client = Tomo…ent(app_key, app_secret)
    • low Secrets in code secret-high-entropy-token SKILL.md:68
      High-entropy token-like string (may be an id, hash or a credential)
      from scri…ent import Tomo…ent
    • low Secrets in code secret-high-entropy-token SKILL.md:70
      High-entropy token-like string (may be an id, hash or a credential)
      client = Tomo…ent("app_key", "app_secret")

    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 51/100

    • 0Result and completion. Does not say what the result is
    • 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. 4 mutating operations with no state check
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 47 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 981 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)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 337: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 47 items
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +3All 2 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: suspicious
    The skill mostly matches its video-generation purpose, but it includes overbroad Tomoviee documentation and unsafe credential-handling examples that should be reviewed before installation.
    LLM: suspicious (medium) · VirusTotal: · 29 May 2026