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AI short drama generation - account management, script writing, video production. Integrated X2C billing for commercial deployment.

ClawHub Agent Skills author: Parker v0.1.1 MIT-0 20 files · 6 scripts body ≈ 1 264 tokens Open the sourceclawhub.ai↗ analyzed 8 d ago

AI short drama generation - account management, script writing, video production.

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

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
C
83/100
safety, quality, tests
Safety 60%
90
Quality 40%
73
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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.
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 · 10

✓ No critical or high findings

Medium and low: 10
  • low Secrets in code secret-password-literal references/X2C-OPEN-API.md:372
    Hard-coded password / key literal (may be an example) (placeholder value)
    -H "X-API-Key: x2c_sk_xxxx" \
    placeholder
  • low Secrets in code secret-password-literal references/X2C-OPEN-API.md:378
    Hard-coded password / key literal (may be an example) (placeholder value)
    -H "X-API-Key: x2c_sk_xxxx" \
    placeholder
  • low Secrets in code secret-password-literal references/X2C-OPEN-API.md:384
    Hard-coded password / key literal (may be an example) (placeholder value)
    -H "X-API-Key: x2c_sk_xxxx" \
    placeholder
  • low Secrets in code secret-password-literal references/X2C-OPEN-API.md:390
    Hard-coded password / key literal (may be an example) (placeholder value)
    -H "X-API-Key: x2c_sk_xxxx" \
    placeholder
  • low Secrets in code secret-password-literal references/X2C-OPEN-API.md:396
    Hard-coded password / key literal (may be an example) (placeholder value)
    -H "X-API-Key: x2c_sk_xxxx" \
    placeholder
  • low Secrets in code secret-password-literal scripts/ad-account-manager.js:58
    Hard-coded password / key literal (may be an example)
    if (x2cD…Key) acco…Key = x2cD…Key;
  • low Secrets in code secret-password-literal scripts/ad-account-manager.js:187
    Hard-coded password / key literal (may be an example)
    const apiKey = conf…Key;
  • low Secrets in code secret-password-literal scripts/ad-account-manager.js:256
    Hard-coded password / key literal (may be an example)
    const apiKey = conf…Key;
  • low Secrets in code secret-password-literal scripts/ad-account-manager.js:373
    Hard-coded password / key literal (may be an example)
    apiKey: conf…Key || null,
  • low Exfiltration exfil-secret-in-url scripts/quality-evaluator.js:193
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    const apiUrl = `https://generativelanguage.googleapis.com/v1beta/models/gemi…ent?key=…
    placeholder

Files scanned: 20. 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")

Process rating: all ten parameters 56/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Tools and files. No external tools needed
  • 100Steps. 8 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1264 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)
  • +3Output format is not stated: the model decides each time
  • -31 of 6 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 131: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 8 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (2 of 10)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
The skill matches its AI video-generation purpose, but it needs Review because one automation script can execute shell commands through prompts and credential files are weakly scoped.
LLM: suspicious (high) · VirusTotal: · 11 Sept 2026