BC Funai-skill
橙星梦工厂AI视频制作工具,通过对话式操作,用户可以创建项目、配置剧本、生成角色/分镜/视频、查询任务状态。当用户要求使用橙星梦工厂平台、创建 AI 漫剧项目、或通过 API 与平台交互时使用。触发词:橙星梦工厂、ai.fun.tv、漫剧制作、AI漫剧、FunAI。
As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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 · 4
✓ No critical or high findings
Medium and low: 4
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low Exfiltration
read-dotenvconfig/README.md:46Reads a .env filecp config/.env.example config/.env
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low Exfiltration
read-dotenvconfig/README.md:127Reads a .env filesource config/.env
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low Exfiltration
read-dotenvconfig/README.md:303Reads a .env filecp config/.env.example config/.env
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low Exfiltration
read-dotenvSKILL.md:56Reads a .env filecp config/.env.example config/.env
Files scanned: 22. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 51/100
- 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
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 1 mutating operations with no state check
- 100Tools and files. No external tools needed
- 100Steps. 193 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3835 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
- +1No license
- +2Single-language instructions
- +3Description length 133: enough signal without eating the budget
- +4Structure: 61 headings
- +3Step-by-step instructions: 193 items
- +4Has examples (25 code blocks)
- +4Reference files are cited in the instructions (9 of 11)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.
External checks
ClawHub: suspicious
This is a coherent FunAI video-creation skill, but it gives agents live account-changing authority and includes an automatic external update path that users should review before installing.
LLM: suspicious (high) · VirusTotal: · 29 May 2026