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当用户要求通过 ai.fun.tv、Fun-GP-image2、GPT-image2、GPT、文生图、生图、海报图、公众号封面图、宣传视觉或提示词生成图片时使用本 Skill。本 Skill 指导 Agent 创建 ai.fun.tv 图片项目、提交文生图任务、轮询结果、保存图片,并管理首次鉴权 token。默认模型必须使用 Fun-GP-image2(`tencent-gpt-img-v2`),并将 `GPT`、`GPT-image2` 视为同一模型别名。

ClawHub Agent Skills author: Amireux0013 v1.0.0 MIT-0 4 files body ≈ 615 tokens Open the sourceclawhub.ai analyzed 2 d ago

当用户要求通过 ai.fun.tv、Fun-GP-image2、GPT-image2、GPT、文生图、生图、海报图、公众号封面图、宣传视觉或提示词生成图片时使用本 Skill。本 Skill 指导 Agent 创建 ai.fun.tv 图片项目、提交文生图任务、轮询结果、保存图片,并管理首次鉴权…

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
D
43/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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 · 0

✓ No critical or high findings

Files scanned: 4. 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 43/100

  • 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
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 33 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 615 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 231: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 33 items
  • +4Has examples (4 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This skill is a coherent ai.fun.tv image-generation helper, but users should understand that it sends prompts to ai.fun.tv and can save a reusable local token.
LLM: benign (medium) · VirusTotal: · 20 Jun 2026