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BD usa-gpt-image

使用 usa0.top 的 OpenAI 兼容 GPT Images API 生成或编辑图片，支持文生图、本地或远程参考图、多图编辑和批量输出；当用户提出生图请求、首次使用、询问安装配置或缺少密钥时，检查 USA_API_KEY；如果未配置，在 Windows 上立即运行技能脚本打开本机安全输入弹窗，让用户在弹窗中输入并保存生图分组 API Key。

ClawHub Agent Skills author: tkxs v1.0.2 MIT-0 5 files body ≈ 1 670 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

使用 usa0.top 的 OpenAI 兼容 GPT Images API 生成或编辑图片，支持文生图、本地或远程参考图、多图编辑和批量输出；当用户提出生图请求、首次使用、询问安装配置或缺少密钥时，检查 USAAPIKEY；如果未配置，在 Windows…

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentstype 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
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
D
41/100
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: 5. 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")
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 41/100

  • 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
  • 40Consistency. Frontmatter name (usa-gpt-image) differs from the folder (usa-image-skill)
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 100Steps. 26 steps
  • 100Execution cost. Instruction body is 1670 tokens
  • 100Running it twice. No mutating operations
  • 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 176: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 26 items
  • +4Has examples (16 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: clean
This skill is a disclosed image-generation integration that sends prompts and optional images to usa0.top and stores an API key only when the user configures it.
LLM: benign (high) · VirusTotal: · 3 Sept 2026