SKILLEMALL.ai

BC ai-image-gen-free

AI 图像生成基础版(免费),通过执行脚本调用 ai-model Flash Image API 完成文本生成图像. 核心能力: - 文生图: 文本提示词生成图像,支持主体/场景/光线/风格/色调描述 - 多比例: 1:1、3:2、2:3、3:4、4:3、4:5、5:4、9:16、16:9、21:9 共 10 种 - 双分辨率: 标准 / 2K 适用场景: - 社交媒体头像、封面、壁纸快速生成 - 个人创作者图片原型与灵感草图 - 学习试用与轻量图像生产

ClawHub Hermes author: 天轰穿 v1.0.2 MIT-0 2 files body ≈ 2 055 tokens Open the sourceclawhub.ai analyzed 2 d ago

AI 图像生成基础版(免费),通过执行脚本调用 ai-model Flash Image API 完成文本生成图像.

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
C
53/100
Has gaps
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.
  2. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 229 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning description-no-when neither description nor a "## When to Use" section says when to use the skill
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "summary_zh"
  • note frontmatter-key unknown frontmatter key "tools"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 28 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2055 tokens
  • 100Running it twice. No mutating operations
  • low 19 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
  • +2Single-language instructions
  • +3Description length 229: enough signal without eating the budget
  • +4Structure: 51 headings
  • +3Step-by-step instructions: 28 items
  • +4Has examples (9 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: clean
This skill is a basic text-to-image generation guide that uses an API key, network access, command execution, and local image file output in ways that fit its stated purpose, though it is incomplete and should be used with path and key-handling care.
LLM: benign (medium) · VirusTotal: · 2 Aug 2026