SKILLEMALL.ai

AC sg-input-skinmaker-skill

搜狗输入法「热词/热梗皮肤」生成 skill,运行于各种 AI client 应用中(如 workbuddy、Codex、Trae 等)。 当用户上传一张图片,希望「基于这张图做风格化图生图、生成一张皮肤/背景图」时使用。典型触发语:「用这张 图做一张热词皮肤」「把这张图改成 XX 风格做皮肤」「根据这张图生成搜狗输入法皮肤」。该 skill 把预设生图 规范与用户的风格描述(可选)融合后,对用户上传的图片做图生图,最后把生成的图片与「校园AI创意皮肤大赛 互动页面」一并返回给用户,由用户自行打开。

ClawHub Agent Skills author: 腾讯开源 v1.0.1 MIT-0 5 files body ≈ 672 tokens Open the sourceclawhub.ai analyzed 14 h ago

搜狗输入法「热词/热梗皮肤」生成 skill,运行于各种 AI client 应用中(如 workbuddy、Codex、Trae 等)。 当用户上传一张图片,希望「基于这张图做风格化图生图、生成一张皮肤/背景图」时使用。典型触发语:「用这张 图做一张热词皮肤」「把这张图改成 XX…

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

ProcedureAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
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.
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")

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. No external tools needed
  • 100Steps. 29 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 672 tokens
  • 100Running it twice. No mutating operations

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 252: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 29 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This Markdown-only skill is disclosed as an image-generation workflow that returns a fixed Sogou campaign link, with no evidence of code execution, persistence, credential access, or data exfiltration.
LLM: benign (high) · VirusTotal: · 15 Sept 2026