SKILLEMALL.ai

BD qinghu-image-deai-hd

青虎AI 图片高清写实去 AI 感:极速出图,增强画面细节、去除 AI 生成图片的油腻失真感、提升画面统一度并减少图像偏移,快速得到写实高清图像。当用户说图片有 AI 感、太油腻、不真实、要写实高清、要提升画面统一度时必须触发。关键词:青虎AI、去AI感、写实、高清、AI油腻感、失真、画面统一、图像偏移、极速出图。

ClawHub Agent Skills author: AutoAGC v0.1.5 MIT-0 2 files body ≈ 1 176 tokens Open the sourceclawhub.ai analyzed 3 d ago

青虎AI 图片高清写实去 AI 感:极速出图,增强画面细节、去除 AI 生成图片的油腻失真感、提升画面统一度并减少图像偏移,快速得到写实高清图像。当用户说图片有 AI 感、太油腻、不真实、要写实高清、要提升画面统一度时必须触发。关键词:青虎AI、去AI感、写实、高清、AI油腻感、失真、画面统一、图像偏移、极速出图。

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

ProcedureData and analyticsCommerceMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
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: 2. 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 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 (bash, node) that frontmatter does not declare
  • 100Steps. 28 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1176 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 158: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 28 items
  • +4Has examples (5 code blocks)

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

External checks

ClawHub: suspicious
The skill matches its advertised image-enhancement purpose, but it should be reviewed because it instructs agents to install and run a mutable global npm CLI that handles local images and service credentials.
LLM: suspicious (medium) · 8 Sept 2026