BD qinghu-image-upscale-detail
青虎AI 超清修复强化细节质感：采用分块放大算法对图片做超清修复与放大，完整留存原图原有细节不篡改，适配商品图、人像、景物等全品类图像优化。当用户要放大图片、图片太糊、要高清化、要补细节、印刷需要高分辨率、老图翻新时必须触发。关键词：青虎AI、超清修复、图片放大、高清化、分块放大、细节增强、商品图优化、人像、景物、印刷。
青虎AI…
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
How to improve
- 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-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown 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 1178 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 161: 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
This image-upscaling skill is purpose-aligned, but it should be reviewed because it tells agents to globally install or upgrade a mutable third-party CLI and use it with user images and a Qinghu account token.
LLM: suspicious (high) · 8 Sept 2026