AC photo-to-disco-elysium
将用户上传的人像或环境照片重构为受《极乐迪斯科》启发的心理绘画与环境概念作品；首轮说明适配性并等待确认。人像默认使用激进概念肖像，可选温和角色肖像；环境保留地点锚点并进行作者化重构。 / Reconstruct user portraits and environments as Disco Elysium-inspired psychological paintings and concept artwork; explain source fit first, use conceptual portraits by default, and preserve essential place anchors while radically redesigning the rendering.
将用户上传的人像或环境照片重构为受《极乐迪斯科》启发的心理绘画与环境概念作品；首轮说明适配性并等待确认。人像默认使用激进概念肖像，可选温和角色肖像；环境保留地点锚点并进行作者化重构。 / Reconstruct user portraits and environments as Disco…
As a process C 54/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 12. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 54/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 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
- 60Failures and branches. 2 branches
- 85Steps. 38 steps, 1 vague phrases
- 100Tools and files. No external tools needed
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3541 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 351: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 38 items
- +4Reference files are cited in the instructions (8 of 8)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.