AD watermark-remover
Use this skill when the user wants to remove watermarks from images, batch-process images for watermark removal, or asks about the "布衣去水印" / "图片去水印" tool. This skill drives the GUI program (which must be already running with directory monitoring enabled) by placing input images into the watched input folder and collecting results from the output folder. Trigger on requests like "去掉这张图的水印", "批量处理这些图片去水印", "帮我跑一下去水印程序", "watermark removal", or any time uploaded images need watermarks removed via the user's local watermark-removal tool.
As a process D 45/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches
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: 5. 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 45/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (watermark-remover) differs from the folder (watermark-remover-skill)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 100Steps. 25 steps
- 100Execution cost. Instruction body is 796 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
- +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
- +5Description quotes 4 example trigger phrases
- +3Description length 539: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 25 items
- +4Has examples (5 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.