AD image-compress
跨平台图片压缩工具，基于 sharp 实现高效压缩（节省 60-80% 体积）。支持单图/批量压缩、格式转换 (JPG/PNG/WebP/AVIF/HEIC)、画质调节、尺寸缩放。当用户需要压缩图片体积、转换格式、缩小尺寸、批量处理图片、优化图片用于微信/邮件/网页上传时使用此技能。触发词："压缩"、"缩小"、"转换格式"、"转成 JPG/WebP"、"图片太大"、"批量处理图片"。不处理：旋转、裁剪、水印、EXIF 读取等编辑操作；文件管理（删除、重命名、移动）；内容读取（分析图片、读取元数据）。
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 2
✓ No critical or high findings
Medium and low: 2
-
low Dangerous commands
cmd-pipe-to-shellscripts/detect-env.js:45Downloads and executes remote code from an unrecognised host (pipe to shell) (detector / deny-list definition; string literal in code, not executed)centos: 'curl -fsSL https://rpm.nodesource.com/setup_lts.x | sudo bash - && sudo yum install -y nodejs',
detectorcode literal -
low Dangerous commands
cmd-privilegescripts/detect-env.js:45Privilege escalation / world-writable permissions (detector / deny-list definition; string literal in code, not executed)centos: 'curl -fsSL https://rpm.nodesource.com/setup_lts.x | sudo bash - && sudo yum install -y nodejs',
detectorcode literal
Files scanned: 10. 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")
Process rating: all ten parameters 46/100
- 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
- 60Tools and files. Uses tools (node) that frontmatter does not declare
- 100Steps. 24 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1115 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -31 of 4 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +5Description quotes 2 example trigger phrases
- +3Description length 252: enough signal without eating the budget
- +4Structure: 23 headings
- +3Step-by-step instructions: 24 items
- +4Has examples (10 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.