AD macos-automator-services
部署和使用军舰的 macOS Automator 自动化服务集合。包含 5 个实用工作流：PDF转JPG、PNG重命名并转JPG、图像拼接、解压RAR、顺序命名图像文件。一键安装所有服务到 ~/Library/Services/ 目录。使用场景：(1) "安装我的自动化服务"，(2) "部署所有 Automator 工作流"，(3) "设置快捷操作"，(4) "批量处理图像"，(5) "解压 RAR 文件"。
As a process D 43/100 · 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.
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")
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) that frontmatter does not declare
- 100Steps. 88 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1388 tokens
- low 12 top-level sections: this looks like several domains in one skill
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 5 example trigger phrases
- +3Description length 206: enough signal without eating the budget
- +4Structure: 43 headings
- +3Step-by-step instructions: 88 items
- +4Has examples (17 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.
External checks
ClawHub: clean
This is a local macOS Automator services guide with user-directed commands, but users should inspect any workflow bundles separately because they are not included in the reviewed artifact.
LLM: benign (medium) · VirusTotal: · 29 May 2026