BF fn-ime-voice-switch
macOS 上用 Hammerspoon 实现按住 Fn 切到豆包语音输入、松开切回默认输入法的自动化方案。用户说「设置 Fn 切换输入法」/「Fn 切到豆包语音」/「按 Fn 切豆包」/「macOS 输入法 Fn 自动化」/「Hammerspoon 切输入法」/`/fn-ime-voice-switch` 时触发。包含权限设置、输入法 ID 查找、微信输入法 Fn 拦截绕过、init.lua 模板。
macOS 上用 Hammerspoon 实现按住 Fn 切到豆包语音输入、松开切回默认输入法的自动化方案。用户说「设置 Fn 切换输入法」/「Fn 切到豆包语音」/「按 Fn 切豆包」/「macOS 输入法 Fn 自动化」/「Hammerspoon 切输入法」//fn-ime-voice-switch…
As a process F 35/100 · Will not run — References files that are not bundled: templates/init.lua
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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: 3. 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") - warning
missing-refreference to a missing file: templates/init.lua
Process rating: all ten parameters 35/100
- 0Tools and files. 1 referenced file(s) missing: templates/init.lua
- 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
- 100Steps. 31 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 919 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
- +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 202: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 31 items
- +4Has examples (5 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.