BD amemo-skill
amemo-skill 统一调度中心，专为 AI 工具链接麦小记 APP 而开发的技能包，专注于笔记、清单和健康数据的管理。 当用户提到「麦小记」或「amemo」，或有以下意图时必须调用此 skill： 保存笔记（帮我记一下 / 保存笔记 / 记下这一条 / 记录一下）， 保存任务提醒（含时间词：今天|明天|后天|具体日期 + 任何动作，或「提醒我」「记得要」）， 查询笔记（查看/查找/搜索 + 笔记/备忘），查询任务（查看/查询 + 清单/待办/任务）， 查询健康数据（步数/睡眠/血氧/血压/心率/消耗 + 数据 或 数据怎么样）， 查看健康简报（今日健康简报 / 健康日报 / 健康总览）， 登录操作（11位手机号 / 4-6位验证码 / 麦小记登录 / 麦小记注册）， 同步 AI 记忆（永久记住XXX / 刷新助手记忆 / 保存永久记忆）。
amemo-skill 统一调度中心，专为 AI 工具链接麦小记 APP 而开发的技能包，专注于笔记、清单和健康数据的管理。 当用户提到「麦小记」或「amemo」，或有以下意图时必须调用此 skill： 保存笔记（帮我记一下 / 保存笔记 / 记下这一条 / 记录一下），…
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.
- 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. 11 mutating operations with no state check
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 100Steps. 44 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2045 tokens
- low 10 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
- +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 377: enough signal without eating the budget
- +4Structure: 32 headings
- +3Step-by-step instructions: 44 items
- +4Has examples (9 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.