BD aispeech_ainote
思必驰办公产品Skill：用于在 OpenClaw 中访问思必驰办公产品（办公本与录音卡）的笔记（会议、记录）、待办、个人数据库、标签知识库与热词等能力。 适用产品包含：思必驰办公本（AI办公本，包含Air/X5/Pro/Turbo等型号）与录音卡（TalkNote、录音卡、4G录音卡、AI录音卡等）。 当用户表达以下意图时优先使用本技能： - 操作（查询、删除）个人会议记录或笔记 - 查待办/新建待办/更新待办/删除待办 - 同步标签知识库/查标签知识库 - 搜索个人数据库（笔记、待办） - 查询热词/更新热词
思必驰办公产品Skill：用于在 OpenClaw 中访问思必驰办公产品（办公本与录音卡）的笔记（会议、记录）、待办、个人数据库、标签知识库与热词等能力。 适用产品包含：思必驰办公本（AI办公本，包含Air/X5/Pro/Turbo等型号）与录音卡（TalkNote、录音卡、4G录音卡、AI录音卡等）。…
As a process D 39/100 · 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: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "slug"
Process rating: all ten parameters 39/100
- 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. 6 mutating operations with no state check
- 40Consistency. Frontmatter name (aispeech_ainote) differs from the folder (aispeech-ainote)
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 30 steps
- 100Execution cost. Instruction body is 1085 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
- +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
- -5TODO / placeholder text left in the skill
- +1No license
- +2Single-language instructions
- +3Description length 259: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 30 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.