BD note-extractor
日记洞察提取与可视化系统。从日记中提取思维卡片、情绪轨迹和成长维度，生成可交互的本地可视化页面。 **立即触发当**：用户说「分析日记」「生成洞察」「我的思考花园」「insights」「提取笔记」「/note-extractor」。 **主动建议当**：用户连续记录日记超过 7 天，或月末时主动提醒用户可以生成本月洞察。 读取 ~/write_me/00inbox/journal/ 下的日记文件，提取结构化洞察，生成本地 HTML 可视化页面。
As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
GeneratorInfrastructurePersonal productivitytype and topics are labelled automatically from the skill text
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: 6. 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 41/100
- 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
- 40Consistency. Frontmatter name (note-extractor) differs from the folder (openclaw-diary-insights)
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 103 steps
- 100Execution cost. Instruction body is 1934 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 226: enough signal without eating the budget
- +4Structure: 28 headings
- +3Step-by-step instructions: 103 items
- +4Has examples (17 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.
External checks
ClawHub: clean
This skill is a coherent local diary-insights tool, but it handles sensitive journal content and users should understand the local outputs and CDN-loaded visualization before installing.
LLM: benign (medium) · VirusTotal: · 29 May 2026