BD personal-memory-system
一个自动化、双层记忆系统，用于持久化和可查询个人知识。它将用户在 MEMORY.md 中的长期记忆，自动同步到 SQLite 数据库 memory.db，实现“自然语言 → SQL 查询”的智能检索。 **使用场景**： (1) 用户需要查询“我过去对 AI 模型的看法？” (2) 用户希望系统自动记录重要决策，避免“心理笔记” (3) 需要一个可版本控制、可检索的个人知识库 **核心功能**： - 自动将 MEMORY.md 中的 ### 标题块同步到 memory.db 数据库 - 支持通过自然语言提问，系统自动执行 SQL 查询 - 与 Obsidian 和 Git 同步，实现个人知识库的完整闭环 **系统依赖**： - 必须存在 /home/awu/.openclaw/workspace-work/MEMORY.md - 必须存在 /home/awu/.openclaw/workspace-work/auto_sync_memory.py - 必须存在 /home/awu/.openclaw/workspace-work/memory.db **重要**：此技能不提供任何外部 API 调用，所有数据均存储在本地，安全可靠。
As a process D 49/100 · 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: 4. 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 49/100
- 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 (personal-memory-system) differs from the folder (personal-memory-system-published)
- 100Tools and files. No external tools needed
- 100Steps. 18 steps
- 100Execution cost. Instruction body is 326 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- -4Absolute local paths (C:\Users, /home/…): not portable
- +1No license
- +2Single-language instructions
- +5Description quotes 2 example trigger phrases
- +3Description length 523: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 18 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.