AC secretary-memory
OpenClaw 秘书式多分区记忆系统 v3.0。仿生现代秘书的笔记本分类法，支持：(1) 多分区并发搜索 + 每分区3条上下文召回，(2) 会话自动摘要，(3) 偏好自动提取 + 用户关系图谱，(4) 记忆冲突主动检测，(5) 定时 consolidation + 会话结束 hook，(6) 精细化恢复/回溯，(7) FTS5 全文搜索 + LLM 摘要，(8) 跨会话召回，(9) 容量管理，(10) 自动 Skill 生成。触发条件：(1) 用户提及记忆管理/记忆系统/秘书式记忆，(2) 需要搜索/召回历史记忆，(3) 需要归档或整理记忆，(4) 设计新的记忆架构。
As a process C 51/100 · Has gaps — 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: 17. 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 51/100
- 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. 3 mutating operations with no state check
- 100Tools and files. No external tools needed
- 100Steps. 10 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2195 tokens
- low 11 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
- -5TODO / placeholder text left in the skill
- +1No license
- +2Single-language instructions
- +3Description length 288: enough signal without eating the budget
- +4Structure: 23 headings
- +3Step-by-step instructions: 10 items
- +4Has examples (17 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 14 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.