AD memory-manager
AI 助手记忆管理系统，采用双轨存储（每日日记 + 长期记忆）、定期自动提炼、会话上下文恢复。适用于：(1) 为新 agent 配置记忆管理，(2) 设置基于心跳的定期记忆整理，(3) 创建 MEMORY.md 和日记结构，(4) 适配其他 AI 平台（WorkBuddy、Coze、Dify 等），(5) 修复 agent 记忆功能失效问题，(6) 用户询问 agent 记忆、上下文管理、"如何让 AI 记住东西"。不适用于：与记忆无关的 OpenClaw 配置问题、语义/向量搜索配置。
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.
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: 5. 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 (memory-manager) differs from the folder (xiaolongxia-memory)
- 100Tools and files. No external tools needed
- 100Steps. 13 steps
- 100Execution cost. Instruction body is 537 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 246: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 13 items
- +4Has examples (5 code blocks)
- +4Reference files are cited in the instructions (2 of 3)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.
External checks
ClawHub: clean
This is a disclosed local memory-management skill, but it will create persistent records of conversations and preferences if installed as written.
LLM: benign (high) · VirusTotal: · 29 May 2026