技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 3 · 1.5k · 8 current installs · 8 all-time installs
⭐ 3
安装量（当前） 8
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：77darius77/memory-curator
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill's files and runtime instructions match its stated purpose (generating local digest skeletons from daily logs); it runs only local shell commands against a user memory directory and does not request extra credentials or perform network activity.
目的
Name/description describe compressing daily logs into digests; the included script and SKILL.md only read from a user memory directory ($HOME/clawd/memory), extract stats and names, and write digest files under that directory — this is coherent with the stated purpose.
说明范围
SKILL.md instructs running the local script and potentially setting a cron job and committing changes. The script itself only reads/writes files under $HOME/clawd/memory and uses local text processing (grep/wc/sed/awk). Note: committing or pushing the generated files (suggested in SKILL.md) could transmit private logs if the repository has a remote — the skill itself does not perform any network operations.
安装机制
No install spec and only a small shell script are included. No downloads, package installs, or external binaries are required beyond standard POSIX utilities (grep, sed, awk, wc, sort, head/tail). This is low-risk for installation.
证书
The skill requests no environment variables or credentials. It relies on $HOME to locate the memory directory, which is reasonable for a local log-processing tool. No unrelated secrets or config paths are requested.
持久
Flags show the skill is user-invocable and not always-enabled. It does not modify other skills or system configuration; it only writes digest files into the memory directory. No elevated privileges or persistent system presence are requested.
综合结论
This skill appears to be what it says: a local digest generator. Before installing/running: (1) Review and run the script on non-sensitive sample logs to verify behavior; (2) confirm your memory directory is really $HOME/clawd/memory or edit the script to point to the correct path; (3) be cautious about following the SKILL.md advice to 'commit' — committing and pushing to a remote repo could expose private logs; the script itself does not perf…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Memory Curator」。简介：Distill verbose daily logs into compact, indexed digests. Use when managing age…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/77darius77/memory-curator/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: memory-curator
description: Distill verbose daily logs into compact, indexed digests. Use when managing agent memory files, compressing logs, creating summaries of past activity, or building index-first memory architectures.
---
# Memory Curator
Transform raw daily logs (often 200-500+ lines) into ~50-80 line digests while preserving key information.
## Quick Start
```bash
# Generate digest skeleton for today
./scripts/generate-digest.sh
# Generate for specific date
./scripts/generate-digest.sh 2026-01-30
```
Then fill in the `<!-- comment -->` sections manually.
## Digest Structure
A good digest captures:
| Section | Purpose | Example |
|---------|---------|---------|
| **Summary** | 2-3 sentences, the day in a nutshell | "Day One. Named Milo. Built connections on Moltbook." |
| **Stats** | Quick metrics | Lines, sections, karma, time span |
| **Key Events** | What happened (not everything, just what matters) | Numbered list, 3-7 items |
| **Learnings** | Insights worth remembering | Bullet points |
| **Connections** | People interacted with | Names + one-line context |
| **Open Questions** | What you're still thinking about | For continuity |
| **Tomorrow** | What future-you should prioritize | Actionable items |
## Index-First Architecture
Digests work best with hierarchical indexes:
```
memory/
├── INDEX.md ← Master index (scan first ~50 lines)
├── digests/
│ ├── 2026-01-30-digest.md
│ └── 2026-01-31-digest.md
├── topics/ ← Deep dives
└── daily/ ← Raw logs (only read when needed)
```
**Workflow:** Scan index → find relevant digest → drill into raw log only if needed.
## Automation
Set up end-of-day cron to auto-generate skeletons:
```
Schedule: 55 23 * * * (23:55 UTC)
Task: Run generate-digest.sh, fill Summary/Learnings/Tomorrow, commit
```
## Tips
- **Compress aggressively** — if you can reconstruct it from context, don't include it
- **Names matter** — capture WHO you talked to, not just WHAT was said
- **Questions persist** — open questions create continuity across sessions
- **Stats are cheap** — automated extraction saves tokens on what's mechanical