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project-memory-ledger项目内存分类账

Agent Skill

project-memory-ledger 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,678

周安装

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下载量

1,529
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:project-memory-ledger(项目内存分类账)
来源仓库:https://github.com/zcweah1981/project-memory-ledger
安装命令:
openclaw skills install project-memory-ledger
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install project-memory-ledger

简介

提供带证据回滚机制的工程项目内存分类账,增强可追溯性。

  • 适用于延长对话周期、记录决策日志与变更历史。
  • 支持不变量维护与变更审计,降低幻觉风险。project-memory-ledger 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 安装命令为 openclaw skills install project-memory-ledger。
  • 需确认存储路径权限,防止数据丢失或篡改。

SKILL.md

name
project-memory-ledger
description
Engineering project memory ledger with evidence + rollback (Invariants, Decision Log, Change Log). Use to extend conversations over time, reduce hallucinations, avoid memory pollution, and keep systems stable by recording project rules/decisions/changes with traceability. Supports local-only mode (Markdown) and optional Drive project-doc scaffolding via gws; defaults to project-memory-ledger when no Project is specified.
metadata
openclaw
requires
bins
recommends
bins

Project Memory Ledger

Maintain a durable, low-pollution ledger split into three books:

  • Invariants: hard rules / stable facts
  • Decisions: tradeoffs and rationale
  • Changes: what changed + why + evidence + impact + rollback

Backends (configurable) — simplified semantics:

  • The ledger is always local Markdown.
  • backend only controls where the project docs/assets are scaffolded and stored.

Values:

  • local: create project directory structure locally and store docs as Markdown
  • drive: create Drive folder structure and store docs as GDoc/GSheet (requires gws auth)

Key conventions (write these into entries)

Project tagging (normalized, case-insensitive)

  • Allowed Project slugs: hunter-system | keyword-engine | common
  • shared is disabled. Cross-project relationships must be expressed via an explicit field:

- Interfaces: hunter-system ↔ keyword-engine

Default project

If append is called without --project, the script injects:

  • Project: project-memory-ledger (configurable by default_project)

Use this for improvements/bugs/requirements about this skill itself.

How to run

1) Configure (one-time)

Config path (recommended):

  • /root/.openclaw/workspace-nero/config/project_memory_ledger.json

Minimal fields:

  • backend: local | drive
  • default_project: project-memory-ledger
  • local_dir: /root/.openclaw/workspace-nero/ledgers

If backend is drive or both, also set:

  • shared_folder_id: Drive folder id for Shared/

Template:

  • references/default_config.json

2) Init (recommended)

Creates/links Drive docs (drive/both) and ensures local files exist:

python3 skills/project-memory-ledger/scripts/ledger.py init \
  --config /root/.openclaw/workspace-nero/config/project_memory_ledger.json

3) Append entries

python3 skills/project-memory-ledger/scripts/ledger.py append \
  --config /root/.openclaw/workspace-nero/config/project_memory_ledger.json \
  --doc changes \
  --project "Keyword Engine" \
  --text "- **Interfaces**: hunter-system ↔ keyword-engine\
- **Change**: ...\
- **Why**: ...\
- **Evidence**: ...\
- **Rollback**: ...\
"

Local mode writes:

  • ledgers/INVARIANTS.md
  • ledgers/DECISIONS.md
  • ledgers/CHANGES.md
  • ledgers/PROJECTS.md (when registering projects)

4) Register a project (project registry)

Use when something is worth upgrading into a maintained engineering project (creates a registry entry and records the decision). In drive/both, it also scaffolds a standard Drive folder structure by default:

python3 skills/project-memory-ledger/scripts/ledger.py register-project \
  --config /root/.openclaw/workspace-nero/config/project_memory_ledger.json \
  --name "My New Project" \
  --purpose "Why it exists + success criteria" \
  --interfaces "hunter-system ↔ keyword-engine" \
  --notes "optional"

5) Update PRD (propose-only)

Generate a PRD patch proposal (no auto-apply in v1):

python3 skills/project-memory-ledger/scripts/ledger.py update-prd \
  --config /root/.openclaw/workspace-nero/config/project_memory_ledger.json \
  --project "Keyword Engine" \
  --mode propose

This writes to local ledgers/PRD_PATCHES.md (local/both) and prints the proposal.

Drive access note (optional)

Drive mode is a pluggable backend and is optional.

Drive backend options (not hard-bound)

  • Option 1 (v1 implemented): gws CLI (must be installed + authenticated)
  • Option 2: Google API / service account (good for servers / CI)
  • Option 3: Third-party Drive tooling (user-chosen)

Recommended practice

If you don’t need humans editing the ledger, prefer local. If humans want to participate, keep the ledger local and have the agent generate Drive summaries (propose-only style).

What to record (assistant-owned scope)

  • Drive structure changes (create/move/permissions)
  • systemd service/timer changes
  • SQLite schema/dedup logic changes (with before/after stats)
  • auth/publishing reliability fixes
  • output contract changes (doc/sheet rules)

Use templates:

  • references/ledger_templates.md

适合场景

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能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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按下载量换算1,198

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权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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