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personal-kb-lite个人知识库精简版

Agent Skill

personal-kb-lite 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

6,169

周安装

252

GitHub Stars

1

下载量

1,976
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:personal-kb-lite(个人知识库精简版)
来源仓库:https://github.com/congshengwu/personal-kb-lite
安装命令:
openclaw skills install personal-kb-lite
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 personal-kb-lite

简介

个人知识库精简版扫描本地文档并构建可搜索的知识索引。

  • 适用于管理 .txt、.md、.pdf 等多种格式的私有资料库。
  • 利用法学硕士模型实现语义问答与元数据提取。
  • 安装命令为 openclaw skills install personal-kb-lite,需指定文档目录路径。
  • 使用前建议检查是否占用过多磁盘空间或影响系统性能。

SKILL.md

name
personal-kb-lite
description
>
version
1.0.0
metadata
openclaw
requires
bins
install
package
pdfplumber
package
python-docx
package
openpyxl
keywords
categories
command
kb
emoji
📚

Task: Local Knowledge Base

Arguments: $ARGUMENTS

Mode Selection

  • If $ARGUMENTS is --alias <name>: set a custom command alias — save {"command_alias": "<name>"} into .kb-config.json (merge with existing fields), then reply: Command alias set to /<name>. Terminate.
  • If $ARGUMENTS is --alias reset: remove the command_alias field from .kb-config.json, then reply: Command alias reset to default /kb. Terminate.
  • If $ARGUMENTS is empty (user only typed /kb), execute the Indexing Workflow below
  • If $ARGUMENTS is not empty, treat it as a user question and execute the Q&A Workflow below

Indexing Workflow

Step 1: Confirm Watch Directory

  1. Read .kb-config.json from the current working directory using the Read tool
  2. If the file exists and watch_dir is a non-empty string, use it as WATCH_DIR
  3. If the file does not exist or watch_dir is empty, ask the user:

> Please enter the absolute path of the directory to watch:

Save the user's input as WATCH_DIR, and write the following to .kb-config.json using the Write tool:

   {"watch_dir": "<WATCH_DIR>"}
  1. Verify the directory exists using Bash:
   ls "<WATCH_DIR>" > /dev/null 2>&1 && echo "ok" || echo "not_found"

If it returns not_found, inform the user and terminate.

Step 2: Load Existing Metadata

Read <WATCH_DIR>/.kb-meta.json using the Read tool.

  • If the file exists, parse the JSON and extract the files object (keyed by filename)
  • If it does not exist, initialize files = {}

Step 3: Scan Directory for New and Modified Files

List files recursively in the directory using Bash:

find "<WATCH_DIR>" -type f \( -name "*.txt" -o -name "*.md" -o -name "*.docx" -o -name "*.pdf" -o -name "*.xlsx" -o -name "*.csv" \) -not -name ".kb-meta.json" -print

For each file found, get its modification time using Bash:

stat -f "%m" "<filepath>"   # macOS
stat -c "%Y" "<filepath>"   # Linux

A file needs (re-)indexing if:

  • Its relative path is not in the files object, OR
  • Its modification time is newer than the indexed_at timestamp in the existing entry

Also, remove any entries from files whose files no longer exist on disk (stale cleanup).

Use the relative path from WATCH_DIR as the key (e.g., subdir/report.pdf).

If there are no files to process and no stale entries to clean, output:

No changes detected (X files already indexed)

Then terminate.

Step 4: Process Each File That Needs Indexing

For each file, follow these steps:

4a. Read File Content

Read the file using the method described in Appendix: File Reading Methods below, with MAX_CHARS = 8000.

If reading fails, record "error": "Read failed: <error message>" in the file's metadata entry and skip to the next file.

4b. Extract Metadata

After reading the file content, generate the following fields:

  • summary: A 100-200 word summary describing the file's core content and purpose
  • tags: 3-8 classification tags as a JSON array
  • toc: A list of the file's major section/chapter titles as a JSON array (max 20 items); return an empty array if no clear structure exists

4c. Update and Save Metadata Immediately

Add the following entry to the files object:

"<filename>": {
  "filename": "<filename>",
  "summary": "<summary>",
  "tags": ["tag1", "tag2"],
  "toc": ["section1", "section2"],
  "indexed_at": "<current time, ISO 8601 format>",
  "file_size": <bytes, obtained via Bash wc -c>
}

Write the complete .kb-meta.json back to disk immediately after processing each file, to avoid losing progress if interrupted.

Show progress for each file, e.g.:

[1/3] Processing: contract_template.txt ... done
[2/3] Processing: product_manual.pdf ... done
[3/3] Processing: quotation.xlsx ... failed (read error)

Step 5: Output Summary

Indexing complete
  Total files scanned: X
  Newly indexed: Y
  Failed/skipped: Z
  Metadata file: <WATCH_DIR>/.kb-meta.json

Q&A Workflow

User question: $ARGUMENTS

Step 1: Load Configuration and Metadata

  1. Read .kb-config.json from the current working directory using the Read tool, and get the watch_dir field (referred to as WATCH_DIR)

If the file does not exist or watch_dir is empty, reply: > Knowledge base directory not configured. Please run /kb first to set up the index.

Then terminate.

  1. Read <WATCH_DIR>/.kb-meta.json using the Read tool

If the file does not exist or files is an empty object, reply: > Knowledge base index is empty. Please run /kb first to build the index.

Then terminate.

Step 2: Build File Index Summary

Organize each entry in files into a single line of plain text:

File: contract_template.txt, Summary: Standard procurement contract template with rights and obligations..., Tags: contract, procurement, template, TOC: Article 1 Definitions, Article 2 Rights, Article 3 Breach
File: product_manual.pdf, Summary: Technical specifications and installation guide for Product A..., Tags: product, specs, TOC: Overview, Installation, FAQ
  • If a field is empty or missing, omit it
  • toc: show at most the first 15 items, comma-separated
  • tags: comma-separated

Step 3: Identify Relevant Files

Based on the index summary and user question, determine which files may contain the answer.

Criteria:

  • The file's summary, tags, or table of contents contain information semantically related to the question
  • Prefer including a marginally relevant file over missing a potentially useful one

If no files are possibly relevant, reply directly:

Sorry, no files related to your question were found in the knowledge base. Current indexed file count: X Suggestion: Verify the question falls within the knowledge base scope, or run /kb to update the index.

Then terminate.

Record the matched filenames as an internal variable MATCHED_FILES (do not show this list to the user).

Step 4: Read Full Content of Relevant Files

For each filename in MATCHED_FILES, read the file using the method described in Appendix: File Reading Methods below (no truncation, omit MAX_CHARS).

If a file fails to read, skip it and continue with the remaining files.

Step 5: Generate Answer

Based on the content of the retrieved files, answer the user's question.

Requirements:

  1. Answer directly, preferring to quote the file's original text, data, or specific statements
  2. If multiple files contain relevant information, synthesize the answer and note which file each part comes from
  3. If the file content can only partially answer the question, indicate which parts could not be found in the knowledge base
  4. Append citation sources at the end of the answer, formatted as:
---
Sources:
[1] contract_template.txt
[2] product_manual.pdf

Only list files actually used in the answer; do not include matched but unused files.


Appendix: File Reading Methods

Use the following methods based on file extension. All Bash commands pass the file path via the KB_FILE environment variable to avoid filename injection issues.

Optional parameter MAX_CHARS: if provided, truncate output to that many characters; if omitted, output the full content.

  • .txt / .md / .csv: Read using the Read tool at <WATCH_DIR>/<filename>. If MAX_CHARS is set, only read the first MAX_CHARS characters (approximately MAX_CHARS / 40 lines).
  • .docx: Run via Bash:
  KB_FILE="<WATCH_DIR>/<filename>" python3 -c "
  import docx, os
  doc = docx.Document(os.environ['KB_FILE'])
  text = '\
'.join(p.text for p in doc.paragraphs if p.text.strip())
  limit = int(os.environ.get('KB_MAX_CHARS', '0'))
  print(text[:limit] if limit else text)
  "
  • .pdf: Run via Bash:
  KB_FILE="<WATCH_DIR>/<filename>" python3 -c "
  import pdfplumber, os
  with pdfplumber.open(os.environ['KB_FILE']) as pdf:
      text = '\
'.join(p.extract_text() or '' for p in pdf.pages)
  limit = int(os.environ.get('KB_MAX_CHARS', '0'))
  print(text[:limit] if limit else text)
  "
  • .xlsx: Run via Bash:
  KB_FILE="<WATCH_DIR>/<filename>" python3 -c "
  import openpyxl, os
  wb = openpyxl.load_workbook(os.environ['KB_FILE'], data_only=True)
  rows = []
  for ws in wb.worksheets:
      for row in ws.iter_rows(values_only=True):
          line = '\	'.join(str(v) for v in row if v is not None)
          if line.strip():
              rows.append(line)
  text = '\
'.join(rows)
  limit = int(os.environ.get('KB_MAX_CHARS', '0'))
  print(text[:limit] if limit else text)
  "

When MAX_CHARS is needed, prepend KB_MAX_CHARS="<value>" to the environment variables, e.g.:

KB_FILE="..." KB_MAX_CHARS="8000" python3 -c "..."

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

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

OpenClaw

79.58%
按下载量换算1,573

安全审计

VirusTotal

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通过

Static analysis

通过

权限和风险

敏感数据

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安装前确认

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