Token导航 LogoToken导航TokenDH.com
研究检索需要联网clawhub未标认证来源可访问clear审计通过

context-builder上下文构建器

Agent Skill

context-builder 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

25,459

周安装

1,040

GitHub Stars

公开资料未说明

下载量

8,154
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:context-builder(上下文构建器)
来源仓库:https://github.com/igorls/context-builder
安装命令:
openclaw skills install context-builder
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 context-builder

简介

context-builder 使用 CLI 从任何目录生成 LLM 优化的代码库上下文。

  • 适合开发人员为特定项目准备精准的知识注入材料。
  • 智能排除二进制文件与测试用例,聚焦核心逻辑与接口定义。
  • 输出格式支持 Markdown 与 JSON,便于嵌入 prompt 或直接导入向量库。
  • 大代码库建议分模块生成,避免单次上下文超长导致 token 超限。

SKILL.md

name
context-builder
description
Generate LLM-optimized codebase context from any directory using context-builder CLI
homepage
https://github.com/igorls/context-builder
version
0.8.3
requires

Context Builder — Agentic Skill

Generate a single, structured markdown file from any codebase directory. The output is optimized for LLM consumption with relevance-based file ordering, AST-aware code signatures, automatic token budgeting, and smart defaults.

Installation

# Requires Rust toolchain. Builds from source with cryptographic verification via crates.io.
cargo install context-builder --features tree-sitter-all

Pre-built binaries with SHA256 checksums are also available for manual download from GitHub Releases.

Verify: context-builder --version (expected: 0.8.3)

Security & Path Scoping

IMPORTANT: This tool reads file contents from the specified directory. Agents MUST follow these rules:
  • Only target explicit project directories — always pass the exact project root (e.g., /home/user/projects/myapp). Never point at home directories, system paths, or credential stores (~/.ssh, ~/.aws, /etc, ~, /)
  • Use scoped filters — use -f to limit to known source extensions (e.g., -f rs,toml,md), reducing exposure surface
  • Output to project-local paths — write output to the project's docs/ folder or /tmp/, never to shared or public locations
  • Review before sharing — the output may contain API keys, secrets, or credentials embedded in source files; always review or use .gitignore patterns to exclude sensitive files

Built-in protections (always active, no configuration needed):

  • Excludes .git/, node_modules/, and 19 other heavy/sensitive directories at any depth
  • Respects .gitignore rules when a .git directory is present
  • Binary files are auto-detected and skipped via UTF-8 sniffing
  • Output file and cache directory are auto-excluded to prevent self-ingestion

When to Use

  • Deep code review — Feed an entire codebase to an LLM for architecture analysis or bug hunting
  • Onboarding — Generate a project snapshot for understanding unfamiliar codebases
  • Diff-based updates — After code changes, generate only the diffs to update an LLM's understanding
  • AST signatures — Extract function/class signatures for token-efficient structural understanding
  • Cross-project research — Quickly package a dependency's source for analysis

Core Workflow

1. Quick Context (whole project)

context-builder -d /path/to/project -y -o context.md
  • -y skips confirmation prompts (recommended for agent workflows when path is explicitly scoped)
  • Output includes: header → file tree → files sorted by relevance (config → source → tests → docs)

2. Scoped Context (specific file types)

context-builder -d /path/to/project -f rs,toml -i docs,assets -y -o context.md
  • -f rs,toml includes only Rust and TOML files
  • -i docs,assets excludes directories by name

3. AST Signatures Mode (minimal tokens)

context-builder -d /path/to/project --signatures -f rs,ts,py -y -o signatures.md
  • Replaces full file content with extracted function/class signatures (~4K vs ~15K tokens per file)
  • Supports 8 languages: Rust, JavaScript (.js/.jsx), TypeScript (.ts/.tsx), Python, Go, Java, C, C++
  • Requires --features tree-sitter-all at install time

4. Signatures with Structural Summary

context-builder -d /path/to/project --signatures --structure -y -o context.md
  • --structure appends a count summary (e.g., "6 functions, 2 structs, 1 impl block")
  • Combine with --visibility public to show only public API surface

5. Budget-Constrained Context

context-builder -d /path/to/project --max-tokens 100000 -y -o context.md
  • Caps output to ~100K tokens (estimated)
  • Files are included in relevance order until budget is exhausted
  • Automatically warns if output exceeds 128K tokens

6. Token Count Preview

context-builder -d /path/to/project --token-count
  • Prints estimated token count without generating output
  • Use this first to decide if filtering or --signatures is needed

7. Incremental Diffs

First, ensure context-builder.toml exists with:

timestamped_output = true
auto_diff = true

Then run twice:

# First run: baseline snapshot
context-builder -d /path/to/project -y

# After code changes: generates diff annotations
context-builder -d /path/to/project -y

For minimal output (diffs only, no full file bodies):

context-builder -d /path/to/project -y --diff-only

Smart Defaults

These behaviors require no configuration:

FeatureBehavior
Auto-ignorenode_modules, dist, build, __pycache__, .venv, vendor, and 12 more heavy dirs are excluded at any depth
Self-exclusionOutput file, cache dir, and context-builder.toml are auto-excluded
.gitignoreRespected automatically when .git directory exists
Binary detectionBinary files are skipped via UTF-8 sniffing
File orderingConfig/docs first → source (entry points before helpers) → tests → build/CI → lockfiles

CLI Reference (Agent-Relevant Flags)

FlagPurposeAgent Guidance
-d <PATH>Input directoryAlways use absolute paths for reliability
-o <FILE>Output pathWrite to project docs/ or /tmp/
-f <EXT>Filter by extensionComma-separated: -f rs,toml,md
-i <NAME>Ignore dirs/filesComma-separated: -i tests,docs,assets
--max-tokens <N>Token budget capUse 100000 for most models, 200000 for Gemini
--token-countDry-run token estimateRun first to check if filtering is needed
-ySkip all promptsUse only with explicit, scoped project paths
--previewShow file tree onlyQuick exploration without generating output
--diff-onlyOutput only diffsMinimizes tokens for incremental updates
--signaturesAST signature extractionRequires tree-sitter-all feature at install
--structureStructural summaryPair with --signatures for compact output
--visibility <V>Filter by visibilityall (default), public (public API only)
--truncate <MODE>Truncation strategysmart (AST-aware) or simple
--initCreate config fileAuto-detects project file types
--clear-cacheReset diff cacheUse if diff output seems stale

Recipes

Recipe: Deep Think Code Review

Generate a scoped context file, then prompt an LLM for deep analysis:

# Step 1: Generate focused context
context-builder -d /path/to/project -f rs,toml --max-tokens 120000 -y -o docs/deep_think_context.md

# Step 2: Feed to LLM with a review prompt
# Attach docs/deep_think_context.md and ask for:
# - Architecture review
# - Bug hunting
# - Performance analysis

Recipe: API Surface Review (signatures only)

# Extract only public signatures — typically 80-90% fewer tokens than full source
context-builder -d /path/to/project --signatures --visibility public -f rs -y -o docs/api_surface.md

Recipe: Compare Two Versions

# Generate context for both versions
context-builder -d ./v1 -f py -y -o /tmp/v1_context.md
context-builder -d ./v2 -f py -y -o /tmp/v2_context.md

# Feed both to an LLM for comparative analysis

Recipe: Monorepo Slice

# Focus on a specific package within a monorepo
context-builder -d /path/to/monorepo/packages/core -f ts,tsx -i __tests__,__mocks__ -y -o core_context.md

Recipe: Quick Size Check Before Deciding Strategy

# Check if the project fits in context
context-builder -d /path/to/project --token-count

# If > 128K tokens, try signatures mode first:
context-builder -d /path/to/project --signatures --token-count

# Or scope it down:
context-builder -d /path/to/project -f rs,toml --max-tokens 100000 --token-count

Configuration File (Optional)

Create context-builder.toml in the project root for persistent settings:

output = "docs/context.md"
output_folder = "docs"
filter = ["rs", "toml"]
ignore = ["target", "benches"]
timestamped_output = true
auto_diff = true
max_tokens = 120000
signatures = true
structure = true
visibility = "public"

Initialize one automatically with context-builder --init.

Output Format

The generated markdown follows this structure:

# Directory Structure Report [metadata: project name, filters, content hash]

## File Tree [visual tree of included files]

## Files ### File: src/main.rs [code block with file contents, syntax-highlighted by extension]

### File: src/lib.rs ...

Files appear in relevance order (not alphabetical), prioritizing config and entry points so LLMs build understanding faster.

When --signatures is active, file contents are replaced with extracted signatures:

### File: src/lib.rs

    pub fn run_with_args(args: Args, config: Config, prompter: &dyn Prompter) -> Result<()>
    pub fn generate_markdown_with_diff(...) -> Result<String>

Error Handling

  • If context-builder is not installed, install with cargo install context-builder --features tree-sitter-all
  • If --signatures shows no output for a file, the language may not be supported or the feature was not enabled at install
  • If output exceeds token limits, add --max-tokens or narrow with -f / -i, or use --signatures
  • If the project has no .git directory, auto-ignores still protect against dependency flooding
  • Use --clear-cache if diff output seems stale or incorrect

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

95.15%
按下载量换算7,759

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

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

继续浏览同类 Skills