Context Crumb
/install context-crumb
ContextCrumb
Purpose
Use ContextCrumb as a cheap first pass before reading large local text files into an LLM context window. It compresses by deleting lower-value words and punctuation while keeping the remaining text in original order.
ContextCrumb is for orientation and triage. Treat compressed output as shortened context, not authoritative source text.
When To Use
Use it before reading large natural-language files:
- Documentation and Markdown
- Notes and research dumps
- Meeting transcripts
- Issue threads and long discussions
- Logs with lots of prose
- Long comments or narrative text
When Not To Use
Do not rely on compressed output for exact syntax or exact wording:
- Source code
- Config files
- Diffs and patches
- JSON, YAML, TOML, XML, or schemas
- Commands that may need to be copied exactly
- Legal, compliance, policy, or contract text
For these files, read the raw source. If a file is too large, use ContextCrumb only to find likely relevant sections, then open the raw file around those sections before editing, quoting, or copying anything.
Default Workflow
If contextcrumb is already installed, use golden mode by default:
contextcrumb load \x3Cfile>
If the CLI is not installed and this is a one-off read, run it from PyPI:
uvx --from contextcrumb contextcrumb load \x3Cfile>
If repeated local use is expected, install it once:
python -m pip install contextcrumb
Then use:
contextcrumb load \x3Cfile>
Golden mode chooses an adaptive cutoff for each file and is the preferred default because it is conservative. If the output is still too large, use a fixed keep ratio only after checking the tradeoff:
contextcrumb load \x3Cfile> --target-keep-ratio 0.75
contextcrumb load \x3Cfile> --target-keep-ratio 0.5
Avoid aggressive ratios for first-pass reading unless the user explicitly asks for heavy compression.
Validation
Check compression savings without dumping the full output:
contextcrumb inspect \x3Cfile>
Check what was removed before trusting a compressed result:
contextcrumb diff \x3Cfile>
Use JSON only when another tool needs stats:
contextcrumb load \x3Cfile> --json
Read the text field as compressed context. Use stats.token_keep_ratio, stats.word_keep, and stats.model_windows to decide whether to retry with a different setting.
Practical Rules
- Use
contextcrumb load \x3Cfile>as the default. - Use
uvx --from contextcrumb contextcrumb load \x3Cfile>for no-install one-off use. - Use installed CLI for repeated use.
- Use
inspectanddiffbefore trusting compressed text for important work. - Never edit code, copy commands, or quote exact wording based only on compressed output.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install context-crumb - 安装完成后,直接呼叫该 Skill 的名称或使用
/context-crumb触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Context Crumb 是什么?
Use when an agent needs to read, inspect, summarize, or load large local prose-heavy files cheaply before sending them into LLM context. Best for Markdown do... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 77 次。
如何安装 Context Crumb?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install context-crumb」即可一键安装,无需额外配置。
Context Crumb 是免费的吗?
是的,Context Crumb 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Context Crumb 支持哪些平台?
Context Crumb 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Context Crumb?
由 Yuchen Mao(@yuchen20)开发并维护,当前版本 v1.0.0。