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Context Pruner
作者
balkanblbn
· GitHub ↗
· v1.0.0
553
总下载
0
收藏
2
当前安装
1
版本数
在 OpenClaw 中安装
/install context-pruner
功能描述
Intelligent context window management by summarizing and removing redundant history. Helps agents maintain high performance in long-running threads.
使用说明 (SKILL.md)
Context Pruner
Save tokens and keep focus sharp. This skill manages the "bloat" of long sessions.
Pruning Protocol
- Noise Detection: Filter "Acknowledge" messages and filler words.
- Fact Distillation: Extract raw info and discard the conversational fluff.
- Chunking: Break long transcripts into searchable summaries.
Installation
clawhub install context-pruner
安全使用建议
This skill appears internally consistent with its stated goal and requests no credentials, but it is minimal and undocumented (no source or homepage). Before installing: 1) Ask the provider how it decides what to delete vs summarize and whether actions are reversible (retain backups). 2) Test on non-sensitive conversations first. 3) Verify what 'clawhub install' would do in your environment. 4) If you need stronger assurances, request source code or documentation from the publisher so you can confirm it doesn't transmit or permanently erase data you care about.
功能分析
Type: OpenClaw Skill
Name: context-pruner
Version: 1.0.0
The skill bundle contains only metadata (`_meta.json`) and a `SKILL.md` file. The `SKILL.md` describes a legitimate context management function for an AI agent, detailing steps like noise detection, fact distillation, and chunking. The installation instructions use the standard `clawhub install` command for the skill itself. There is no executable code, no evidence of prompt injection attempts to subvert the agent, and no indicators of malicious activities such as data exfiltration, unauthorized execution, or persistence mechanisms.
能力评估
Purpose & Capability
Name and description match the instructions: pruning, summarizing, and chunking conversational history. There are no unexpected required binaries, env vars, or config paths that would be incoherent with a context-management skill.
Instruction Scope
SKILL.md contains only high-level pruning steps (noise detection, fact distillation, chunking) and does not instruct reading unrelated files, network exfiltration, or credential access. However the instructions are vague about what gets deleted versus summarized and what heuristics are used, giving the skill broad discretion if implemented by an agent.
Install Mechanism
This is an instruction-only skill with no install spec or code files, so nothing will be written to disk by the skill itself. The README mentions a 'clawhub install' command but no install spec is present—this is a minor documentation incongruence rather than an evidence of risky installation behavior.
Credentials
The skill requests no environment variables, credentials, or config paths. There is no disproportionate access requested for unrelated services.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent system-wide changes or access to other skills' configs. Autonomous model invocation is allowed by default on the platform but that is not a red flag on its own here.
如何使用
- 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-pruner - 安装完成后,直接呼叫该 Skill 的名称或使用
/context-pruner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
版本历史
v1.0.0
Initial release
元数据
常见问题
Context Pruner 是什么?
Intelligent context window management by summarizing and removing redundant history. Helps agents maintain high performance in long-running threads. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 553 次。
如何安装 Context Pruner?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install context-pruner」即可一键安装,无需额外配置。
Context Pruner 是免费的吗?
是的,Context Pruner 完全免费(开源免费),可自由下载、安装和使用。
Context Pruner 支持哪些平台?
Context Pruner 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 Pruner?
由 balkanblbn(@balkanblbn)开发并维护,当前版本 v1.0.0。
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