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在 OpenClaw 中安装
/install skill-retrieval-gate
功能描述
Decide whether to run `memory_search` before following another skill or workflow, so the agent can reduce token usage without forcing retrieval on every task...
安全使用建议
This skill is a lightweight decision-layer that tells the agent whether to call your memory_search. It does not itself access credentials or external endpoints. Before installing, confirm your agent actually exposes a safe memory_search implementation (so queries don’t leak sensitive data to unintended sinks), and decide whether you want the agent to invoke retrieval autonomously. Also periodically review the decision rules to ensure they fit your workflows (to avoid unnecessary retrievals or skipped context).
功能分析
Type: OpenClaw Skill
Name: skill-retrieval-gate
Version: 1.0.0
The skill bundle consists entirely of Markdown-based instructions designed to help an AI agent optimize its use of a `memory_search` tool. It provides logical frameworks for decision-making, query construction, and result trimming to reduce token usage and improve context relevance. There is no executable code, no evidence of data exfiltration, and no malicious prompt injection; the instructions in SKILL.md and the references directory are strictly aligned with the stated purpose of retrieval management.
能力评估
Purpose & Capability
Name/description promise (decide whether to run memory_search) matches the included instructions and reference files. No unrelated env vars, binaries, or capabilities are requested.
Instruction Scope
SKILL.md and reference docs only provide rules for deciding when/how to call memory_search, how to build queries, trim results, and when to fall back. They do not instruct reading system files, contacting external endpoints, or exfiltrating data.
Install Mechanism
Instruction-only skill with no install spec and no code files; nothing is written to disk or downloaded.
Credentials
No environment variables, credentials, or config paths are required. The guidance assumes an existing memory_search capability but does not demand any secrets.
Persistence & Privilege
always is false and there are no indications the skill will modify other skills or agent-wide settings. Autonomous invocation is allowed (platform default) but the skill itself is low-privilege.
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 skill-retrieval-gate - 安装完成后，直接呼叫该 Skill 的名称或使用
/skill-retrieval-gate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 of skill-retrieval-gate.
- Enables intelligent decision-making on when to run `memory_search` before other skills or workflows.
- Aims to reduce unnecessary retrievals, minimizing token usage by judging real dependency on local knowledge, history, or prior decisions.
- Provides practical rules for when and how to retrieve, limiting context to top results, and emphasizing fast fallback if retrieval is weak or not needed.
- Clarifies common triggers, decision workflow, anti-patterns to avoid, and output expectations for agents.
元数据
常见问题
skill-retrieval-gate 是什么？
Decide whether to run `memory_search` before following another skill or workflow, so the agent can reduce token usage without forcing retrieval on every task... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 132 次。
如何安装 skill-retrieval-gate？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install skill-retrieval-gate」即可一键安装，无需额外配置。
skill-retrieval-gate 是免费的吗？
是的，skill-retrieval-gate 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
skill-retrieval-gate 支持哪些平台？
skill-retrieval-gate 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 skill-retrieval-gate？
由 WeiHan（@otweihan）开发并维护，当前版本 v1.0.0。
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