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Search Analyst Pair
作者
baobaodawang-creater
· GitHub ↗
· v1.1.0
· MIT-0
175
总下载
0
收藏
0
当前安装
3
版本数
在 OpenClaw 中安装
/install search-analyst-pair
功能描述
Turn any research request into a structured, reviewable brief — fact collection, risk analysis, and recommendation in three deterministic steps.
安全使用建议
This skill appears to do what it says: coordinate a fixed Search->Analyst->Main workflow via your OpenClaw gateway. Before installing: (1) ensure OPENCLAW_TOKEN has the minimum scope needed (prefer a token limited to spawning/communicating with the specific subagents rather than a full‑admin token); (2) verify your OpenClaw agent-to-agent allowlists and tools.agentToAgent settings; (3) ask the publisher what the 'FastAPI fallback runner' entails and where it would run (there's no code in the package); (4) treat the token as sensitive—do not paste it into third‑party systems—and test in a staging environment first. If you need higher assurance, request the fallback runner code and a description of the exact API calls the skill will make so you can audit them.
功能分析
Type: OpenClaw Skill
Name: search-analyst-pair
Version: 1.1.0
The skill bundle defines a structured multi-agent workflow (/hunt) for research and analysis using a three-step chain (Search, Analyst, Main). The provided files (_meta.json, SKILL.md, README.md) contain only metadata, documentation, and high-level instructions for the OpenClaw agent; no executable code, obfuscation, or malicious prompt-injection patterns were found. The workflow relies on standard OpenClaw environment variables and pre-configured sub-agents.
能力评估
Purpose & Capability
Name/description (deterministic multi-agent research workflow) matches the declared requirements: OPENCLAW_BASE_URL and OPENCLAW_TOKEN are needed to call the OpenClaw gateway and spawn agents; curl/jq/python3 are reasonable for making and parsing HTTP calls and running an optional fallback runner.
Instruction Scope
SKILL.md confines behavior to the described Search->Analyst->Main chain and requires agent-to-agent permissions. It does not instruct reading arbitrary system files or exfiltrating data. However, it references support for a 'FastAPI fallback runner' while no code is included, and README contains a developer-local filesystem path—both are ambiguous and worth asking the author to clarify (where would fallback code run, what would it do?).
Install Mechanism
Instruction-only skill with no install spec or remote downloads; this is lowest-risk from an installation perspective because nothing is written to disk by the package itself.
Credentials
The single required credential (OPENCLAW_TOKEN) is appropriate for orchestrating agents, but that token can be high‑privilege (control over agents and actions). Confirm the token's scope/least-privilege policy before granting it to the skill.
Persistence & Privilege
always:false and normal autonomous invocation; the skill does not request permanent/platform-level presence and does not modify other skills. No elevated persistence is requested.
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 search-analyst-pair - 安装完成后，直接呼叫该 Skill 的名称或使用
/search-analyst-pair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
v1.1.0
v1.1.0: product page upgrade, added output examples and use cases
v1.0.1
Add homepage link to GitHub
v1.0.0
Initial release: deterministic /hunt 3-hop workflow
元数据
常见问题
Search Analyst Pair 是什么？
Turn any research request into a structured, reviewable brief — fact collection, risk analysis, and recommendation in three deterministic steps. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 175 次。
如何安装 Search Analyst Pair？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install search-analyst-pair」即可一键安装，无需额外配置。
Search Analyst Pair 是免费的吗？
是的，Search Analyst Pair 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Search Analyst Pair 支持哪些平台？
Search Analyst Pair 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 Search Analyst Pair？
由 baobaodawang-creater（@baobaodawang-creater）开发并维护，当前版本 v1.1.0。
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