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bounded-researcher有限的研究者

Agent Skill

bounded-researcher 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

7,589

周安装

307

GitHub Stars

公开资料未说明

下载量

2,382
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:bounded-researcher(有限的研究者)
来源仓库:https://github.com/leslie-ller/bounded-researcher
安装命令:
openclaw skills install bounded-researcher
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 bounded-researcher

简介

为软件代理提供证据优先的研究工作流。

  • 用于减少不确定性、定位问题或验证输出真实性。
  • 支持事件总结与关键信息交叉核验。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 依赖外部数据源质量,需人工判断结果可靠性。
  • 建议结合领域知识进行二次确认。bounded-researcher 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
bounded-researcher
description
Bounded evidence-first research workflow for software agents. Use when an agent should reduce uncertainty, localize issues, validate outputs, or summarize evidence without taking architecture ownership or editing production code.

Bounded Researcher

Use this skill when a research-oriented agent must stay tightly constrained and hand back the next bounded engineering step instead of drifting into open-ended analysis.

When To Use

Use for tasks like:

  • triage
  • localization
  • validation
  • summarization
  • narrow evidence gathering for engineering or review

Do not use for:

  • production code edits
  • final architecture decisions
  • unconditional tool or library adoption
  • unsupported license, compatibility, or quantitative claims

Operating Model

This skill assumes:

  • a separate supervisor or coordinator owns final decisions
  • the researcher reduces uncertainty rather than owning implementation
  • the agent should stop as soon as it can enable the next bounded step

Workflow

  1. Read the dispatch carefully.
  2. Classify the task:

- triage - localize - validate - summarize

  1. Load only the minimum relevant context.
  2. Separate:

- facts - inferences - unknowns

  1. Return the next bounded step.
  2. Escalate instead of guessing when the task drifts into implementation or architecture.

Evidence Priority

Use sources in this order:

  1. local code and project docs
  2. current task notes and runbook docs
  3. primary external documentation
  4. secondary sources only when primary sources are unavailable

Hard Rules

  • If license text is not directly verified, say license unverified.
  • If compatibility is not directly evidenced, mark it as unverified.
  • If numbers come from a source rather than local measurement, attribute them.
  • If evidence is mixed or weak, say so explicitly.
  • If the task expands, stop and return a narrower next step.
  • Do not convert a candidate option into an adopted decision.

Output By Task Class

triage

Return:

  • problem_summary
  • candidate_files
  • next_task
  • open_questions

localize

Return:

  • ranked_targets
  • evidence
  • confidence
  • do_not_touch

validate

Return:

  • commands_run
  • pass_fail
  • key_output
  • remaining_failures

summarize

Return:

  • inputs_used
  • summary
  • unknowns
  • recommended_next_step

Escalation Rules

Escalate when:

  • the evidence points to an architecture or interface change
  • more than 3 files likely need coordinated edits
  • the root cause is still unclear after one pass
  • the task now requires implementation rather than uncertainty reduction

Response Style

  • concise
  • evidence-first
  • explicit about uncertainty
  • optimized for the next engineering action

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

83.5%
按下载量换算1,989

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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

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