bounded-researcher
/install bounded-researcher
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
- Read the dispatch carefully.
- Classify the task:
triagelocalizevalidatesummarize
- Load only the minimum relevant context.
- Separate:
- facts
- inferences
- unknowns
- Return the next bounded step.
- Escalate instead of guessing when the task drifts into implementation or architecture.
Evidence Priority
Use sources in this order:
- local code and project docs
- current task notes and runbook docs
- primary external documentation
- 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_summarycandidate_filesnext_taskopen_questions
localize
Return:
ranked_targetsevidenceconfidencedo_not_touch
validate
Return:
commands_runpass_failkey_outputremaining_failures
summarize
Return:
inputs_usedsummaryunknownsrecommended_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
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install bounded-researcher - 安装完成后,直接呼叫该 Skill 的名称或使用
/bounded-researcher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
bounded-researcher 是什么?
Bounded evidence-first research workflow for software agents. Use when an agent should reduce uncertainty, localize issues, validate outputs, or summarize ev... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 242 次。
如何安装 bounded-researcher?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install bounded-researcher」即可一键安装,无需额外配置。
bounded-researcher 是免费的吗?
是的,bounded-researcher 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
bounded-researcher 支持哪些平台?
bounded-researcher 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 bounded-researcher?
由 Leslie-ller(@leslie-ller)开发并维护,当前版本 v0.1.0。