← 返回 Skills 市场
leslie-ller

bounded-researcher

作者 Leslie-ller · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ 安全检测通过
242
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install bounded-researcher
功能描述
Bounded evidence-first research workflow for software agents. Use when an agent should reduce uncertainty, localize issues, validate outputs, or summarize ev...
使用说明 (SKILL.md)

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
  3. Load only the minimum relevant context.
  4. Separate:
    • facts
    • inferences
    • unknowns
  5. Return the next bounded step.
  6. 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
安全使用建议
This skill is a set of behavioral instructions (no code, no installs, no credentials) and appears coherent with its stated purpose. Before installing, consider: (1) enforcement — these are guidelines the agent will try to follow but your platform controls actual file and network access, so restrict the agent's runtime permissions if you want to prevent any file reads or external calls; (2) supervision — pair this skill with a coordinator/supervisor as intended to avoid scope creep; (3) testing — run it in a sandboxed environment first to confirm outputs and that it escalates rather than makes implementation changes. If you require strong enforcement of the “do not touch” rules, ensure your agent runtime policy limits file and network access accordingly.
功能分析
Type: OpenClaw Skill Name: bounded-researcher Version: 0.1.0 The 'bounded-researcher' skill bundle consists of behavioral instructions and metadata designed to constrain an AI agent to narrow research, triage, and validation tasks. It contains no executable code, network requests, or file system operations, and its instructions (SKILL.md) explicitly forbid the agent from editing production code or making architectural decisions, focusing instead on evidence-based reporting and escalation.
能力评估
Purpose & Capability
The name/description (bounded, evidence-first research) matches the SKILL.md workflow and outputs; nothing requested (no env vars, binaries, or installs) is out of scope for that purpose.
Instruction Scope
Instructions are narrowly scoped to triage/localize/validate/summarize tasks and explicitly limit scope (load minimal context, escalate when out-of-scope). They do not instruct broad file reads, external endpoints, or credential access.
Install Mechanism
No install spec or code files are included; the skill is instruction-only so nothing is written to disk or downloaded during install.
Credentials
The skill declares no environment variables, credentials, or config paths; there are no disproportionate or unexplained secret requests.
Persistence & Privilege
always is false and autonomous invocation defaults are standard; the skill does not request permanent presence or to modify other skills or system-wide settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install bounded-researcher
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /bounded-researcher 触发
  4. 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
v0.1.0
Initial publish
元数据
Slug bounded-researcher
版本 0.1.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

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。

💬 留言讨论