Token导航 LogoToken导航

Agent Skill · 研究检索

bug-hunt-swarm(虫群狩猎)

bug-hunt-swarm 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

bug-hunt-swarm 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 21,200。

总安装 4,942周安装 198GitHub Stars 3,412下载 1,992核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:bug-hunt-swarm(虫群狩猎)
来源仓库:https://github.com/dimillian/skills
仓库路径:skills/bug-hunt-swarm
安装命令:
npx skills add https://github.com/dimillian/skills --skill bug-hunt-swarm
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/dimillian/skills --skill bug-hunt-swarm

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

bug-hunt-swarm 利用四个只读子代理并行调查同一问题,提升诊断效率与结果可信度。适用于多维度交叉验证 bug 成因,尤其适合症状模糊或存在多种可能解释的情况。主代理综合各子代理结论后给出优先级排序,推荐最快路径用于证实或解决问题。全程禁止直接编辑文件或实现修复,仅限诊断用途,防止意外改动引发新风险。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/bug-hunt-swarm

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/dimillian/skills --skill bug-hunt-swarm;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

bug-hunt-swarm 怎么安装?

在终端执行 npx skills add https://github.com/dimillian/skills --skill bug-hunt-swarm。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

bug-hunt-swarm 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

bug-hunt-swarm 需要什么权限?

权限级别是只读。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。

bug-hunt-swarm 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

bug-hunt-swarm 用的人多吗?

公开数据是累计安装 4,942 次,近一周安装 198 次,下载 1,992 次,GitHub 3,412 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

bug-hunt-swarm 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 来源仓库有 3,412 星,维护活跃度相对可查。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
bug-hunt-swarm

虫群狩猎 · 本页

4,9423,412只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Bug Hunt Swarm

Investigate a bug with four read-only sub-agents in parallel, then have the main agent rank the likely causes and recommend the fastest path to prove or fix the issue. This skill is diagnosis-first: do not edit files or implement fixes as part of this workflow.

Step 1: Build the Bug Packet

Start by collecting the smallest useful investigation packet:

  1. Symptom
  2. Expected behavior
  3. Actual behavior
  4. Reproduction steps, if known
  5. Scope of impact
  6. Relevant evidence, such as logs, stack traces, failing tests, screenshots, recent diffs, or environment details

Prefer this source order:

  1. Direct user description
  2. Explicit files, stack traces, logs, tests, or screenshots provided by the user
  3. Current git changes or recent repo history when the bug appears regression-like
  4. The smallest relevant code path or subsystem surrounding the failure

If the bug report is underspecified, infer a minimal problem statement and say what is still unknown.

Before launching sub-agents, read the closest project instructions and relevant docs for the touched area, such as:

  • AGENTS.md
  • repo workflow docs
  • architecture, state, routing, schema, or runtime docs for the affected subsystem

Step 2: Bound the Investigation

Write a short investigation brief for the swarm:

  1. What appears broken
  2. What is not yet proven
  3. What part of the system is most likely involved
  4. What evidence already exists
  5. What kind of proof would count as confirmation

Use read-only evidence gathering where useful:

  • rg, git diff, git log, git show
  • reading logs, crash traces, and config
  • existing test runs or the smallest safe reproduction command

Do not edit files, inject new instrumentation, or implement fixes as part of this skill.

Step 3: Launch Four Read-Only Investigators in Parallel

Launch four sub-agents when the problem is large or ambiguous enough that parallel investigation helps. For a tiny and obvious issue, it is acceptable to investigate locally instead.

For every sub-agent:

  • give the same bug packet and investigation brief
  • state that the sub-agent is read-only
  • do not let the sub-agent edit files, run apply_patch, stage changes, commit, or perform any other state-mutating action
  • ask for concise investigation output only
  • ask for: hypothesis, supporting evidence, missing evidence, smallest proof step, and confidence
  • tell the sub-agent to avoid generic code quality feedback, nits, or speculative guesses without evidence
  • tell the sub-agent to send findings back to the main agent only

Use these four investigation roles.

Sub-Agent 1: Reproduction and Scope Investigation

Clarify the exact failure shape and its boundaries.

Check for:

  1. The narrowest reliable trigger
  2. Conditions that make the bug appear or disappear
  3. Expected versus actual behavior at the failure boundary
  4. Whether the impact is local, cross-cutting, deterministic, or flaky

This sub-agent is read-only. It must not edit files, apply patches, or make any other workspace changes.

Recommended sub-agent role: reviewer

Sub-Agent 2: Code Path and Failure Seam Investigation

Trace the most likely execution path and identify the seam where behavior diverges.

Check for:

  1. State transitions, lifecycle edges, or ordering problems
  2. Mismatched assumptions between caller and callee
  3. Data-flow or control-flow breaks
  4. The smallest code region most likely responsible for the failure

This sub-agent is read-only. It must not edit files, apply patches, or make any other workspace changes.

Recommended sub-agent role: explorer for broad tracing, or reviewer when a stronger local reasoning pass is more useful

Sub-Agent 3: Recent Change and Regression Investigation

Look for likely regressors in nearby history or changed contracts.

Check for:

  1. Recent diffs that correlate with the symptom
  2. Config, flag, dependency, schema, or migration drift
  3. Partial updates where several entry points should have changed together
  4. Behavior changes that fit the timing of the bug report

This sub-agent is read-only. It must not edit files, apply patches, or make any other workspace changes.

Recommended sub-agent role: reviewer

Sub-Agent 4: Proof Plan and Observability Investigation

Determine the fastest way to confirm or reject the leading hypotheses.

Check for:

  1. The smallest existing test or reproduction that should fail
  2. The most useful current logs, traces, metrics, or assertions
  3. A minimal non-mutating command that could raise confidence quickly
  4. What evidence is missing and how to collect it without broad churn

This sub-agent is read-only. It must not edit files, apply patches, or make any other workspace changes.

Recommended sub-agent role: reviewer

Report only hypotheses that materially improve the odds of finding the real cause. It is better to return two evidence-backed theories than six vague guesses.

Step 4: Synthesize Ranked Hypotheses

The main agent owns synthesis. Treat sub-agent output as raw investigation input, not final output.

Merge and rank the hypotheses:

  • combine duplicates
  • discard weak speculation
  • prefer evidence over elegance
  • separate likely root causes from mere contributing factors
  • keep alternate theories only when they remain plausible

Normalize the surviving hypotheses into this shape:

  1. Hypothesis
  2. Supporting evidence
  3. Missing or conflicting evidence
  4. Smallest proof step
  5. Confidence: high, medium, or low

If the evidence is too weak for a real ranking, say so directly and present the leading open questions instead.

Step 5: Output a Clear Diagnosis Path

Present the result in this order:

  1. Most likely root cause
  2. Plausible alternate causes, if any
  3. Fastest proof step
  4. Recommended fix path
  5. Open questions or blockers

When the fix is not yet clear, recommend the next proving step instead of pretending the diagnosis is complete.

When helpful, group actions into:

  • prove now
  • fix next
  • follow up later

Do not implement fixes as part of this skill. The output is a read-only diagnosis with a prioritized path forward.

平台分布

Codex

35.71%
按下载量换算711

Claude

29.4%
按下载量换算586

Cursor

20.31%
按下载量换算405

Gemini CLI

8.48%
按下载量换算169

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills