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Agent Skill · 研究检索

trace(trace 搜索)

trace 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。

trace 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,权限为执行命令;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 11,539。

总安装 11,175周安装 461GitHub Stars 318下载 3,651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:trace(trace 搜索)
来源仓库:https://github.com/boshu2/agentops
仓库路径:skills/trace
安装命令:
npx skills add https://github.com/boshu2/agentops --skill trace
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/boshu2/agentops --skill trace

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。

trace 追溯设计决策演化路径,构建完整溯源链条。适合在 Codex、Claude、Cursor、Gemini CLI 中理解架构演进。结合 CASS 会话、handoff 文档与 git log 还原关键节点。输出 .agents/research/ 目录下的时间线分析报告。

trace 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/trace

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/boshu2/agentops --skill trace;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

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

trace 怎么安装?

在终端执行 npx skills add https://github.com/boshu2/agentops --skill trace。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

trace 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。

trace 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/boshu2/agentops --skill trace 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

trace 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。

trace 用的人多吗?

公开数据是累计安装 11,175 次,近一周安装 461 次,下载 3,651 次,GitHub 318 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。

trace 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
trace

trace 搜索 · 本页

11,175318执行命令未明确有提醒

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

Trace Skill

Quick Ref: Trace design decisions through CASS sessions, handoffs, git, and artifacts. Output: .agents/research/YYYY-MM-DD-trace-*.md

YOU MUST EXECUTE THIS WORKFLOW. Do not just describe it.

When to Use

  • Trace HOW architectural decisions evolved
  • Find WHEN a concept was introduced
  • Understand WHY something was designed a certain way
  • Build provenance chain for design decisions

For knowledge artifact lineage (learnings, patterns, tiers), use /provenance instead.

CLI dependencies: cass (session search). If cass is unavailable, skip transcript search and rely on git log, handoff docs, and .agents/ artifacts for decision tracing.

Execution Steps

Given /trace <concept>:

Step 1: Classify Target Type

Determine what kind of provenance to trace:

IF target is a file path (contains "/" or "."):
  → Use /provenance (artifact lineage)

IF target is a git ref (sha, branch, tag):
  → Use git-based tracing (Step 2b)

ELSE (keyword/concept):
  → Use design decision tracing (Step 2a)

Step 2a: Design Decision Tracing (Concepts)

Launch 4 parallel search agents (CASS, Handoff, Git, Research) and wait for all to complete.

Backend: Agents use Task(subagent_type="Explore") which maps to task(subagent_type="explore") in OpenCode. See skills/shared/SKILL.md ("Runtime-Native Spawn Backend Selection") for the shared contract.

Read references/discovery-patterns.md for agent definitions and prompts.

Step 2b: Git-Based Tracing (Commits/Refs)

Read references/discovery-patterns.md for git-based tracing commands.

Step 3: Build Timeline

Merge results from all sources into a single chronological timeline (oldest first). Deduplicate same-day/same-session events. Every claim needs a source citation.

Step 4: Extract Key Decisions

For each event in timeline, identify:

  • What changed: The decision or evolution
  • Why: Reasoning if available
  • Who: Session/author/commit author
  • Evidence: Link to source (session path, file, commit)

Step 5: Write Trace Report

Write to: .agents/research/YYYY-MM-DD-trace-<concept-slug>.md

Read references/report-template.md for the full report format and deduplication rules.

Step 6: Report to User

Tell the user:

  1. Concept traced successfully
  2. Timeline of evolution (key dates)
  3. Most significant decisions
  4. Location of trace report
  5. Related concepts to explore

Handling Edge Cases

Read references/edge-cases.md for handling: no CASS results, no handoffs, ambiguous concepts (>20 results), and all-sources-empty scenarios. General principle: continue with remaining sources and note gaps in the report.

Key Rules

  • Search ALL sources - CASS, handoffs, git, research
  • Build timeline - chronological evolution is the goal
  • Cite evidence - every claim needs a source
  • Handle gaps gracefully - not all concepts are in all sources
  • Write report - trace must produce .agents/research/ artifact

Relationship to /provenance

SkillPurposeInputOutput
/provenanceArtifact lineageFile pathTier/promotion history
/traceDesign decisionsConcept/keywordTimeline of evolution

Use /provenance for: "Where did this learning come from?" Use /trace for: "How did we decide on this architecture?"

Examples

# Trace a design decision
/trace "three-level architecture"

# Trace a role/concept
/trace "Chiron"

# Trace a pattern
/trace "brownian ratchet"

# Trace a feature
/trace "parallel wave execution"

Tracing an Architectural Decision

User says: /trace "agent team protocol"

What happens:

  1. Agent classifies target as concept (not file path or git ref)
  2. Agent launches 4 parallel agents: CASS search, handoff search, git log search, research artifact search
  3. CASS finds 8 sessions mentioning "agent team", handoff finds 2 docs, git finds 3 commits, research finds 1 analysis
  4. Agent builds chronological timeline from 2026-01-15 (first mention) to 2026-02-08 (latest update)
  5. Agent extracts 5 key decisions: initial SendMessage design, TeamCreate addition, deliberation protocol, in-process mode, delegate mode
  6. Agent writes trace report to .agents/research/2026-02-13-trace-agent-team-protocol.md with full timeline and citations

Result: Complete evolution timeline showing how agent team protocol developed across 7 sessions with source citations.

Tracing from Git Commit

User says: /trace abc1234

What happens:

  1. Agent detects git ref format (short sha)
  2. Agent runs git-based tracing commands to get commit details, changed files, related commits
  3. Agent uses git log --grep to find related work
  4. Agent searches .agents/ for contemporary research/plans
  5. Agent builds timeline focused on that specific change
  6. Agent writes report showing commit context, what changed, why (from commit message and related docs)

Result: Trace report links commit to broader design context from surrounding artifacts.

Troubleshooting

ProblemCauseSolution
CASS returns no resultsSession search not installed or query too specificCheck which cass. If missing, skip CASS and rely on handoffs/git/research. Try broader query terms.
Timeline has gapsNot all decisions documented in searchable artifactsNote gaps in report. Suggest interviewing team members or checking Slack/email archives for missing context.
Too many results (>50 matches)Very broad concept or high-frequency termRead references/edge-cases.md for ambiguous concept handling. Narrow query or filter by date range. Ask user for more specific aspect to trace.
Empty trace report (all sources failed)Concept genuinely undocumented or typoVerify spelling. Try synonyms. Report to user: "No documented history found. This may be a new concept or may need different search terms."

平台分布

Codex

37.7%
按下载量换算1,376

Claude

29.54%
按下载量换算1,079

Cursor

19.41%
按下载量换算709

Gemini CLI

8.65%
按下载量换算316

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/boshu2/agentops --skill trace 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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