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tracetrace 搜索

Agent Skill

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。

总安装

11,175

周安装

461

GitHub Stars

318

下载量

3,651
CodexClaudeCursorGemini CLI

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

unknown

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: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

简介

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。

SKILL.md

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."

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

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 warning/failed 结果,不能写成本站确认安全。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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