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debug调试

Agent Skill

debug 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

4,333

周安装

177

GitHub Stars

62

下载量

1,402
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:debug(调试)
来源仓库:https://github.com/odysseus0/symphony
仓库路径:skills/debug
安装命令:
npx skills add https://github.com/odysseus0/symphony --skill debug
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/odysseus0/symphony --skill debug

简介

debug 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。

  • 适用于调试信息查询、问题定位和解决方案筛选等研究检索场景。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 核验具体用法和功能边界。
  • 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操作。
  • debug 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Debug

Goals

  • Find why a run is stuck, retrying, or failing.
  • Correlate Linear issue identity to a Codex session quickly.
  • Read the right logs in the right order to isolate root cause.

Log Sources

  • Primary runtime log: log/symphony.log

- Default comes from SymphonyElixir.LogFile (log/symphony.log). - Includes orchestrator, agent runner, and Codex app-server lifecycle logs.

  • Rotated runtime logs: log/symphony.log*

- Check these when the relevant run is older.

Correlation Keys

  • issue_identifier: human ticket key (example: MT-625)
  • issue_id: Linear UUID (stable internal ID)
  • session_id: Codex thread-turn pair (<thread_id>-<turn_id>)

elixir/docs/logging.md requires these fields for issue/session lifecycle logs. Use them as your join keys during debugging.

Quick Triage (Stuck Run)

  1. Confirm scheduler/worker symptoms for the ticket.
  2. Find recent lines for the ticket (issue_identifier first).
  3. Extract session_id from matching lines.
  4. Trace that session_id across start, stream, completion/failure, and stall handling logs.
  5. Decide class of failure: timeout/stall, app-server startup failure, turn failure, or orchestrator retry loop.

Commands

# 1) Narrow by ticket key (fastest entry point)
rg -n "issue_identifier=MT-625" log/symphony.log*

# 2) If needed, narrow by Linear UUID
rg -n "issue_id=<linear-uuid>" log/symphony.log*

# 3) Pull session IDs seen for that ticket
rg -o "session_id=[^ ;]+" log/symphony.log* | sort -u

# 4) Trace one session end-to-end
rg -n "session_id=<thread>-<turn>" log/symphony.log*

# 5) Focus on stuck/retry signals
rg -n "Issue stalled|scheduling retry|turn_timeout|turn_failed|Codex session failed|Codex session ended with error" log/symphony.log*

Investigation Flow

  1. Locate the ticket slice:

- Search by issue_identifier=<KEY>. - If noise is high, add issue_id=<UUID>.

  1. Establish timeline:

- Identify first Codex session started... session_id=.... - Follow with Codex session completed, ended with error, or worker exit lines.

  1. Classify the problem:

- Stall loop: Issue stalled... restarting with backoff. - App-server startup: Codex session failed.... - Turn execution failure: turn_failed, turn_cancelled, turn_timeout, or ended with error. - Worker crash: Agent task exited... reason=....

  1. Validate scope:

- Check whether failures are isolated to one issue/session or repeating across multiple tickets.

  1. Capture evidence:

- Save key log lines with timestamps, issue_identifier, issue_id, and session_id. - Record probable root cause and the exact failing stage.

Reading Codex Session Logs

In Symphony, Codex session diagnostics are emitted into log/symphony.log and keyed by session_id. Read them as a lifecycle:

  1. Codex session started... session_id=...
  2. Session stream/lifecycle events for the same session_id
  3. Terminal event:

- Codex session completed..., or - Codex session ended with error..., or - Issue stalled... restarting with backoff

For one specific session investigation, keep the trace narrow:

  1. Capture one session_id for the ticket.
  2. Build a timestamped slice for only that session:

- rg -n "session_id=<thread>-<turn>" log/symphony.log*

  1. Mark the exact failing stage:

- Startup failure before stream events (Codex session failed...). - Turn/runtime failure after stream events (turn_* / ended with error). - Stall recovery (Issue stalled... restarting with backoff).

  1. Pair findings with issue_identifier and issue_id from nearby lines to confirm you are not mixing concurrent retries.

Always pair session findings with issue_identifier/issue_id to avoid mixing concurrent runs.

Notes

  • Prefer rg over grep for speed on large logs.
  • Check rotated logs (log/symphony.log*) before concluding data is missing.
  • If required context fields are missing in new log statements, align with elixir/docs/logging.md conventions.

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

36.25%
按下载量换算508

Claude

31.63%
按下载量换算443

Cursor

18.36%
按下载量换算257

Gemini CLI

10.3%
按下载量换算144

安全审计

Gen Agent Trust Hub

通过

Socket

通过

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/odysseus0/symphony --skill debug 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。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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