Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/stephenqiu30/stephen-claude/debugnpx skills add StephenQiu30/stephen-claude --skill debuggit clone --depth 1 https://github.com/StephenQiu30/stephen-claudeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/stephenqiu30/stephen-claude/debug)<a href="https://agentmods.dev/skills/stephenqiu30/stephen-claude/debug"><img src="https://agentmods.dev/badge/skills/stephenqiu30/stephen-claude/debug.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00033 | $0.01073 |
| Opus 5 | $0.00016 | $0.00536 |
| Sonnet 5 | $0.00007 | $0.00215 |
| Haiku 4.5 | $0.00003 | $0.00107 |
Grade A, and why
debug scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to debug — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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.
- Default comes from
- 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)
- Confirm scheduler/worker symptoms for the ticket.
- Find recent lines for the ticket (
issue_identifierfirst). - Extract
session_idfrom matching lines. - Trace that
session_idacross start, stream, completion/failure, and stall handling logs. - 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
- Locate the ticket slice:
- Search by
issue_identifier=<KEY>. - If noise is high, add
issue_id=<UUID>.
- Search by
- Establish timeline:
- Identify first
Codex session started ... session_id=.... - Follow with
Codex session completed,ended with error, or worker exit lines.
- Identify first
- 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, orended with error. - Worker crash:
Agent task exited ... reason=....
- Stall loop:
- Validate scope:
- Check whether failures are isolated to one issue/session or repeating across multiple tickets.
- Capture evidence:
- Save key log lines with timestamps,
issue_identifier,issue_id, andsession_id. - Record probable root cause and the exact failing stage.
- Save key log lines with timestamps,
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 119 lines · 33 tokens per session scan A f043ad96235e
debug is a skill published in the GitHub repository StephenQiu30/stephen-claude (2 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 1,073 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to debug, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
pr-review-triage
Watch open PRs, check CI status, review staleness, merge conflicts, and unanswered review comments. Produces a prioritized watchlist.
happiness-skill
当用户问「怎么才能更幸福/为什么得到了还不满足/怎么减少焦虑」时调用。 核心理念: 幸福是缺憾感清空的默认状态, 是可训练的技能; 欲望是与自己的契约(得到前不快乐), 同时只留一个重大欲望; 活在当下。 不适用于: 临床抑郁等需要专业治疗的场景(本书方法不能替代医疗)。 Triggers: 幸福/不快乐/欲望/焦虑/知足/活在当下/happiness/desire/anxiety.
monkey-mind-meditation
当用户脑子停不下来、焦虑反刍、想学冥想/提升专注力时调用。 核心理念: 内心独白(心猴)是失控程序不是"我"; 用调试模式逐条观察念头, 意识到即失去控制; 冥想=收件箱归零/心灵间歇性禁食。 不适用于: 严重精神疾病急性发作(先就医); 需要立刻处理的实际问题(先做事)。 Triggers: 冥想/焦虑/脑子停不下来/胡思乱想/专注/心猴/monkey mind/meditation/anxiety.
peer-selection
当用户纠结交朋友/选伴侣/换圈子、感觉被周围人拖累、问「该不该疏远某人」时调用。 核心理念: 五只黑猩猩理论(你的行为由最常接触的5人预测); 同伴是主动选择而非巧合; 只与价值观一致者深交, 远离愤世嫉俗者/愤怒者。 不适用于: 职场必须共事的同事关系(可先设边界)。 Triggers: 朋友/圈子/伴侣/该不该疏远/被拖累/五只黑猩猩/peer/friends/circle/values.
dependency-triage
Scan package manifests and lockfiles for outdated and vulnerable dependencies. Classify by severity and update type.
draft-release-notes
Turn changelog-scan output into polished, categorized release notes draft. Propose only.