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steel-session-debugging — Claude Code skill: debug sessions

Diagnoses failed Steel browser automation sessions using logs, network traces, and replay links. Pinpoints timeouts, unexpected agent actions, and blocked pages.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add steel-dev/skills --skill steel-session-debugging -a claude-code
Open on GitHub

What steel-session-debugging does

This skill investigates broken Steel browser sessions based on recorded facts rather than guesses. It confirms authentication via steel doctor --preflight, then pulls session metadata, browser console logs, agent logs, and semantic traces. Debug artifacts are stored locally in .steel-debug/ instead of dumping raw payloads into the conversation.

Before summarizing the failure, the workflow strips credentials, cookies, tokens, and form values. It reconstructs an execution timeline covering navigations, actions, network failures, and console errors to classify the breakdown against a standard taxonomy.

Fixing anti-bot roadblocks is outside its boundary. When the timeline points to bot detection, CAPTCHAs, or proxy reputation issues, the skill gathers evidence and routes the remediation to steel-reliability.

What it helps with

  • diagnose failed Steel browser automation runs by session ID
  • build chronological timelines from console logs and semantic traces
  • strip credentials and private data from debug artifacts
  • collect evidence before delegating anti-bot fixes to steel-reliability

Example prompts for the agent

  • Investigate why Steel session sess_12345 timed out and show the timeline of events
  • Extract and redact debug logs for session sess_98765 into .steel-debug/
  • Check console errors and replay links for Steel session sess_555 to find the root cause

How to install steel-session-debugging

1Skills CLI (Vercel)

npx skills add steel-dev/skills --skill steel-session-debugging -a claude-code

2Manually: put the files in place

~/.claude/skills/steel-session-debugging/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/steel-session-debugging/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about steel-session-debugging

How to install steel-session-debugging in Claude Code?

Run npx skills add steel-dev/skills --skill steel-session-debugging -a claude-code.

What does steel-session-debugging do?

It collects session traces, console logs, and replay links for a failed Steel run, producing an evidence-backed diagnosis and verification step.

Does this skill handle bot mitigation and CAPTCHAs?

No, it only captures proof of the failure. Addressing proxy settings, CAPTCHAs, or browser fingerprints belongs in steel-reliability.

Source text

SKILL.md · MIT
---
name: steel-session-debugging
description: Use this skill when the user provides a failed Steel session ID, failed automation run, timeout, browser error, blocked page, or unexpected result and wants evidence-backed diagnosis from session metadata, browser logs, raw agent logs, semantic traces, replay links, screenshots, network failures, or errors. Do not use for first-pass bot mitigation; collect evidence here, then hand off to steel-reliability for proxy, CAPTCHA, identity, or anti-bot fixes.
license: MIT
compatibility: claude-code,codex,cursor,opencode,pi
metadata:
  owner: steel
  category: debug
  stage: beta
---

# Steel Session Debugging

## Skill Boundary

Use this skill to explain what happened in a failed Steel session and what to change next. Start from evidence, not guesses.

Do not use this skill as the primary place for bot-detection mitigation, proxy strategy, CAPTCHA strategy, login reputation, or retry policy. If the evidence points there, collect enough proof and hand off to `steel-reliability`.

## Setup Check

1. Confirm the user provided a Steel session ID or enough context to identify one.
2. Run `steel doctor --preflight` if CLI auth or API access is uncertain.
3. Prefer Steel CLI diagnostics before raw API calls.
4. Create local artifacts under `.steel-debug/`; do not paste raw logs into chat unless the user asks.

## Investigation Workflow

1. Collect session metadata, browser logs, raw agent logs, semantic agent traces, and viewer/replay links.
2. Redact cookies, bearer tokens, API keys, passwords, form values, and obvious PII before summarizing.
3. Build a timeline: session creation, navigations, actions, waits, console errors, failed requests, CAPTCHA/proxy signals, and final state.
4. Classify the failure using the taxonomy in `references/failure-taxonomy.md`.
5. Produce an evidence-backed diagnosis with a smallest useful verification step.
6. If the fix involves bot detection, proxy, CAPTCHA, identity, pacing, or login persistence, route to `steel-reliability`.

## Output Format

```text
Diagnosis:
- What happened:
- Most likely cause:
- Evidence:
- What to change:
- Verification step:
- Confidence:
```

## Useful Commands

```bash
steel --json sessions get <session-id>
steel --json sessions logs <session-id>
steel --json sessions agent-logs <session-id>
steel --json sessions traces <session-id>
node scripts/collect-session-debug.mjs <session-id>
node scripts/redact-session-debug.mjs .steel-debug/<session-id>/bundle.json
node scripts/summarize-session-debug.mjs .steel-debug/<session-id>/redacted-bundle.json
```

## References

- `references/investigation-workflow.md`: detailed collection and timeline process.
- `references/log-event-types.md`: how to separate metadata, browser logs, raw agent logs, and traces.
- `references/agent-traces.md`: how to read semantic agent trace events.
- `references/network-forensics.md`: request failures, redirects, and blocked-page evidence.
- `references/replay-and-screenshots.md`: viewer, player, HLS, and screenshot usage.
- `references/failure-taxonomy.md`: standard failure classes.
- `references/reliability-handoff.md`: when to load `steel-reliability`.

© steel-dev · MIT · steel-dev/skills

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