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.
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.
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Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.
Claude CodeDeclared
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CodexDeclared
GitHub CopilotNot declared
WindsurfNot declared
Gemini CLINot declared
ClineNot declared
OpenCodeDeclared
Repository health
Stars3
LicenseMIT
Default branchmain
Open issues0
Status
Active
Skill metadata
Parsed from SKILL.md frontmatter.
LicenseMIT
Compatibilityclaude-code,codex,cursor,opencode,pi
Declared agentsclaude-codecursorcodexopencode
More metadata
owner
steel
category
debug
stage
beta
Package contents
Files included with this skill beyond the listing page.
skill mdSKILL.md3,181 B
docsREADME.md876 B
docsSUMMARY.md485 B
History
First seen on skills.sh
First recorded snapshot · 293 installs
SKILL.md
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
Confirm the user provided a Steel session ID or enough context to identify one.
Run steel doctor --preflight if CLI auth or API access is uncertain.
Prefer Steel CLI diagnostics before raw API calls.
Create local artifacts under .steel-debug/; do not paste raw logs into chat unless the user asks.
Investigation Workflow
Collect session metadata, browser logs, raw agent logs, semantic agent traces, and viewer/replay links.
Redact cookies, bearer tokens, API keys, passwords, form values, and obvious PII before summarizing.
Build a timeline: session creation, navigations, actions, waits, console errors, failed requests, CAPTCHA/proxy signals, and final state.
Classify the failure using the taxonomy in references/failure-taxonomy.md.
Produce an evidence-backed diagnosis with a smallest useful verification step.
If the fix involves bot detection, proxy, CAPTCHA, identity, pacing, or login persistence, route to steel-reliability.
Output Format
Diagnosis:
- What happened:
- Most likely cause:
- Evidence:
- What to change:
- Verification step:
- Confidence: