claude-doctor-session-diagnostics
SkillAI & modelsclaude-doctor reads your /.claude/ JSONL transcripts, scores them for structural and behavioral anti-patterns, and generates ready-to-paste rules for CLAUDE.md or AGENTS.md.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the claude-doctor-session-diagnostics skill
About this capability
Trending Claude Code skills
What this skill tells your AI
The instructions your AI receives, as published by aradotso/trending-skills in skills/claude-doctor-session-diagnostics/SKILL.md and read by ahel’s review.
---
name: claude-doctor-session-diagnostics
description: Diagnose Claude Code sessions for behavioral anti-patterns and auto-generate CLAUDE.md rules from transcript history
triggers:
- analyze my claude sessions
- diagnose claude code behavior
- generate CLAUDE.md rules from history
- check for edit thrashing in my sessions
- why does claude keep making the same mistakes
- audit my claude transcript history
- find anti-patterns in my AI coding sessions
- create rules from my claude session history
---
# claude-doctor Session Diagnostics
> Skill by [ara.so](https://ara.so) — Daily 2026 Skills collection.
`claude-doctor` reads your `~/.claude/` JSONL transcripts, scores them for structural and behavioral anti-patterns, and generates ready-to-paste rules for `CLAUDE.md` or `AGENTS.md`.
## Install
```bash
# Global install
npm i -g claude-doctor
# Or run without installing
npx claude-doctor
Key Commands
# Analyze all sessions (default)
claude-doctor
# Analyze a specific session by ID
claude-doctor <session-id>
# Analyze a specific JSONL file directly
claude-doctor path/to/session.jsonl
# Filter to a named project
claude-doctor -p myproject
# Generate rules for CLAUDE.md / AGENTS.md
claude-doctor --rules
# Save model and guidance to .claude-doctor/
claude-doctor --save
# Output results as JSON (for piping/scripting)
claude-doctor --json
# Combine flags
claude-doctor -p myproject --rules --json
What It Detects
Structural Signals
| Signal | Meaning |
|---|---|
edit-thrashing | Same file edited 5+ times in one session |
error-loop | 3+ consecutive tool failures without approach change |
excessive-exploration | Read-to-edit ratio above 10:1 |
restart-cluster | Multiple sessions started within 30 minutes |
high-abandonment-rate | Most sessions have fewer than 3 user messages |
Behavioral Signals
| Signal | Meaning |
|---|---|
correction-heavy | 20%+ of user messages start with "no", "wrong", "wait" |
keep-going-loop | User repeatedly says "keep going" / "continue" |
repeated-instructions | Same instruction rephrased within 5 turns (Jaccard >60%) |
negative-drift | Messages get shorter and more corrective over time |
rapid-corrections | User responds within 10s of agent output |
high-turn-ratio | User sends 1.5x+ messages per agent response |
Lexical scoring uses AFINN-165 sentiment with custom agent tokens (undo, revert, wrong, broken, etc.).
Generating Rules (--rules)
The most actionable feature — scans your full history and outputs rules tuned to your actual patterns:
claude-doctor --rules
Example output:
## Rules (auto-generated by claude-doctor)
Based on analysis of 838 sessions. Paste into your CLAUDE.md or AGENTS.md.
- Read the full file before editing. Plan all changes, then make ONE complete edit.
- After 2 consecutive tool failures, stop and change your approach entirely.
- When the user corrects you, stop and re-read their message.
- Complete the FULL task before stopping.
- Every few turns, re-read the original request to make sure you haven't drifted.
Paste the output directly into your project's CLAUDE.md or AGENTS.md.
Saving a Persistent Model (--save)
claude-doctor --save
Creates .claude-doctor/ in the current directory with:
model.json— signal baselines and project profilesguidance.md— agent-readable rules suitable for CLAUDE.md inclusion or hook injection
You can reference guidance.md from your CLAUDE.md:
<!-- CLAUDE.md -->
# Project Rules
<!-- Auto-generated diagnostics -->
{{include .claude-doctor/guidance.md}}
Or source it in a hook script:
#!/bin/bash
# .claude/hooks/pre-session.sh
cat .claude-doctor/guidance.md
JSON Output for Scripting
# Pipe into jq for signal filtering
claude-doctor --json | jq '.signals[] | select(.severity == "high")'
# Save report
claude-doctor --json > session-report.json
# Check a specific project's signals
claude-doctor -p myproject --json | jq '.signals[].name'
Example JSON shape:
{
"sessions": 838,
"project": "myproject",
"signals": [
{
"name": "edit-thrashing",
"severity": "high",
"count": 14,
"description": "Same file edited 5+ times in one session"
},
{
"name": "correction-heavy",
"severity": "medium",
"count": 23,
"description": "20%+ of user messages are corrections"
}
],
"sentiment": {
"score": -0.42,
"label": "negative"
}
}
Common Workflows
Weekly session audit
# Full audit with saved model
claude-doctor --save
# Review guidance
cat .claude-doctor/guidance.md
Project-specific rule generation
# Generate rules scoped to one project
claude-doctor -p myproject --rules > /tmp/new-rules.md
# Append to existing CLAUDE.md
echo "" >> CLAUDE.md
cat /tmp/new-rules.md >> CLAUDE.md
Diagnose a single bad session
# Find recent session IDs in ~/.claude/
ls ~/.claude/
# Analyze one session
claude-doctor abc123-session-id
# Or point at the file directly
claude-doctor ~/.claude/projects/myproject/abc123.jsonl
CI integration — fail on high-severity signals
#!/bin/bash
# scripts/check-sessions.sh
SIGNALS=$(claude-doctor --json | jq '[.signals[] | select(.severity == "high")] | length')
if [ "$SIGNALS" -gt 0 ]; then
echo "High-severity session signals detected:"
claude-doctor --json | jq '.signals[] | select(.severity == "high")'
exit 1
fi
TypeScript API (programmatic use)
The package exposes internal modules if you want to integrate diagnostics into your own tooling:
import { analyzeSessions, generateRules } from 'claude-doctor';
// Analyze all sessions
const report = await analyzeSessions({
project: 'myproject', // optional filter
jsonl: undefined, // optional path to specific file
});
console.log(report.signals);
console.log(report.sentiment);
// Generate CLAUDE.md rules from report
const rules = generateRules(report);
console.log(rules);
import { analyzeFile } from 'claude-doctor';
// Analyze a single JSONL transcript
const result = await analyzeFile('~/.claude/projects/myproject/session.jsonl');
for (const signal of result.signals) {
console.log(`${signal.name} (${signal.severity}): ${signal.description}`);
}
Development
git clone https://github.com/millionco/claude-doctor
cd claude-doctor
pnpm install
pnpm build
pnpm test
# Run locally against your own sessions
node dist/cli.js --rules
Troubleshooting
No sessions found
- Transcripts must exist at
~/.claude/. Run at least one Claude Code session first. - Check
ls ~/.claude/projects/to confirm transcript directories exist.
--rules produces generic output
- More sessions = better rules. Aim for 50+ sessions before generating rules.
- Use
-p myprojectto scope rules to a specific project's patterns.
Permission errors reading ~/.claude/
chmod -R u+r ~/.claude/
JSON output is empty signals array
- Your sessions may be too short (fewer than 3 turns). High-abandonment sessions still count in the
high-abandonment-ratesignal.
TypeScript errors when importing
# Ensure you're on a compatible Node version
node --version # requires Node 18+
pnpm build # rebuild after pulling updates
Signals
- GitHub stars
- 78
- Forks
- 13
- Last commit
- Jul 2026
Advanced
- Catalog kind
- skill
- Gateway key
claude-doctor-session-diagnostics- Source
- github.com/aradotso/trending-skills