claude-doctor-session-diagnostics

SkillAI & models

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.

Available today. Use it from your connected AI after setup.

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 reason-machines/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

SignalMeaning
edit-thrashingSame file edited 5+ times in one session
error-loop3+ consecutive tool failures without approach change
excessive-explorationRead-to-edit ratio above 10:1
restart-clusterMultiple sessions started within 30 minutes
high-abandonment-rateMost sessions have fewer than 3 user messages

Behavioral Signals

SignalMeaning
correction-heavy20%+ of user messages start with "no", "wrong", "wait"
keep-going-loopUser repeatedly says "keep going" / "continue"
repeated-instructionsSame instruction rephrased within 5 turns (Jaccard >60%)
negative-driftMessages get shorter and more corrective over time
rapid-correctionsUser responds within 10s of agent output
high-turn-ratioUser 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 profiles
  • guidance.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 myproject to 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-rate signal.

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-reason-machines
Source
github.com/reason-machines/trending-skills