session-analyzer

ai-native-camp/camp-2 · updated Apr 8, 2026

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$npx skills add https://github.com/ai-native-camp/camp-2 --skill session-analyzer
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summary

Post-hoc analysis tool for validating Claude Code session behavior against SKILL.md specifications.

skill.md

Session Analyzer Skill

Post-hoc analysis tool for validating Claude Code session behavior against SKILL.md specifications.

Purpose

Analyze completed sessions to verify:

  1. Expected vs Actual Behavior - Did the skill follow SKILL.md workflow?
  2. Component Invocations - Were SubAgents, Hooks, and Tools called correctly?
  3. Artifacts - Were expected files created/deleted?
  4. Bug Detection - Any unexpected errors or deviations?

Input Requirements

Parameter Required Description
sessionId YES UUID of the session to analyze
targetSkill YES Path to SKILL.md to validate against
additionalRequirements NO Extra validation criteria

Phase 1: Locate Session Files

Step 1.1: Find Session Files

Session files are located in ~/.claude/:

# Main session log
~/.claude/projects/-{encoded-cwd}/{sessionId}.jsonl

# Debug log (detailed)
~/.claude/debug/{sessionId}.txt

# Agent transcripts (if subagents were used)
~/.claude/projects/-{encoded-cwd}/agent-{agentId}.jsonl

Use script to locate files:

${baseDir}/scripts/find-session-files.sh {sessionId}

Step 1.2: Verify Files Exist

Check all required files exist before proceeding. If debug log is missing, analysis will be limited.


Phase 2: Parse Target SKILL.md

Step 2.1: Extract Expected Components

Read the target SKILL.md and identify:

From YAML Frontmatter:

  • hooks.PreToolUse - Expected PreToolUse hooks and matchers
  • hooks.PostToolUse - Expected PostToolUse hooks
  • hooks.Stop - Expected Stop hooks
  • hooks.SubagentStop - Expected SubagentStop hooks
  • allowed-tools - Tools the skill is allowed to use

From Markdown Body:

  • SubAgents mentioned (Task(subagent_type="..."))
  • Skills called (Skill("..."))
  • Artifacts created (.dev-flow/drafts/, .dev-flow/plans/, etc.)
  • Workflow steps and conditions

Step 2.2: Build Expected Behavior Checklist

Create checklist from SKILL.md analysis:

## Expected Behavior

### SubAgents
- [ ] Explore agent called (parallel, run_in_background)
- [ ] gap-analyzer called before plan generation
- [ ] reviewer called after plan creation

### Hooks
- [ ] PreToolUse[Edit|Write] triggers plan-guard.sh
- [ ] Stop hook validates reviewer approval

### Artifacts
- [ ] Draft file created at .dev-flow/drafts/{name}.md
- [ ] Plan file created at .dev-flow/plans/{name}.md
- [ ] Draft file deleted after OKAY

### Workflow
- [ ] Interview Mode before Plan Generation
- [ ] User explicit request triggers plan generation
- [ ] Reviewer REJECT causes revision loop

Phase 3: Analyze Debug Log

The debug log (~/.claude/debug/{sessionId}.txt) contains detailed execution traces.

Step 3.1: Extract SubAgent Calls

Search patterns:

SubagentStart with query: {agent-name}
SubagentStop with query: {agent-id}

Use script:

${baseDir}/scripts/extract-subagent-calls.sh {debug-log-path}

Step 3.2: Extract Hook Events

Search patterns:

Getting matching hook commands for {HookEvent} with query: {tool-name}
Matched {N} unique hooks for query "{query}"
Hooks: Processing prompt hook with prompt: {prompt}
Hooks: Prompt hook condition was met/not met
permissionDecision: allow/deny

Use script:

${baseDir}/scripts/extract-hook-events.sh {debug-log-path}

Step 3.3: Extract Tool Calls

Search patterns:

executePreToolHooks called for tool: {tool-name}
File {path} written atomically

Step 3.4: Extract Hook Results

For prompt-based hooks, find the model response:

Hooks: Model response: {
  "ok": true/false,
  "reason": "..."
}

Phase 4: Verify Artifacts

Step 4.1: Check File Creation

For each expected artifact:

  1. Search debug log for FileHistory: Tracked file modification for {path}
  2. Search for File {path} written atomically
  3. Verify current filesystem state

Step 4.2: Check File Deletion

For files that should be deleted:

  1. Search for rm commands in Bash calls
  2. Verify file no longer exists on filesystem

Phase 5: Compare Expected vs Actual

Step 5.1: Build Comparison Table

| Component | Expected | Actual | Status |
|-----------|----------|--------|--------|
| Explore agent | 2 parallel calls | 2 calls at 09:39:26 ||
| gap-analyzer | Called before plan | Called at 09:43:08 ||
| reviewer | Called after plan | 2 calls (REJECT→OKAY) ||
| PreToolUse hook | Edit\|Write matcher | Triggered for Write ||
| Stop hook | Validates approval | Returned ok:true ||
| Draft file | Created then deleted | Created→Deleted ||
| Plan file | Created | Exists (10KB) ||

Step 5.2: Identify Deviations

Flag any mismatches:

  • Missing component calls
  • Wrong order of operations
  • Hook failures
  • Missing artifacts
  • Unexpected errors

Phase 6: Generate Report

Report Template

# Session Analysis Report

## Session Info
- **Session ID**: {sessionId}
- **Target Skill**: {skillPath}
- **Analysis Date**: {date}

---

## 1. Expected Behavior (from SKILL.md)

[Summary of expected workflow]

---

## 2. Skill/SubAgent/Hook Verification

### SubAgents
| SubAgent | Expected | Actual | Time | Result |
|----------|----------|--------|------|--------|
| ... | ... | ... | ... | ✅/❌ |

### Hooks
| Hook | Matcher | Triggered | Result |
|------|---------|-----------|--------|
| ... | ... | ... | ✅/❌ |

---

## 3. Artifacts Verification

| Artifact | Path | Expected State | Actual State |
|----------|------|----------------|--------------|
| ... | ... | ... | ✅/❌ |

---

## 4. Issues/Bugs

| Severity | Description | Location |
|----------|-------------|----------|
| ... | ... | ... |

---

## 5. Overall Result

**Verdict**: ✅ PASS / ❌ FAIL

**Summary**
how to use session-analyzer

How to use session-analyzer on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add session-analyzer
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/ai-native-camp/camp-2 --skill session-analyzer

The skills CLI fetches session-analyzer from GitHub repository ai-native-camp/camp-2 and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/session-analyzer

Reload or restart Cursor to activate session-analyzer. Access the skill through slash commands (e.g., /session-analyzer) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.457 reviews
  • Camila Robinson· Dec 24, 2024

    session-analyzer reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Omar Thompson· Dec 16, 2024

    Useful defaults in session-analyzer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Michael Gupta· Dec 12, 2024

    session-analyzer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Olivia Brown· Dec 8, 2024

    We added session-analyzer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Michael Gill· Dec 4, 2024

    I recommend session-analyzer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Dev Bhatia· Nov 23, 2024

    Useful defaults in session-analyzer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Nia Haddad· Nov 11, 2024

    We added session-analyzer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Camila Martinez· Nov 7, 2024

    I recommend session-analyzer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Nia Lopez· Nov 3, 2024

    session-analyzer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Arya Jain· Oct 26, 2024

    Keeps context tight: session-analyzer is the kind of skill you can hand to a new teammate without a long onboarding doc.

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