session-analyzer▌
ai-native-camp/camp-2 · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Post-hoc analysis tool for validating Claude Code session behavior against SKILL.md specifications.
Session Analyzer Skill
Post-hoc analysis tool for validating Claude Code session behavior against SKILL.md specifications.
Purpose
Analyze completed sessions to verify:
- Expected vs Actual Behavior - Did the skill follow SKILL.md workflow?
- Component Invocations - Were SubAgents, Hooks, and Tools called correctly?
- Artifacts - Were expected files created/deleted?
- 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 matchershooks.PostToolUse- Expected PostToolUse hookshooks.Stop- Expected Stop hookshooks.SubagentStop- Expected SubagentStop hooksallowed-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:
- Search debug log for
FileHistory: Tracked file modification for {path} - Search for
File {path} written atomically - Verify current filesystem state
Step 4.2: Check File Deletion
For files that should be deleted:
- Search for
rmcommands in Bash calls - 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 on Cursor
AI-first code editor with Composer
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
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches session-analyzer from GitHub repository ai-native-camp/camp-2 and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
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
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.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 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▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.4★★★★★57 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.
showing 1-10 of 57