find-bugs▌
sickn33/antigravity-awesome-skills · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Review changes on this branch for bugs, security vulnerabilities, and code quality issues.
Find Bugs
Review changes on this branch for bugs, security vulnerabilities, and code quality issues.
When to Use
- You need a review focused on bugs, security issues, or risky code changes.
- The task involves auditing the current branch diff rather than implementing new behavior.
- You want a structured review process with checklist-driven verification against changed files.
Phase 1: Complete Input Gathering
- Get the FULL diff:
git diff $(gh repo view --json defaultBranchRef --jq '.defaultBranchRef.name')...HEAD - If output is truncated, read each changed file individually until you have seen every changed line
- List all files modified in this branch before proceeding
Phase 2: Attack Surface Mapping
For each changed file, identify and list:
- All user inputs (request params, headers, body, URL components)
- All database queries
- All authentication/authorization checks
- All session/state operations
- All external calls
- All cryptographic operations
Phase 3: Security Checklist (check EVERY item for EVERY file)
- Injection: SQL, command, template, header injection
- XSS: All outputs in templates properly escaped?
- Authentication: Auth checks on all protected operations?
- Authorization/IDOR: Access control verified, not just auth?
- CSRF: State-changing operations protected?
- Race conditions: TOCTOU in any read-then-write patterns?
- Session: Fixation, expiration, secure flags?
- Cryptography: Secure random, proper algorithms, no secrets in logs?
- Information disclosure: Error messages, logs, timing attacks?
- DoS: Unbounded operations, missing rate limits, resource exhaustion?
- Business logic: Edge cases, state machine violations, numeric overflow?
Phase 4: Verification
For each potential issue:
- Check if it's already handled elsewhere in the changed code
- Search for existing tests covering the scenario
- Read surrounding context to verify the issue is real
Phase 5: Pre-Conclusion Audit
Before finalizing, you MUST:
- List every file you reviewed and confirm you read it completely
- List every checklist item and note whether you found issues or confirmed it's clean
- List any areas you could NOT fully verify and why
- Only then provide your final findings
Output Format
Prioritize: security vulnerabilities > bugs > code quality
Skip: stylistic/formatting issues
For each issue:
- File:Line - Brief description
- Severity: Critical/High/Medium/Low
- Problem: What's wrong
- Evidence: Why this is real (not already fixed, no existing test, etc.)
- Fix: Concrete suggestion
- References: OWASP, RFCs, or other standards if applicable
If you find nothing significant, say so - don't invent issues.
Do not make changes - just report findings. I'll decide what to address.
How to use find-bugs 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 find-bugs
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches find-bugs from GitHub repository sickn33/antigravity-awesome-skills 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 find-bugs. Access the skill through slash commands (e.g., /find-bugs) 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
4.6★★★★★60 reviews- ★★★★★Li Zhang· Dec 24, 2024
find-bugs has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Diya Malhotra· Dec 16, 2024
Keeps context tight: find-bugs is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Liam Gupta· Nov 19, 2024
find-bugs fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Sakura Verma· Nov 15, 2024
Useful defaults in find-bugs — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Diya Sethi· Nov 7, 2024
Registry listing for find-bugs matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Alexander Thomas· Oct 26, 2024
find-bugs reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Diya Liu· Oct 10, 2024
We added find-bugs from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Hiroshi Liu· Oct 6, 2024
I recommend find-bugs for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Sakshi Patil· Sep 21, 2024
find-bugs is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Noah Khanna· Sep 21, 2024
Useful defaults in find-bugs — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
showing 1-10 of 60