static-analysis▌
mohitmishra786/low-level-dev-skills · updated Apr 8, 2026
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Guide agents through selecting, running, and triaging static analysis tools for C/C++ — clang-tidy, cppcheck, and scan-build — including suppression strategies and CI integration.
Static Analysis
Purpose
Guide agents through selecting, running, and triaging static analysis tools for C/C++ — clang-tidy, cppcheck, and scan-build — including suppression strategies and CI integration.
Triggers
- "How do I run clang-tidy on my project?"
- "What clang-tidy checks should I enable?"
- "cppcheck is reporting false positives — how do I suppress them?"
- "How do I set up scan-build for deeper analysis?"
- "My build is noisy with static analysis warnings"
- "How do I generate compile_commands.json for clang-tidy?"
Workflow
1. Generate compile_commands.json
clang-tidy requires a compilation database:
# CMake (preferred)
cmake -S . -B build -DCMAKE_EXPORT_COMPILE_COMMANDS=ON
ln -s build/compile_commands.json .
# Bear (for Make-based projects)
bear -- make
# compiledb (alternative for Make)
pip install compiledb
compiledb make
2. Run clang-tidy
# Single file
clang-tidy src/foo.c -- -std=c11 -I include/
# Whole project via compile_commands.json
run-clang-tidy -p build/ -j$(nproc)
# With specific checks enabled
clang-tidy -checks='bugprone-*,modernize-*,performance-*' src/foo.cpp
# Apply auto-fixes
clang-tidy -checks='modernize-use-nullptr' -fix src/foo.cpp
3. Check category decision tree
Goal?
├── Find real bugs → bugprone-*, clang-analyzer-*
├── Modernise C++ code → modernize-*
├── Follow core guidelines → cppcoreguidelines-*
├── Catch performance issues → performance-*
├── Security hardening → cert-*, hicpp-*
└── Readability / style → readability-*, llvm-*
| Category | Key checks | What it catches |
|---|---|---|
bugprone-* |
use-after-move, integer-division, suspicious-memset-usage |
Likely bugs |
modernize-* |
use-nullptr, use-override, use-auto |
C++11/14/17 idioms |
cppcoreguidelines-* |
avoid-goto, pro-bounds-*, no-malloc |
C++ Core Guidelines |
performance-* |
unnecessary-copy-initialization, avoid-endl |
Performance regressions |
clang-analyzer-* |
core.*, unix.*, security.* |
Path-sensitive bugs |
cert-* |
err34-c, str51-cpp |
CERT coding standard |
4. .clang-tidy configuration file
# .clang-tidy — place at project root
Checks: >
bugprone-*,
modernize-*,
performance-*,
-modernize-use-trailing-return-type,
-bugprone-easily-swappable-parameters
WarningsAsErrors: 'bugprone-*,clang-analyzer-*'
HeaderFilterRegex: '^(src|include)/.*'
CheckOptions:
- key: modernize-loop-convert.MinConfidence
value: reasonable
- key: readability-identifier-naming.VariableCase
value: camelCase
5. Suppress false positives
// Suppress a single line
int result = riskyOp(); // NOLINT(bugprone-signed-char-misuse)
// Suppress a block
// NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers)
constexpr int BUFFER_SIZE = 4096;
// Suppress whole function
[[clang::suppress("bugprone-*")]]
void legacy_code() { /* ... */ }
Or in .clang-tidy:
# Exclude third-party directories
HeaderFilterRegex: '^(src|include)/.*'
# Disable specific checks
Checks: '-bugprone-easily-swappable-parameters'
6. Run cppcheck
# Basic run
cppcheck --enable=all --std=c11 src/
# With compile_commands.json
cppcheck --project=build/compile_commands.json
# Include specific checks and suppress noise
cppcheck --enable=warning,performance,portability \
--suppress=missingIncludeSystem \
--suppress=unmatchedSuppression \
--error-exitcode=1 \
src/
# Generate XML report for CI
cppcheck --xml --xml-version=2 src/ 2> cppcheck-report.xml
--enable= value |
What it checks |
|---|---|
warning |
Undefined behaviour, bad practices |
performance |
Redundant operations, inefficient patterns |
portability |
Non-portable constructs |
information |
Configuration and usage notes |
all |
Everything above |
7. Path-sensitive analysis with scan-build
# Intercept a Make build
scan-build make
# Intercept CMake build
scan-build cmake --build build/
# Show HTML report
scan-view /tmp/scan-build-*/
# With specific checkers
scan-build -enable-checker security.insecureAPI.gets \
-enable-checker alpha.unix.cstring.BufferOverlap \
make
scan-build finds deeper bugs than clang-tidy: use-after-free across functions, dead stores from logic errors, null dereferences on complex paths.
8. CI integration
# GitHub Actions
- name: Static analysis
run: |
cmake -S . -B build -DCMAKE_EXPORT_COMPILE_COMMANDS=ON
run-clang-tidy -p build -j$(nproc) -warnings-as-errors '*'
- name: cppcheck
run: |
cppcheck --enable=warning,performance \
--suppress=missingIncludeSystem \
--error-exitcode=1 \
src/
For clang-tidy check details, see references/clang-tidy-checks.md.
Related skills
- Use
skills/compilers/clangfor Clang toolchain and diagnostic flags - Use
skills/compilers/gccfor GCC warnings as complementary analysis - Use
skills/runtimes/sanitizersfor runtime bug detection alongside static analysis - Use
skills/build-systems/cmakeforCMAKE_EXPORT_COMPILE_COMMANDSsetup
How to use static-analysis 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 static-analysis
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches static-analysis from GitHub repository mohitmishra786/low-level-dev-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 static-analysis. Access the skill through slash commands (e.g., /static-analysis) 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
4.7★★★★★55 reviews- ★★★★★Ren Garcia· Dec 16, 2024
Solid pick for teams standardizing on skills: static-analysis is focused, and the summary matches what you get after install.
- ★★★★★Noah Flores· Dec 16, 2024
static-analysis reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Sofia Menon· Dec 4, 2024
Registry listing for static-analysis matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Dev Menon· Nov 7, 2024
I recommend static-analysis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Sofia Zhang· Nov 7, 2024
static-analysis has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Dev Rao· Oct 26, 2024
Keeps context tight: static-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Sofia Mehta· Oct 26, 2024
static-analysis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Hana Jain· Oct 2, 2024
static-analysis has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Sakshi Patil· Sep 21, 2024
static-analysis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Valentina Yang· Sep 21, 2024
static-analysis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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