Agent skill · Security

constant-time-analysis

Analyze cryptographic code to detect operations that leak secret data through execution timing variations.

Nick44,086★ · +407/wk · 1 repos on radarProfile →
claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill constant-time-analysis --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 9 KB
Bundled scripts: none
Path: skills/constant-time-analysis/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Constant-Time Analysis Analyze cryptographic code to detect operations that leak secret data through execution timing variations. ## When to Use ```text User writing crypto code? ──yes──> Use this skill │ no │ v User asking about timing attacks? ──yes──> Use this skill │ no │ v Code handles secret keys/tokens? ──yes──> Use this skill │ no │ v Skip this skill ``` **Concrete triggers:** - User implements signature, encryption, or key derivation - Code contains `/` or `%` operators on secret-derived values - User mentions "constant-time", "timing attack", "side-channel", "KyberSlash" - Reviewing functions named `sign`, `verify`, `encrypt`, `decrypt`, `derive_key` ## When NOT to Use - Non-cryptographic code (business logic, UI, etc.) - Public data processing where timing leaks don't matter - Code that doesn't handle secrets, keys, or authentication tokens - High-level API usage where timing is handled by the library ## Language Selection Based on the file extension or language context, refer to the appropriate guide: | Language | File Extensions | Guide | | ---------- | --------------------------------- | -------------------------------------------------------- | | C, C++ | `.c`, `.h

What's inside
Steps it walks through
  1. When to Use
  2. When NOT to Use
  3. Language Selection
  4. Quick Start
  5. Native Compiled Languages Only (C, C++, Go, Rust)
  6. VM-Compiled Languages (Java, Kotlin, C#)
  7. Swift (iOS/macOS)
  8. Prerequisites
  9. Quick Reference
  10. Interpreting Results
  11. Verifying Results (Avoiding False Positives)
  12. Quick Triage Questions
  13. Limitations
  14. Real-World Impact
Commands it runs
Analyze any supported file type
uv run {baseDir}/ct_analyzer/analyzer.py <source_file>
Include conditional branch warnings
uv run {baseDir}/ct_analyzer/analyzer.py --warnings <source_file>
Filter to specific functions
uv run {baseDir}/ct_analyzer/analyzer.py --func 'sign|verify' <source_file>
JSON output for CI
uv run {baseDir}/ct_analyzer/analyzer.py --json <source_file>
Cross-architecture testing (RECOMMENDED)
uv run {baseDir}/ct_analyzer/analyzer.py --arch x86_64 crypto.c
More from agentic-awesome-skills
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About this skill
What does the constant-time-analysis skill do?

Analyze cryptographic code to detect operations that leak secret data through execution timing variations.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill constant-time-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going