codebygarv/Ai-skills

A community-driven catalogue of 150+ reusable AI agent skills for Claude Code , Antigravity, Cursor Ai , kimi , deepseek ,Mimo — code review, security auditing, architecture review, and more. Install any skill with one npx command.

25Stars on the repository
120Mods indexed here, across every type
19d agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

codebygarv/Ai-skills

Skill Claude CodeCodex

Reviews how a feature or system handles PII, data retention, and consent against common privacy-framework principles (GDPR-style). Use when a feature collects, stores, or processes personal data - not a substitute for legal advice.

not rated 25 +1 19d ago A 52 tokens original MIT

cors-csrf-auditor

74

codebygarv/Ai-skills

Skill Claude CodeCodex

Reviews Cross-Origin Resource Sharing configs, CSRF protections, SameSite cookies, and origin security.

not rated 25 +1 19d ago A 27 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Reviews cipher algorithms, key derivation parameters (Argon2, bcrypt), token signing keys, and TLS settings.

not rated 25 +1 19d ago A 32 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Formulates redaction rules and masking strategies for PII, secrets, and customer data in logs and staging.

not rated 25 +1 19d ago A 29 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Triages CVEs and Dependabot/Snyk security alerts to assess real runtime exploitability and reduce alarm fatigue.

not rated 25 +1 19d ago A 30 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Structures raw incident notes into a blameless postmortem - timeline, root cause, impact, and action items. Use after an incident/outage once the immediate fire is out and it needs to be documented.

not rated 25 +1 19d ago A 50 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Audits JSON Web Token implementations for algorithm confusion attacks, key rotation, expiration, and replay defense.'.

not rated 25 +1 19d ago A 25 tokens original MIT

rbac-abac-designer

80

codebygarv/Ai-skills

Skill Claude CodeCodex

Designs Role-Based and Attribute-Based Access Control models, permission bitmasks, and multi-tenant boundary checks.

not rated 25 +1 19d ago A 30 tokens original MIT

secrets-scanner

81

codebygarv/Ai-skills

Skill Claude CodeCodex

Narrowly scans code and config for hardcoded secrets, credentials, API keys, and tokens. Use before a commit/PR, or when auditing a codebase for accidentally-committed secrets.

not rated 25 +1 19d ago A 45 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Prepares automated audit trails, access review logs, change management records, and infrastructure evidence for SOC 2 audits.

not rated 25 +1 19d ago A 30 tokens original MIT

threat-modeler

83

codebygarv/Ai-skills

Skill Claude CodeCodex

Performs proactive, pre-implementation threat modeling (STRIDE-style) for a feature or system before it's built. Use when designing something new that touches user data, auth, money, or external input, before writing code.

not rated 25 +1 19d ago A 50 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Designs chaos engineering experiments like network latency injection and node termination to validate resilience.

not rated 25 +1 19d ago A 23 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Establishes consumer-driven contract tests using Pact or OpenAPI to prevent breaking changes across services.

not rated 25 +1 19d ago A 24 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Plans high-value end-to-end critical user journeys with Playwright or Cypress focusing on revenue-critical flows.

not rated 25 +1 19d ago A 28 tokens original MIT

edge-case-hunter

87

codebygarv/Ai-skills

Skill Claude CodeCodex

Focuses specifically on unusual inputs, boundary conditions, empty states, and unexpected user behavior that implementations commonly miss. Use to find what a normal test pass would skip over.

not rated 25 +1 19d ago A 39 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Diagnoses why a test passes sometimes and fails others - timing, shared state, ordering dependence, or external dependencies - and proposes a fix. Use when a test fails intermittently.

not rated 25 +1 19d ago A 43 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Creates property-based and mutation fuzz testing harnesses (AFL, Atheris, fast-check) to discover unexpected panics and crashes.

not rated 25 +1 19d ago A 34 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Designs realistic load and performance testing scenarios with k6, Locust, or JMeter for traffic simulations.

not rated 25 +1 19d ago A 28 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Generates realistic, edge-case-rich mock fixtures and synthetic API payloads without leaking real PII.

not rated 25 +1 19d ago A 26 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Analyzes test suites to identify surviving mutants, weak assertions, and false confidence in line coverage.

not rated 25 +1 19d ago A 24 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Audits brittle UI and JSON snapshot tests to eliminate false alarm failures and replace them with resilient semantic assertions.

not rated 25 +1 19d ago A 27 tokens original MIT

test-case-designer

94

codebygarv/Ai-skills

Skill Claude CodeCodex

Converts requirements into structured manual and automated test cases with clear steps and expected results. Use when you need a test plan/test case document, not code-level unit tests.

not rated 25 +1 19d ago A 39 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Identifies which behaviors are meaningfully untested and risk-ranks the gaps, rather than reporting line-coverage percentage. Use when deciding where to add tests next.

not rated 25 +1 19d ago A 39 tokens original MIT

test-generator

96

codebygarv/Ai-skills

Skill Claude CodeCodex

Creates meaningful unit, integration, and component tests based on implementation and requirements. Use when code needs test coverage and you want tests that verify behavior, not just tests that pad a coverage number.

not rated 25 +1 19d ago A 41 tokens original MIT

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