A cryptographic audit systematically reviews an application's use of cryptographic primitives, protocols, and
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →A cryptographic audit systematically reviews an application's use of cryptographic primitives, protocols, and
'Performs entitlement review and access certification campaigns using SailPoint IdentityIQ including manager
'Performs comprehensive security assessments of IoT devices and their ecosystems by testing hardware interfaces,
'Performs OAuth 2.0 scope minimization review to identify over-permissioned third-party application integrations,
Conduct systematic reviews of privileged accounts to validate access rights, identify excessive permissions,
Auditing HTTP security headers including CSP, HSTS, X-Frame-Options, and cookie attributes to identify missing
'Performing security reviews of serverless functions across AWS Lambda, Azure Functions, and GCP Cloud Functions
Triage web application vulnerability findings from DAST/SAST scanners using OWASP risk rating methodology to
Systematically assessing REST and GraphQL API endpoints against the OWASP API Security Top 10 risks using automated
'Triages security alerts in Splunk Enterprise Security by classifying severity, investigating notable events,
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Analyze a GitHub pull request including diff, comments, related issues, and local code context
Quick review checklist for python and scala code changes before callings it done.
Review files for compliance with Web Interface Guidelines.
Use when customer-facing API changes were made — i.e., API report .md files differ from main. Guides through release tag assignment, API Council review requirements, breaking change classification, deprecation process, and changeset guidance. Triggered automatically by ci-readiness-check when api-report diffs are detected.
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Use when composing, writing, drafting, or reviewing a PR title, PR description, or PR body in Fluid Framework — provides title style, body template, and section guidance.
Use when asked to review code, review a branch, or do a code review. Spawns Breaker (correctness) and API Analyst (compatibility/conventions) sub-agents while the orchestrator reviews architecture, tests, performance, and security.
Analyze PR review comments from a GitHub PR URL. Fetch review comments, verify each finding against the actual codebase, assess validity (correct/incorrect/partial), present a structured summary with recommended actions, and optionally reply to each comment on GitHub. Use when given a PR review URL or when asked to check/analyze PR feedback.
Prepares codebases for security review using Trail of Bits' checklist. Helps set review goals, runs static analysis tools, increases test coverage, removes dead code, ensures accessibility, and generates documentation (flowcharts, user stories, inline comments).
Smart contract development advisor based on Trail of Bits' best practices. Analyzes codebase to generate documentation/specifications, review architecture, check upgradeability patterns, assess implementation quality, identify pitfalls, review dependencies, and evaluate testing. Provides actionable recommendations.
Enforces authenticated gh CLI workflows over unauthenticated curl/WebFetch patterns. Use when working with GitHub URLs, API access, pull requests, or issues.
Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches AI agents running in CI/CD pipelines, including env var intermediary patterns, direct expression injection, dangerous sandbox configurations, and wildcard user allowlists. Use when reviewing workflow files that invoke AI coding agents, auditing CI/CD pipeline security for prompt injection risks, or evaluating agentic action configurations.
Scans Cosmos SDK blockchain modules and CosmWasm contracts for consensus-critical vulnerabilities — chain halts, fund loss, state divergence. 25 core + 16 IBC + 10 EVM + 3 CosmWasm patterns. Use when auditing custom x/ modules, reviewing IBC integrations, or assessing pre-launch chain security. Updated for SDK v0.53.x.
Guides through Trail of Bits' 5-step secure development workflow. Runs Slither scans, checks special features (upgradeability/ERC conformance/token integration), generates visual security diagrams, helps document security properties for fuzzing/verification, and reviews manual security areas.
Provides guidance for property-based testing across multiple languages and smart contracts. Use when writing tests, reviewing code with serialization/validation/parsing patterns, designing features, or when property-based testing would provide stronger coverage than example-based tests.
Runs external LLM code reviews (OpenAI Codex or Google Gemini CLI) on uncommitted changes, branch diffs, or specific commits. Use when the user asks for a second opinion, external review, codex review, gemini review, or mentions /second-opinion.
Identifies error-prone APIs, dangerous configurations, and footgun designs that enable security mistakes. Use when reviewing API designs, configuration schemas, cryptographic library ergonomics, or evaluating whether code follows 'secure by default' and 'pit of success' principles. Triggers: footgun, misuse-resistant, secure defaults, API usability, dangerous configuration.
Iteratively reviews and fixes Claude Code skill quality issues until they meet standards. Runs automated fix-review cycles using the skill-reviewer agent. Use to fix skill quality issues, improve skill descriptions, run automated skill review loops, or iteratively refine a skill. Triggers on 'fix my skill', 'improve skill quality', 'skill improvement loop'. NOT for one-time reviews—use /skill-reviewer directly.
Detects missing zeroization of sensitive data in source code and identifies zeroization removed by compiler optimizations, with assembly-level analysis, and control-flow verification. Use for auditing C/C++/Rust code handling secrets, keys, passwords, or other sensitive data.
Prepare weekly triage meeting summary for WinAppSDK Needs-Triage issues. Use when preparing for triage meetings, reviewing Needs-Triage issues, generating diff reports since last triage, summarizing new or updated issues, or creating action item recommendations. Triggers on requests involving triage preparation, Needs-Triage review, meeting summary, triage diff, or weekly issue analysis.
Review code changes for async-signal-safety violations in KSCrash crash handlers, signal handlers, and monitor code. Verifies suspect system calls by reading the actual implementation in Apple's open-source repos on github.com/apple-oss-distributions rather than guessing. Use when the user asks to review a diff/branch/PR/file for signal safety, or before landing changes that touch signal handlers, Mach exception handlers, or anything reachable from `Sources/KSCrashRecording`, `Sources/KSCrashRecordingCore`, `Sources/KSCrashBootTimeMonitor`, or `Sources/KSCrashDiscSpaceMonitor`.
Tips and Tricks for Working with GitHub Copilot Agent PRs
Plan, build, review, or extend a stateless Bash CLI wrapper for the publicly documented EODHD API, intended for OpenClaw agents and Clawhub.ai distribution. Use when Codex needs to define command structure, auth handling, error semantics, redaction rules, CI, packaging, or skill metadata for an open source EODHD integration that must follow OpenClaw secrets management and avoid leaking sensitive data to stdout, stderr, logs, examples, or repo artifacts.
Quality assurance system that verifies deliverables match user requirements and execution plans. Features: (1) Auto-Memory - record conversations and tasks, (2) Double Check - verify deliverables in 3 scenarios: plan confirmation, post-delivery verification, user-triggered check, (3) Idle Reflection - periodic review and lesson extraction. Triggers on 'double check it', 'dc it', 'what's wrong', '再检查一下', '到底怎么回事'.
Scan content and websites for SEO gaps, identify opportunities to outrank competitors. Use when: (1) Analyzing page SEO, (2) Checking meta tags and structured data, (3) Reviewing content for keyword optimization, (4) Auditing technical SEO factors.
GitHub Trending查看、项目搜索、Star/Fork/Watch操作、Issues管理、Pull Request操作、代码内容获取、评论管理等完整助手。当用户需要查看GitHub Trending排行榜、搜索GitHub项目、对仓库进行操作、管理Issues/PR、获取代码内容时使用此技能。
github
When your AI agent hires other AI agents for specialized subtasks.
> This document is for AI agents and LLMs to follow when writing, reviewing, or debugging redux-saga code. It compiles all rules and references into a single executable guide.
Fload is a platform for mobile app publishers. It connects to App Store Connect, Google Play Console, ad platforms, Stripe, and RevenueCat to provide analytics, AI-powered review management, anomaly d
> This document is for AI agents and LLMs to follow when writing, reviewing, or debugging Zod schemas. It compiles all rules and references into a single executable guide.
> This document is for AI agents and LLMs to follow when writing, reviewing, or debugging Jest tests. It compiles all rules and references into a single executable guide.
Automation scripts and agent helpers for the Digital Brain. Use these scripts for recurring tasks, summaries, and maintenance.
**A comprehensive guide for AI agents performing code reviews**, organized by priority and impact.
Audit-ready decision artifacts for LLM outputs — assumptions, risks, recommendation, and review gating (schema-valid JSON).
Automated daily planning and reflection system with morning briefs, wind-down prompts, sleep nudges, and weekly reviews. Use when the user wants to set up a structured daily routine, morning briefings, evening reflection prompts, or weekly planning sessions. Triggers include requests for daily schedules, morning briefs, wind-down routines, sleep reminders, weekly reviews, productivity systems, or daily planning automation.
Map application security findings to OWASP Top 10 categories and generate remediation checklists. Use for normalized AppSec review outputs and category-level prioritization.
**Your AI spending, visualized as pixel art. In real-time.**
SlowMist AI Agent Security Review — comprehensive security framework for skills, repositories, URLs, on-chain addresses, and products (Claude Code version)