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cccskills

「security」の検索結果

4,703 件 ・ 関連度順

概要と使いどころ

Host security hardening and risk-tolerance configuration for SolanaOS deployments. Use when a user asks for security audits, firewall/SSH/update hardening, risk posture, exposure review, SolanaOS cron scheduling for periodic checks, or version status checks on a machine running SolanaOS (laptop, workstation, Pi, VPS).

日本語の概要は準備中です。原文の説明を表示しています。

x402agent/SolanaOS92026年7月23日 更新

security

無料

Standalone security audit of a feature or file set: severity-ranked findings and remediation tasks.

日本語の概要は準備中です。原文の説明を表示しています。

quentin-ld/zenpress92026年10月17日 更新

This skill should be used when generating Salesforce CLI commands for tasks like authenticating to orgs, querying data with SOQL, retrieving metadata (profiles, permission sets, security settings), deploying configuration changes, or automating security audits. Use when the user describes what they want to accomplish with Salesforce and needs the specific CLI command syntax.

日本語の概要は準備中です。原文の説明を表示しています。

takusaotome/claude-skills-library92026年10月5日 更新

Use this skill for critical code review that focuses on whether the code actually works correctly and achieves the expected results - not just whether it matches a design document. This skill assumes designs can be wrong, finds bugs the design didn't anticipate, and verifies end-to-end correctness. Triggers include "critical code review", "deep code review", "verify this implementation works", "find bugs in this code", or reviewing implementation against requirements. NOTE - Security review is OUT OF SCOPE; use a dedicated security review skill for that purpose.

日本語の概要は準備中です。原文の説明を表示しています。

takusaotome/claude-skills-library92026年10月5日 更新

nist-csf

無料

Knowledge base from NIST Cybersecurity Framework (CSF) 2.0. Use for cybersecurity risk management, GOVERN, IDENTIFY, PROTECT, DETECT, RESPOND, RECOVER, Organizational Profiles, CSF Tiers, supply chain risk, enterprise risk management, incident response. Covers the CSF 2.0 document only; does not cover specific SP 800-53 controls, NIST RMF system authorization steps, or sector-specific regulations.

日本語の概要は準備中です。原文の説明を表示しています。

jgsystemsconsulting/jgs-se-knowledge-packs82026年10月15日 更新

Synthesized reference notes from three US Government vehicle-safety sources: NHTSA Cybersecurity Best Practices for the Safety of Modern Vehicles (updated 2022, final), NHTSA Automated Driving Systems 2.0: A Vision for Safety (2017), and a 16-section selection of 49 CFR Part 571 (FMVSS) pinned at eCFR versioner date 2025-01-01. Use for voluntary vehicle cybersecurity practices, the ADS 2.0 twelve priority safety design elements, and FMVSS occupant protection, brakes/stability/lighting, and fuel/EV integrity requirements. Not ISO 26262, not ASPICE, not ISO/SAE 21434, not UNECE R155/R156, not SAE J3016, and not the full Part 571; the FMVSS material is a selection of vehicle-level minimum performance standards, not a process standard.

日本語の概要は準備中です。原文の説明を表示しています。

jgsystemsconsulting/jgs-se-knowledge-packs82026年10月15日 更新

Knowledge base from the DoD Manufacturing Readiness Level (MRL) Deskbook (Version 2022, OSD ManTech / Joint Service–Industry MRL Working Group). Use for assessing and managing manufacturing maturity and producibility risk in defense acquisition: the 10-level MRL scale and its non-linear, target-not-grade nature; the five demonstration environments (laboratory → production-relevant → production-representative → pilot line → production line); the nine manufacturing-risk threads and sub-threads; how MRL targets map onto Adaptive Acquisition Framework milestones (MRL 4/6/7/8/9); conducting an MRL Assessment; building a Manufacturing Maturation Plan; putting MRL maturity into contract language (Section L/M, SOW, AS6500A, DIDs); tailoring criteria for S&T, single-system, ship, sustainment, and industry contexts; and screening operational-technology cybersecurity. Manufacturing-readiness focused — it measures producibility risk and frames mitigation; it is NOT a technology-readiness (TRL) guide, a full systems-engineering process model, a cost-estimating or schedule guide, or a deep cybersecurity audit method (see sibling packs for those).

日本語の概要は準備中です。原文の説明を表示しています。

jgsystemsconsulting/jgs-se-knowledge-packs82026年10月15日 更新

Manages your own skill landscape: surveys and compares existing skills (Audit mode), researches the web for new skills/plugins (Explore mode), and is at the same time the installer that generates lean subskills (Skill-Finder, family umbrella, maintenance skills) instead of loading a monolith. Use this skill for "compare/audit skills", "which skills are duplicated", "form skill families", "clean up/consolidate skills", "maintain the skill register", "find skills/plugins for topic X", "install new skills", "browse the skill marketplace", or for `/skill-explorer`. Delivers a sub-report per family and a globally numbered decision list; installs/uninstalls only after a security check and explicit approval.

日本語の概要は準備中です。原文の説明を表示しています。

ellmos-ai/skills82026年10月16日 更新

Drafts answers to the questions in a received RFP, RFQ or tender from the organisation's past responses, answer library, case studies, policies and other documents provided: one row per buyer question with a draft answer marked Reused, Adapted or Missing, its source and date, and a legal or pricing review flag on every answer touching terms, liability, warranties, insurance, data protection or price. Use when the user asks to "draft our RFP response", "answer this tender from our past proposals", "pre-fill the bid questions", "first pass at the RFQ answers" or "reuse our previous bid content". Do not use for writing the buyer's own RFP or requirements, use rfp-requirements-pack instead; for security or due diligence questionnaires use vendor-security-questionnaire-prefill; for scoring received supplier responses use rfp-comparison-pack. Drafts for human review; never approves, authorises or signs off.

日本語の概要は準備中です。原文の説明を表示しています。

kesslernity/awesome-copilot-agent-skills82026年9月19日 更新

Reviews a proposal, business case, deck or plan in character as a Chief Data Officer archetype and returns a DRAFT review in the chat with a verdict, findings that cite the exact passage, data and AI governance risks, what would change the verdict and five interrogation questions. Use when the user asks to "run a CDO review", "pressure-test the data governance in this plan", "what would a CDO say about this", "check the metric definitions and data sources" or "prepare this for the data governance board". Do not use for security controls or third-party security risk, use ciso-reviewer instead; for contract, liability or regulatory terms, use general-counsel-reviewer. Drafts for human review; never approves, authorises or signs off.

日本語の概要は準備中です。原文の説明を表示しています。

kesslernity/awesome-copilot-agent-skills82026年9月19日 更新

Reviews a proposal, business case, deck or plan in character as a Chief Technology Officer archetype and returns a DRAFT review in the chat with a verdict, findings cited to the exact passage, technology risks (architecture, build versus buy, vendor lock-in, security of design, engineering capacity), what would change the verdict and five interrogation questions. Use when the user asks to "run a CTO review", "pressure-test the technical side of this plan", "what would a CTO ask about this" or "rehearse the technology seat before the review". Do not use for cash, payback or budget questions, use cfo-reviewer instead; for capacity and timeline questions, use coo-reviewer; for security controls, privacy or compliance, use ciso-reviewer. Drafts for human review; never approves, authorises or signs off.

日本語の概要は準備中です。原文の説明を表示しています。

kesslernity/awesome-copilot-agent-skills82026年9月19日 更新

find-bugs

無料

Find bugs, security vulnerabilities, and code quality issues in local branch changes. Use when asked to review changes, find bugs, security review, or audit code on the current branch.

日本語の概要は準備中です。原文の説明を表示しています。

thedaviddias/ai-vs-human82026年6月2日 更新

sentinel-review

無料日本語概要

Dockerfile、Compose、Terraform、GitHub Actionsの危険設定を決定的な検出器で検査し、共通Finding schemaとredaction基準で返す。secretや一般の脆弱性はreviewerのsecurity観点を使う。明示的な `/sentinel-review` の指定でだけ使う。

coil398/dotfiles82026年10月16日 更新

sentinel-review

無料日本語概要

Dockerfile・Compose・Terraform・GitHub Actionsの差分または指定パスを決定的な検出器で検査し、共通Finding schemaとredaction基準で結果を返す。IaCの危険設定検査専用で、secretや一般の脆弱性はreviewerのsecurity観点を使う。明示的な `/sentinel-review` の指定でだけ使う。

coil398/dotfiles82026年10月16日 更新

Implements and reviews mobile identity and session flows across Flutter, Android, iOS, React Native and Kotlin Multiplatform. Use for sign-in, passkeys, account recovery, provider linking, reauthentication, logout and concurrent refresh. Security audits belong to mobile-security; account deletion belongs to mobile-privacy.

日本語の概要は準備中です。原文の説明を表示しています。

wrsilva/reis-mobile72026年10月14日 更新

Implements and reviews mobile data privacy across Flutter, Android, iOS, React Native and Kotlin Multiplatform. Use for consent withdrawal, SDK collection controls, account and data deletion, retention, privacy manifests or store data disclosures. Covers the app and backend handoff; security exploits belong to mobile-security.

日本語の概要は準備中です。原文の説明を表示しています。

wrsilva/reis-mobile72026年10月14日 更新

**MANDATORY for ALL MCP server work** - mcp-use framework best practices and patterns. **READ THIS FIRST** before any MCP server work, including: - Creating new MCP servers - Modifying existing MCP servers (adding/updating tools, resources, prompts, widgets) - Debugging MCP server issues or errors - Reviewing MCP server code for quality, security, or performance - Answering questions about MCP development or mcp-use patterns - Making ANY changes to server.tool(), server.resource(), server.prompt(), or widgets This skill contains critical architecture decisions, security patterns, and common pitfalls. Always consult the relevant reference files BEFORE implementing MCP features.

日本語の概要は準備中です。原文の説明を表示しています。

CopilotKit/Generative-UI-Global-Hackathon-Starter-Kit72026年5月27日 更新

Audits WordPress plugin/theme code for secret-handling and credential issues — hardcoded API keys, DB credentials, or signing secrets in source; weak randomness (rand, mt_rand, uniqid) used for security tokens, password reset links, nonces, or session IDs; password storage with md5/sha1/crypt instead of password_hash; insecure cookie flags (missing Secure, HttpOnly, SameSite) on sensitive cookies; secrets logged via error_log / var_dump in production code paths. Use before plugin release, when reviewing auth/registration/login features, when integrating third-party APIs, or when the user mentions "API key", "token", "session", "password reset".

日本語の概要は準備中です。原文の説明を表示しています。

nvdigitalsolutions/mcp-ai-wpoos72026年10月17日 更新

Audits WordPress plugin or theme PHP code for the most common security mistakes — missing nonce checks, capability checks, input sanitization, output escaping, unslashing, SQL preparation, AJAX nopriv exposure, file/path traversal, and unsafe redirects. Use when reviewing pull requests, before releasing a plugin, when the user asks "is this secure", or when handling code that touches $_GET / $_POST / $_REQUEST / $_COOKIE / $_FILES / $_SERVER, admin-ajax / admin-post, REST endpoints, options, user meta, custom DB queries, or file uploads.

日本語の概要は準備中です。原文の説明を表示しています。

nvdigitalsolutions/mcp-ai-wpoos72026年10月17日 更新

Build comprehensive attack trees to visualize threat paths. Use when mapping attack scenarios, identifying defense gaps, or communicating security risks to stakeholders.

日本語の概要は準備中です。原文の説明を表示しています。

ranbot-ai/awesome-skills72026年10月15日 更新

Builds production-ready REST API endpoints with validation, error handling, authentication, and documentation. Follows best practices for security and scalability.

日本語の概要は準備中です。原文の説明を表示しています。

ranbot-ai/awesome-skills72026年10月16日 更新

Implement secure API design patterns including authentication, authorization, input validation, rate limiting, and protection against common API vulnerabilities

日本語の概要は準備中です。原文の説明を表示しています。

ranbot-ai/awesome-skills72026年10月16日 更新

Use when asked to ship a SaaS MVP, audit application security, build an AI agent, run browser QA, or design a domain model with multiple skills and verified checkpoints.

日本語の概要は準備中です。原文の説明を表示しています。

ranbot-ai/awesome-skills72026年10月16日 更新

Harden AI/LLM deployments against prompt injection, data exfiltration, model theft, and supply chain attacks.

日本語の概要は準備中です。原文の説明を表示しています。

ranbot-ai/awesome-skills72026年10月16日 更新