Discover and install skills to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
analyzing-uefi-bootkit-persistence mukul975/Anthropic-Cybersecurity-Skills Analyzes UEFI bootkit persistence mechanisms including firmware implants in SPI flash, EFI System Partition (ESP) modifications, Secure Boot bypass techniques, and UEFI variable manipulation. Covers detection of known bootkit families (BlackLotus, LoJax, MosaicRegressor, MoonBounce, CosmicStrand), ESP partition forensic inspection, chipsec-based firmware integrity verification, and Secure Boot configuration auditing. Activates for requests involving UEFI malware analysis, firmware persistence investigation, boot chain integrity verification, or Secure Boot bypass detection. | Skills | 72 Impact — Average score across 0 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: d388b31 |
building-detection-rules-with-sigma mukul975/Anthropic-Cybersecurity-Skills Builds vendor-agnostic detection rules using the Sigma rule format for threat detection across SIEM platforms including Splunk, Elastic, and Microsoft Sentinel. Use when creating portable detection logic from threat intelligence, mapping rules to MITRE ATT&CK techniques, or converting community Sigma rules into platform-specific queries using sigmac or pySigma backends. | Skills | 72 Impact — Average score across 0 eval scenarios Securityby Critical Do not install without reviewing Reviewed: Version: d388b31 |
analyzing-cyber-kill-chain mukul975/Anthropic-Cybersecurity-Skills Analyzes intrusion activity against the Lockheed Martin Cyber Kill Chain framework to identify which phases an adversary has completed, where defenses succeeded or failed, and what controls would have interrupted the attack at earlier phases. Use when conducting post-incident analysis, building prevention-focused security controls, or mapping detection gaps to kill chain phases. Activates for requests involving kill chain analysis, intrusion kill chain, attack phase mapping, or Lockheed Martin kill chain framework. | Skills | 72 Impact — Average score across 0 eval scenarios Securityby Passed No known issues Reviewed: Version: c15f73d |
building-incident-response-playbook mukul975/Anthropic-Cybersecurity-Skills Designs and documents structured incident response playbooks that define step-by-step procedures for specific incident types aligned with NIST SP 800-61r3 and SANS PICERL frameworks. Covers playbook structure, decision trees, escalation criteria, RACI matrices, and integration with SOAR platforms. Activates for requests involving IR playbook creation, incident response procedure documentation, response runbook development, or SOAR playbook design. | Skills | 72 Impact — Average score across 0 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: d388b31 |
analyzing-security-logs-with-splunk mukul975/Anthropic-Cybersecurity-Skills Leverages Splunk Enterprise Security and SPL (Search Processing Language) to investigate security incidents through log correlation, timeline reconstruction, and anomaly detection. Covers Windows event logs, firewall logs, proxy logs, and authentication data analysis. Activates for requests involving Splunk investigation, SPL queries, SIEM log analysis, security event correlation, or log-based incident investigation. | Skills | 72 Impact — Average score across 0 eval scenarios Securityby Passed No known issues Reviewed: Version: d388b31 |
analyzing-bootkit-and-rootkit-samples mukul975/Anthropic-Cybersecurity-Skills Analyzes bootkit and advanced rootkit malware that infects the Master Boot Record (MBR), Volume Boot Record (VBR), or UEFI firmware to gain persistence below the operating system. Covers boot sector analysis, UEFI module inspection, and anti-rootkit detection techniques. Activates for requests involving bootkit analysis, MBR malware investigation, UEFI persistence analysis, or pre-OS malware detection. | Skills | 72 Impact — Average score across 0 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: efbbbba |
analyzing-indicators-of-compromise mukul975/Anthropic-Cybersecurity-Skills Analyzes indicators of compromise (IOCs) including IP addresses, domains, file hashes, URLs, and email artifacts to determine maliciousness confidence, campaign attribution, and blocking priority. Use when triaging IOCs from phishing emails, security alerts, or external threat feeds; enriching raw IOCs with multi-source intelligence; or making block/monitor/whitelist decisions. Activates for requests involving VirusTotal, AbuseIPDB, MalwareBazaar, MISP, or IOC enrichment pipelines. | Skills | 72 Impact — Average score across 0 eval scenarios Securityby Risky Do not use without reviewing Reviewed: Version: d388b31 |
analyzing-windows-amcache-artifacts mukul975/Anthropic-Cybersecurity-Skills Parses and analyzes the Windows Amcache.hve registry hive to extract evidence of program execution, application installation, and driver loading for digital forensics investigations. Uses Eric Zimmerman's AmcacheParser and Timeline Explorer for artifact extraction, SHA-1 hash correlation with threat intel, and timeline reconstruction. Activates for requests involving Amcache forensics, program execution evidence, Windows artifact analysis, or application compatibility cache investigation. | Skills | 72 Impact — Average score across 0 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: 4ae0be7 |
analyzing-macro-malware-in-office-documents mukul975/Anthropic-Cybersecurity-Skills Analyzes malicious VBA macros embedded in Microsoft Office documents (Word, Excel, PowerPoint) to identify download cradles, payload execution, persistence mechanisms, and anti-analysis techniques. Uses olevba, oledump, and VBA deobfuscation to extract the attack chain. Activates for requests involving Office macro analysis, VBA malware investigation, maldoc analysis, or document-based threat examination. | Skills | 72 Impact — Average score across 0 eval scenarios Securityby Risky Do not use without reviewing Reviewed: Version: 0f429d0 |
analyzing-linux-audit-logs-for-intrusion mukul975/Anthropic-Cybersecurity-Skills Uses the Linux Audit framework (auditd) with ausearch and aureport utilities to detect intrusion attempts, unauthorized access, privilege escalation, and suspicious system activity. Covers audit rule configuration, log querying, timeline reconstruction, and integration with SIEM platforms. Activates for requests involving auditd analysis, Linux audit log investigation, ausearch queries, aureport summaries, or host-based intrusion detection on Linux. | Skills | 72 Impact — Average score across 0 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: efbbbba |
analyzing-ransomware-encryption-mechanisms mukul975/Anthropic-Cybersecurity-Skills Analyzes encryption algorithms, key management, and file encryption routines used by ransomware families to assess decryption feasibility, identify implementation weaknesses, and support recovery efforts. Covers AES, RSA, ChaCha20, and hybrid encryption schemes. Activates for requests involving ransomware cryptanalysis, encryption analysis, key recovery assessment, or ransomware decryption feasibility. | Skills | 72 Impact — Average score across 0 eval scenarios Securityby Passed No known issues Reviewed: Version: 0f429d0 |
analyzing-memory-dumps-with-volatility mukul975/Anthropic-Cybersecurity-Skills Analyzes RAM memory dumps from compromised systems using the Volatility framework to identify malicious processes, injected code, network connections, loaded modules, and extracted credentials. Supports Windows, Linux, and macOS memory forensics. Activates for requests involving memory forensics, RAM analysis, volatile data examination, process injection detection, or memory-resident malware investigation. | Skills | 72 Impact — Average score across 0 eval scenarios Securityby Risky Do not use without reviewing Reviewed: Version: 4ae0be7 |
idea-creator wanshuiyin/Auto-claude-code-research-in-sleep Generate and rank research ideas given a broad direction. Use when user says "找idea", "brainstorm ideas", "generate research ideas", "what can we work on", or wants to explore a research area for publishable directions. | Skills | 72 Impact — Average score across 0 eval scenarios Securityby Critical Do not install without reviewing Reviewed: Version: 700fbe2 |
auto-paper-improvement-loop wanshuiyin/Auto-claude-code-research-in-sleep Autonomously improve a generated paper via GPT-5.4 xhigh review → implement fixes → recompile, for 2 rounds. Use when user says "改论文", "improve paper", "论文润色循环", "auto improve", or wants to iteratively polish a generated paper. | Skills | 72 Impact — Average score across 0 eval scenarios Securityby Passed No known issues Reviewed: Version: 9ed83e0 |
auto-review-loop wanshuiyin/Auto-claude-code-research-in-sleep Autonomous multi-round research review loop. Repeatedly reviews using a secondary Codex agent, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement. | Skills | 72 Impact — Average score across 0 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: dc00dfb |
arxiv wanshuiyin/Auto-claude-code-research-in-sleep Search, download, and summarize academic papers from arXiv. Use when user says "search arxiv", "download paper", "fetch arxiv", "arxiv search", "get paper pdf", or wants to find and save papers from arXiv to the local paper library. | Skills | 72 Impact — Average score across 0 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: bc8a7bc |
airtable-automation boisenoise/skills-collections Automate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas. | Skills | 72 1.54x Agent success vs baseline Impact 96% 1.54xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: 0.0.1 |
apify-ecommerce sickn33/antigravity-awesome-skills Extract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool. | Skills | 72 Impact — Average score across 0 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: 27cb7c6 |
outbound-ip gitstua/stu-skills Get the current public/outbound IP address of this machine using a reliable shell workflow with multiple fallback endpoints. Use when users ask for outbound IP, public IP, WAN IP, egress IP, or need IP checks before firewall/network allowlisting. | Skills | 72 Impact — Average score across 0 eval scenarios Securityby Passed No known issues Reviewed: Version: 8dd0dc8 |
Database architecture skills, docs, and rules for high-demand multi-tenant commerce platforms (PostgreSQL source of truth, Neo4j as derived GraphRAG projection, transactional outbox, RLS-based tenant isolation). Includes live schema introspection workflow via explicit Supabase MCP/read-only schema sources. Contains: adr-drafting Use when the user proposes — or the agent detects — a deviation from constitutional defaults that requires an Architecture Decision Record. Triggered by proposals to extract microservices, drop foreign keys, denormalize without measured evidence, store transactional truth in Neo4j, skip Row Level Security, skip the transactional outbox, run destructive migrations, use database-per-service, or any explicit override of a constitutional principle. Drafts a structured ADR with context, decision, consequences, alternatives rejected, migration path, validation criteria, and constitutional sections affected — and refuses to proceed with the underlying work until the ADR is at least Proposed status. commerce-database-architecture Use when designing or reviewing database architecture for high-demand multi-tenant commerce platforms — including PostgreSQL schema design, foreign keys, indexes, JSONB usage, multi-tenant isolation with Row Level Security, transactional outbox, Neo4j GraphRAG projections, event sourcing decisions, audit logging, partitioning, expand/contract migrations, and product/inventory/order modeling for restaurants, boutiques, drugstores, retailers, distributors, grocery, hardware, or appliance businesses. Triggered by any request to design tables, design schemas, create migrations, model products/variants/inventory/orders/payments, choose between monolith and microservices, choose between PostgreSQL and Neo4j as source of truth, model multi-tenant data, design event flows, or review an ER diagram. graph-rag-boundary-review Use when reviewing or designing how Neo4j and GraphRAG interact with PostgreSQL transactional truth — including any feature involving recommendations, semantic product search, ingredient relationships, substitution suggestions, complementary products, AI-assisted discovery, vector search combined with graph traversal, or any proposal that puts orders, inventory, payments, prices, or tenant access rules into Neo4j. Evaluates architectural proposals for data boundary violations, identifies sync pattern errors between Neo4j and PostgreSQL, produces structured design review feedback with severity-ranked findings, counter-proposals with Mermaid diagrams, eventing changes, and re-projection plans. Triggered by mentions of GraphRAG, Neo4j, knowledge graph, recommendations engine, semantic search, vector + graph hybrid search, AI product discovery, or any design that crosses the PostgreSQL ↔ Neo4j boundary. mermaid-diagram-review Use when the user shares a Mermaid ER diagram, schema sketch, or relationship diagram and asks for review, feedback, validation, or critique — including phrases like "what do you think of this", "look at this diagram", "I have this in mind", "can we model it like this", or pastes any block starting with "erDiagram" or "classDiagram". Validates the diagram against the constitution, returns a five-section structured response (constitutional violations, counter-proposal with improved Mermaid, migration plan if existing schema applies, test surface, open questions), and never silently accepts a design that violates tenant isolation, eventing, or graph-RAG boundaries. outbox-and-eventing-design Use when designing or reviewing the eventing layer of the commerce platform — including transactional outbox tables, outbox relays, domain event catalogs, idempotency keys, audit logs, memento snapshots, event sourcing decisions, and Neo4j projection workers. Triggered by requests to design events, design integration with external systems, design notification flows, design data sync to Neo4j or analytics warehouses, decide between event sourcing and CRUD, or review existing outbox / audit / event-sourcing schemas. postgres-schema-introspection Use when the agent needs to inspect the actual current state of a PostgreSQL database before answering a schema question — including before adding columns, before reviewing diagrams, before proposing migrations, or whenever the snapshot in .specify/memory/current-schema-state.md is stale. Connects via the configured Supabase MCP/read-only schema source, queries catalog metadata through list_tables or SELECT-only catalog SQL, and refreshes the snapshot file. Triggered by any "let me check what's already there", "what columns does X have", "what indexes exist on Y", "what does the schema look like", or by the snapshot being older than 24 hours. schema-evolution-workflow Use when the user wants to add an attribute, modify an entity, or model a new concept on top of an existing PostgreSQL schema — including phrases like "add a column to", "track this on the product", "we need to store", "model this concept", "extend the order with", "where should this live", or "should this be a new table". Inspects current state via the postgres-schema-introspection skill, runs a five-placement analysis (new column / JSONB key / EAV row / new related table / wrong entity), maps blast radius across foreign keys, outbox events, Neo4j projections, RLS, and indexes, and produces an expand/contract migration plan with rollback and tests. | SkillsDocsRules | 72 Impact — Average score across 0 eval scenarios Securityby Passed No known issues Reviewed: Version: 1.1.2 |
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