Results for “poi”

Builds and queries multi-language source code graphs for security analysis, including blast radius, taint propagation, privilege boundaries, and entry point enumeration.

Identifies state-changing entry points in smart contract codebases for security auditing. Detects externally callable functions that modify state, categorizes them by access level, and generates structured audit reports.

Analyzes prompt injection, retrieval poisoning, memory contamination, planner drift, and tool-boundary abuse in agentic systems, mapping trust boundaries and proving exploit chains.

Assess AI/ML systems for prompt injection, jailbreak vulnerabilities, model inversion risk, data poisoning exposure, and agent tool abuse, with MITRE ATLAS mapping and guardrail recommendations.

Conduct authorized security assessments of LLM applications and AI agents, covering prompt injection, tool abuse, RAG exposure, memory poisoning, and model supply-chain risks.

Deploy XM Cyber's continuous exposure management platform to map attack paths, identify choke points, and prioritize the 2% of exposures that threaten critical assets.

Detect and prevent ARP spoofing attacks using ARPWatch, Dynamic ARP Inspection, Wireshark analysis, and custom Python monitoring scripts to protect against man-in-the-middle interception.

Scans AI agents, MCP servers, and skills for security vulnerabilities from the command line, detecting prompt injections, tool poisoning, toxic flows, malware payloads, and credential handling issues across 15+ risk categories.

Design and run a k6/Artillery load profile that measures throughput, latency percentiles, error rate, and the breaking point under concurrent traffic. Use when "load test this", "will it handle launch traffic", or "find the breaking point". Resilience-by-reading-code → audit-resilience. Never hit prod unsigned.

Probe RAG applications for prompt injection via poisoned retrieved context and embedding manipulation.

Detects and prevents code injection attacks targeting serverless functions through static analysis, event source poisoning detection, and IAM policy auditing.

Unified automation entry point covering browser automation with Playwright and Windows desktop app automation with OpenReverse for GUI interaction, network capture, and reverse engineering workflows.

Traces software supply chain provenance from source to runtime, identifying divergence points in dependency resolution, build, packaging, and release pipelines.

Audit and optimize application runtime performance (Core Web Vitals, slow code, load time). Use when "slow page", "LCP/INP/CLS", or "optimize performance". JS payload → audit-bundle-size. Concurrent breaking point → test-load. Timeouts/retries → audit-resilience.

Audit, write, or revise CONTRIBUTING.md, including the decision of whether one is warranted. Use when creating contribution guidance, editing existing CONTRIBUTING, or when a README points to missing/thin contribution docs. Applies the nayafia/contributing-template framework.

Conduct wireless network security assessments using Kismet to detect rogue access points, hidden SSIDs, weak encryption, and unauthorized clients through passive RF monitoring.

Execute a wireless network penetration test to assess WiFi security by capturing handshakes, cracking WPA2/WPA3 keys, detecting rogue access points, and testing wireless segmentation using Aircrack-ng and related tools.

Authorized OT/ICS security assessment covering Purdue model zoning, PLC/SCADA exposure, industrial protocol discovery, and safe passive-first evaluation.

Audits codebases for GDPR and CCPA/CPRA compliance by inventorying PII fields, mapping data collection points, reviewing consent mechanisms, verifying data subject rights, tracing third-party data sharing, and checking retention policies.

Plan and execute authorized red team engagements with structured attack path analysis, MITRE ATT&CK kill-chain planning, technique scoring, choke point identification, OPSEC risk assessment, and crown jewel targeting.

Configures API gateways (Kong, AWS API Gateway, Azure APIM, Apigee) as a centralized security enforcement point with authentication, rate limiting, request validation, IP allowlisting, TLS termination, and threat protection.

Deploy Cisco Duo multi-factor authentication across enterprise applications, VPN, RDP, and SSH access points, covering integration methods, adaptive policies, device trust, and phishing-resistant MFA aligned with NIST 800-63B.

Detect NTLM relay attacks through Windows Security Event correlation by analyzing Event 4624 LogonType 3 for IP-to-hostname mismatches, identifying Responder/LLMNR poisoning artifacts, and auditing SMB and LDAP signing enforcement.

Detect cyber attacks targeting OT historian servers (OSIsoft PI, Ignition, Wonderware) that sit at the IT/OT boundary and serve as pivot points for lateral movement between enterprise and control networks, including data manipulation, unauthorized queries, and exploitation of historian-specific vulnerabilities.

Stored XSS (persistent XSS) occurs when attacker-supplied input is saved server-side and later rendered unencoded to other users. Common injection points include profile fields, comments, forum posts, file upload filenames, and application logs. Detect via PHP `$_GET/$_POST/$_REQUEST/$_FILES`, ASP `Request.Form`, JSP `request.getParameter`, and BeEF hook injection. Tools: Burp Suite, OWASP ZAP, BeEF, PHP Charset Encoder, Hackvertor.

Use to check that required disclosures, consents and notices were actually given in support conversations — the right wording, at the right point, through a channel the customer could act on. Trigger for "did we give the required disclosure", "are we capturing consent properly", "recording notification audit", "check our mandatory notices", disclosure compliance, or a complaint that a customer was not told something.

Perform a structured audit of a codebase covering security, code quality, performance, dependencies, architecture, and testing hygiene, then produce a prioritized findings report. Use this skill whenever the user asks for a code review, code audit, security review, codebase assessment, "look over this repo", "what's wrong with this codebase", legacy-code triage, pre-acquisition technical due diligence, or any request to systematically evaluate the health of a project. Trigger even when the user is casual ("can you eyeball my repo?") — this skill imposes the structure that ad-hoc review misses. This skill audits a whole repository at a point in time — for reviewing a diff or PR use the built-in code-review skill; for security checks on pending changes use security-review.

Orchestrator for the learn-from suite - auto-detects source type (academic paper, GitHub repo, blog/web article, or in-conversation learnings) and routes to the correct sub-skill for credibility check, security scan, insight extraction, and application. Load when the user says "learn from", "learn from this", "extract insights from", "apply learnings from", "what can we learn from", or provides a URL, file path, or pasted content that should be ingested as knowledge. Single entry point for all learning workflows.

Deep web exploitation beyond initial scanning. Covers SQLi (blind, OOB, second-order), NoSQL injection (MongoDB, operator bypass), GraphQL injection (introspection, batching, mutation abuse), XSS (reflected/stored/DOM with full source-sink analysis), SSTI (Jinja2/Twig/Freemarker/ERB engine identification and RCE), SSRF chains, file upload bypass (polyglot creation), XXE (blind, DOCX/SVG injection, Content-Type switching), deserialization (Java/PHP/Python/.NET), command injection, path traversal (LFI wrapper bypasses), race conditions, CSRF, JWT attacks (none/key confusion/kid injection), HTTP request smuggling (CL.TE/TE.CL/H2), CRLF injection, open redirect bypass chains, CORS exploitation, web cache deception/poisoning, OAuth misconfiguration, prototype pollution, session management, and business logic flaws. Uses sqlmap (advanced modes), commix, xsser, wapiti, davtest, and manual http(action="request", ...) payloads. Every technique includes actual payloads, commands, and code snippets for immediate use. Ch

Default entry point for any research request — a hybrid router that classifies the question deterministically and either delegates to a specialist research skill (pulse for trends/sentiment, grants for NIH funding, litreview for academic literature, syllabus for course reading, patent for prior-art + IP landscape, dossier for entity research) or runs its own plan-decompose-multi-source-search-synthesize-cite fallback workflow when no specialist matches. Always surfaces the routing decision so users can override. Triggers — "research [topic]", "look into [topic]", "what do we know about [topic]", "investigate [topic]", "find me information on [topic]", "do some research on [topic]", "I need to understand [topic]", or any research request that doesn't obviously match a more-specific specialist skill. Output is a markdown briefing (default) or .docx document (on request) with full citations and an audit log.