web-sqli
claudeUse when testing a web application for SQL injection on an authorized engagement.
7 skills
Use when running a structured red team exercise against an LLM application with authorization.
Plugin llm-red-teaming from marketplace agent-arsenal in mizazhaider-ceh/AgentArsenal. Commands read from the repo's manifest — 12 days ago.
llm-red-teamingUse when running a structured red team exercise against an LLM
llm-red-teaming-reportingUse when you must turn LLM red team findings into a report a client can act on rather than a pile of chat transcripts. Covers severity scoring for jailbreak, extraction, and excessive agency findings, building a reproducible evidence pack per finding, writing remediation that names the control and t
Use when testing a web application for SQL injection on an authorized engagement.
7 skills
Use when planning or running nmap scans during authorized engagements: host discovery options, TCP SYN, connect, UDP, NULL, FIN, Xmas, and ACK scan types, service and OS detection, timing templates T0 to T5, evasion techniques (fragmentation, decoys, idle scans, source port tricks, data length padding), NSE script selection by category, and output formats for evidence.
6 skills
Use when you hold a low-privilege Linux shell on an authorized engagement, lab, or CTF and need a reliable path to root.
6 skills
Use when testing a web application for cross-site scripting on an authorized engagement.
6 skills
Use when mapping an authorized Active Directory environment during an internal assessment or assumed breach exercise.
5 skills
Use when testing REST, GraphQL, or internal APIs on an authorized engagement.
5 skills
Claude API and SDK documentation skill for building LLM-powered applications
19 skills
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2 skills · 2 commands · 2 agents · 1 MCP server
Security review for Claude-generated code. Pattern-based warnings on edits, LLM-powered diff review on Stop, and an agentic commit reviewer that catches injection, XSS, SSRF, hardcoded secrets, and 25+ other vulnerability classes.
hooks
Tenant-isolated AI teams that plan work, coordinate tasks, recall approved context, and return evidence-backed results
6 skills · 6 commands · 4 agents · 1 MCP server
Skill: add headroom-ai compress() to a Python or TypeScript app to cut LLM input tokens (tool outputs, logs, JSON, chat history). No API key.
1 skill
Query Trackio projects, runs, and metrics using the `trackio` CLI. Use when the user needs to list projects/runs/metrics, get summaries, or retrieve metric values from local Trackio databases. Supports both human-readable and JSON output formats. Covers project discovery, run inspection, metric querying, and system metrics. Designed for LLM agents and automation scripts.
1 skill
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