systemd-deep

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

Matt Pocock's agent skills for real engineering (grilling, spec/ticket flows, TDD, code review, domain modelling and more).

39 skills

AGENTS.md as project instructions, by one option. Under claude-md-or-agents-md a project with no instruction files of its own gets its AGENTS.md files instead: a prompt.context hook asks $.fs.ancestors for every AGENTS.md and .claude/AGENTS.md from the filesystem root down to the working directory and hands them to the engine as project instruction files, which it renders, announces and withholds from agents exactly as it does CLAUDE.md, skipping any file the engine already loaded by import or link; a tool.call hook on Read attaches the ones under the project root as the engine attaches a nested CLAUDE.md. Under claude-md-and-agents-md every AGENTS.md is loaded beside CLAUDE.md. Under managed-only the project's and the person's instruction files are dropped and the organization's managed ones kept. Under claude-md the engine's walk stands alone. claude-md-or-agents-md is the default.

Production-grade engineering skills covering every phase of software development: spec, plan, build, verify, review, and ship.

25 skills · 4 agents

Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data

9 skills · 9 commands · 11 agents · 1 MCP server

5 skills + 35 modes + Material Passport pipeline. Includes v3.6.7 cross-model audit gate and v3.6.8 generator-evaluator contract.

5 skills · 16 commands · 4 agents · hooks

Perform AI code review on Git diffs — supports workspace changes, branch ranges, and single commits with concurrent per-file analysis, codebase search, and deep context-aware review.

2 commands