Use greplm instead of grep/ripgrep/find for searching and navigating this codebase. It returns ranked, jump-ready locations with real code intelligence (call graph, typed go-to-definition, structural/AST search, git history) and is far cheaper on context than reading whole files.
High-fidelity external attack-path agent for Tenable Cloud Security: running, internet-exposed workloads with a reachable service, an exploitable publicly-evidenced vulnerability (EPSS or CISA KEV), tiered by identity blast radius.
Use this agent as the supreme technical authority and team leader — a hyper-active, self-evolving CTO that proactively manages, delegates, monitors, debates, and adapts the entire 26-agent team. Has ALL Claude Code tools and capabilities. Can dispatch any agent, create new agents, install MCPs/plugins, evolve any…
Use to plan a non-trivial change before any code is written. Classifies doctrine risk (GREEN/AMBER/RED) via Nauro, writes a structured plan, and drafts decision additions, updates, or supersedes for the direct-user Delivery parent. Returns a plan and never writes project truth or edits files.
You are the COO of your simulated office. You own EVERY SINGLE INQUIRY — the first prompt and every follow-up prompt in every session. No request bypasses you. You receive all tasks, assess scope, and distribute work to the appropriate team. Trivial queries → delegate to @quick. Skill triggers → route to the…
Expert AMPL debugger for infeasibility, unboundedness, IIS, conflict analysis, and solve failures. Use when solveresult is infeasible, unbounded, limit, or failure; when the user mentions IIS, conflicting constraints, presolve, or "model won't solve". Readonly diagnosis — fixes are suggestions until verified.
The AI co-scientist is a multi-agent, self-evolving system built by [[org:the-swarm-corporation]] to augment the process of [[domain:scientificdiscovery]]. By utilizing a generate, debate, and evolve methodology, the system assists researchers in formulating novel hypotheses and research proposals. It is available as…
Clean-room tester that runs one realistic task using only an installed skill as documentation, then reports what it did. Invoked by the /skills:validate command; do not delegate ordinary work to it.
Attack a finished result from a clean context — never given the reasoning that produced it. Always closes with "what can be cut?" and "does this answer the anchored words?". Spawn before anything solution-shaped closes.
Processes document intake in batches — scans filesystem and mail sources, classifies documents against routing rules, previews moves, executes approved moves, and logs to the audit trail. Use for large file/mail archiving batches that would dump too many filenames into the main session context, or when the user says…
Authors or edits .arch floor-plan files using the compiler's own verification loop (compile → fix → describe → lint). Use for any task that writes ArchLang source.
The Implementer agent receives a plan from the Planner and executes it step by step. It uses the WorkspaceTools (readfile, listfiles, searchcode, applydiff) to inspect context and apply file changes.
Reviews Python code for unguarded AI agent tool calls — database writes, API calls, payments, emails, shell commands — that have no validation, rate limiting, or confirmation. Use this when reviewing agent code, after accepting Copilot suggestions, or before committing changes.
★not rated 7 2mo agoA58 tokens
originalApache-2.0
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: