Scan a project with sentrux to get structural health grades (A-F) across 14 dimensions including coupling, cycles, cohesion, dead code, and test coverage. Use when the user wants to check code quality, architecture health, or before/after an agent session.
A procedure for auditing Java archive files for security problems using evidence stored in SQLite. A Java archive, or JAR, is a packaged file containing Java code and resources.
Analyze Python module architecture using pyscn - class coupling (CBO), cohesion (LCOM), dependency cycles, and module communities. Use when user asks about architecture, module structure, coupling, circular dependencies, or which files to review or change together.
Run the pyscn command-line tool for Python code quality analysis - CI/CD quality gates, HTML/JSON/CSV reports, full analysis runs, and project configuration. Use when user wants a CI check, a shareable report file, or to configure pyscn for a project.
Get an overall Python code quality health score using pyscn. Use when user asks how healthy or good the code is, wants a quality overview, a grade, a summary of technical debt, or a before/after quality comparison.
Audit an agent skill with Semia inside Claude Code. Use when the user asks to run semia scan , "Run Semia audit on this skill", or audit a skill/plugin for behavior risk.
Deploy a serverless Spark Bitcoin L2 proxy on Vercel with spending limits, auth, and Redis logging. Use when user wants to set up a new proxy, configure env vars, deploy to Vercel, or manage the proxy infrastructure.
Write persuasive copy for landing pages, emails, ads, sales pages, and marketing materials. Use when you need to write headlines, CTAs, product descriptions, ad copy, email sequences, or any text meant to drive action. Covers copywriting formulas (AIDA, PAS, FAB), headline writing, emotional triggers, objection…
Remediate a send/send call that reaches a private method, restoring a real public seam instead of bypassing visibility. Use when send is being used to invoke private functionality in a class.
Use when choosing or running JETLS tests after code changes. Prefer component-specific tests, avoid the full suite unless needed, and use TestRunner for focused iteration.
Use when adding or modifying JETLS tests. Covers test file and module structure, @testset organization, let blocks, withserver usage, and when subroutine tests are sufficient for language-server features.
Transform a feature idea into an annotated story using a Domain Sketch or Constrained Option Tree. Use when asked to brainstorm, explore, or shape a feature before implementation.
Implement a brownfield story with OpenLore orientation, risk checks, spec validation, tests, and drift detection. Use when asked to implement or continue a story in an existing codebase.
Autonomous VTI sourcing. Discovers popular repositories that depend on a target SDK, fans out a fleet of subagents to scout each one for silent footguns, proves every candidate RED→GREEN, auto-promotes the proven ones into the corpus, logs results to the shared ledger so other fleets skip them, and reports. Run it…
Sends an agent on a scouting mission to find real-world coding traps (footguns in popular SDKs/protocols), synthesize the finding into a proven brainblast rule pack, and submit it to the pack registry. Staking $BRAIN on the pack is an optional, opt-in bond (Phase 5) — never required to produce or sell the data.
Research external APIs and SDKs before coding. Identifies every external component in a requirements file, browses official sources, and produces a structured handoff report with facts, risks, and answered questions.
Use when the user wants to run the prominent Agents Shipgate flows — shipgate check, agents-shipgate verify, or shipgate audit --host — for AI agent capability changes, PR release readiness, or coding-agent host grants.