ruflo-autopilot

Token usage tracking, model cost attribution per agent, budget alerts, and optimization recommendations

20 skills · 1 command · 1 agent · hooks

Visual workflow automation with templates, orchestration, and lifecycle management

5 skills · 8 commands · 3 agents

Agent runtimes — local WASM-sandboxed agents (rvagent) + Anthropic Claude Managed Agents (cloud); one interface, local-vs-cloud backends

4 skills · 2 commands · 9 agents

MetaHarness integration — surfaces score/genome/mint/mcp-scan/threat-model via skills; pairs with @metaharness/router (ADR-148/149) for cost-optimal model routing; honors ADR-150 optional-augmentation constraint

13 skills · 1 command · 1 agent

Neural trading strategies — self-learning LSTM/Transformer/N-BEATS models with Rust/NAPI backtesting

9 skills · 1 command · 4 agents

Core Ruflo MCP tools, commands, and Claude Code orchestration patterns

5 skills · 2 commands · 4 agents · 1 MCP server · hooks

Interactive self-referential AI loops for iterative development. Claude works on the same task repeatedly, seeing its previous work, until completion.

3 commands · hooks

Token usage tracking, model cost attribution per agent, budget alerts, and optimization recommendations

24 skills · 1 command · 1 agent · hooks

Automate API security directly in Claude Code with 42Crunch - automatically audit OpenAPI specs, detect vulnerabilities aligned with OWASP API Security risks (including BOLA/BFLA), and apply AI-powered fixes. Designed for AI-assisted development workflows, it provides continuous guardrails through an audit->scan->remediate->validate loop, ensuring APIs meet enterprise security standards before deployment.

5 skills

Official Carbone skill — complete templating language reference covering tags, loops, conditions, formatters, aggregators, and all output formats (DOCX, XLSX, PPTX, ODT, HTML, Markdown, PDF)

1 skill

Build, launch, grade, and schedule Claude Managed Agents (CMA) in your own Anthropic account — a plugin re-implementation of Anthropic's launch-your-agent reference skill (Apache-2.0; independent, not a fork). Every session starts with a goal (./my-agent/goal.json, opt-in SessionStart hook, driven by /cs-goal); loop_compiler.py compiles it into a bounded grade->iterate loop (max_iterations 1..20), a recurring cron scheduled-deployment loop, or a single-pass interview->stage->launch workflow. 6 skills: orchestrator (context: fork goal router) + interview + stage-launch + grade-iterate + run-without-you + wrap-up. 18 stdlib-only deterministic scaffolders (no network/API calls; live launches emitted as BYOK curl that never prints the key), 4 agents, 8 commands, hooks, 5 references, 4 assets. Validators enforce CMA limits. Distinct from engineering/agent-harness (generic domain loop) and write-a-skill (authors Claude Code skills, not CMAs).

6 skills · 8 commands · 4 agents · hooks

Persistent project planning files with lifecycle hooks that inject selected plan context. Automatic recovery uses project files only. Explicit catchup modes may read same-project local session records to emit aggregate counts or bounded nonce-framed excerpts. Optional gated mode can request continuation on capable hosts and never runs commands declared in Markdown. No network upload path. Installs across 60+ agents.

6 skills · 13 commands · hooks