ruvnet/ruflo - Page 2

browser-extract

Extract structured data via stored browser-templates or one-shot DOM queries, with mandatory AIDefence PII + prompt-injection gates before content reaches the model

browser-form-fill

Fill a web form by mapping field-name → value, with optional template lookup from browser-templates for known forms

browser-intent

Execute a natural-language browser intent via page-agent (browser_act) when the target is easier to describe than to select — degrades gracefully when page-agent or an OpenAI-compatible LLM provider isn't configured

browser-login

Drive an authentication flow once, sanitize cookies through AIDefence, and vault a reusable cookie handle in browser-cookies for future sessions

browser-record

Open a named, traced browser session into an RVF cognitive container with a ruvector trajectory recording every action

browser-replay

Replay a recorded session trajectory against the same URL or a mutated variant; uses browser-selectors embedding similarity to recover from DOM drift

browser-screenshot-diff

Visual + DOM diff between two recorded sessions at matching trajectory step ids; used for visual regression and replay verification

browser-test

UI test recipe -- composes browser-record (capture) + browser-replay (verify) so every test produces a replayable RVF artifact, not an ephemeral run

discover-plugins

Discover and recommend ruflo plugins based on your workflow, installed MCP tools, and current task

cost-booster-route

Route tasks through hooks_route, partition by Agent Booster availability, and report Tier 1 bypass utilization with $0 cost

cost-budget-check

Read accumulated cost-tracking spend + budget config, compute utilization, emit 50/75/90/100% alert ladder

cost-optimize

Analyze token usage patterns and recommend cost optimizations with estimated savings

cost-report

Generate a cost report showing token usage and USD costs by agent and model

cost-track

Auto-capture per-session token usage from the Claude Code session jsonl and persist to the cost-tracking namespace

cognitive-pattern

Define and manage cognitive patterns for agent reasoning and decision-making

daa-agent

Create and adapt Dynamic Agentic Architecture agents that learn and evolve

ddd-aggregate

Scaffold an aggregate root with entity, value objects, repository interface, domain events, and test stubs. Use when adding a new aggregate to an existing bounded context, modeling a new business concept that owns invariants, or generating the boilerplate for…

ddd-context

Create and manage a DDD bounded context with standard directory structure. Use when starting a new subdomain, splitting a monolith into bounded contexts, or scaffolding the domain/application/infrastructure layout for a fresh module.

ddd-validate

Validate domain boundaries -- detect cross-context import violations and aggregate invariant issues. Use when auditing a DDD codebase for leaks between bounded contexts, before merging cross-cutting changes, or as a CI gate to catch boundary erosion early.

api-docs

Generate API documentation from source code with JSDoc and OpenAPI support

doc-gen

Generate and maintain documentation with drift detection. Use when the user asks to write/update/refresh docs, detect doc drift against code, or schedule recurring documentation maintenance.

federation-audit

Query federation audit logs with compliance filtering

federation-init

Initialize federation on this node — generate keypair and configure peers

federation-status

Show federation health — peers, sessions, trust levels, and message metrics. Use when the user asks "is federation healthy?", "show peers", "federation status", or wants to inspect cross-installation agent connectivity.

deep-research

Orchestrate multi-phase deep research with web search, memory retrieval, pattern matching, and synthesis into structured findings

dossier-collect

Build a graph-structured dossier on a seed entity via parallel fan-out + recursive expansion across web, memory, knowledge-graph, codebase, ADR index, and git intel

goal-plan

Create and execute Goal-Oriented Action Plans (GOAP) with precondition analysis, cost optimization, and adaptive replanning

horizon-track

Track long-horizon objectives across multiple sessions with milestone checkpoints, progress persistence, and drift detection

research-synthesize

Synthesize research findings from memory into structured reports with evidence grading, contradiction resolution, and actionable recommendations

intelligence-route

Route tasks via the 3-tier model selector and learned patterns; emits a routing rationale via hooks_explain

intelligence-transfer

Publish or fetch learned patterns across projects via IPFS (Pinata) -- the cross-project pattern transfer that hooks_transfer enables

neural-train

Train SONA + MicroLoRA neural patterns from successful task completions; runs the DISTILL + CONSOLIDATE phases of the 4-step pipeline

iot-anomalies

Detect and classify telemetry anomalies on Cognitum Seed devices. Use when investigating a device that's reporting odd metrics, before approving a firmware canary advancement, or when triaging fleet-wide health alerts.

iot-firmware

Orchestrate firmware rollouts with canary deployment and anomaly-gated advancement

iot-fleet

Create and manage Cognitum Seed device fleets with firmware policies

iot-register

Register a Cognitum Seed device by endpoint and establish agent bridge

iot-witness-verify

Verify witness chain integrity and detect provenance gaps

diff-analyze

Analyze git diffs for risk scoring, reviewer recommendations, and change classification. Use when preparing a PR, reviewing a large or cross-module change, or before merging to assess risk and pick reviewers.

git-workflow

Advanced git workflows with branch management, conflict resolution, and PR lifecycle

kg-extract

Extract entities and relations from source files to build a knowledge graph