Core Ruflo MCP tools, commands, and Claude Code orchestration patterns
Plugin ruflo-core from marketplace moaa in ahmadhammoud56/MOAA. Commands read from the repo's manifest — 5 days ago.
This plugin runs code on your machine — its hooks fire automatically on events like tool use and it starts local MCP servers. The exact commands are listed below; read them before installing.
discover-pluginsDiscover and recommend ruflo plugins based on your workflow, installed MCP tools, and current task
init-projectInitialize a new Ruflo project with MCP tools, hooks, and agent configuration. Use when setting up Ruflo in a fresh repo, or when the user says "init ruflo", "set up ruflo", or asks how to bootstrap the MCP server, hooks, and agent configs from scratch.
ruflo-doctorRun health checks on the Ruflo installation and fix common issues
ruflo-statusDiagnose Ruflo health, then report system, MCP server, and active-agent status without changing the installation
witnessSign, verify and track fix-marker regressions over time with an Ed25519 witness manifest. Use when registering fixes or checking a release for regressed fixes. The default seed proves integrity only; set RUFLO_WITNESS_SEED/RUFLO_WITNESS_PUBLIC_KEY for authorship.
/ruflo-core:ruflo-statusShow Ruflo system health, MCP server status, and active agents
/ruflo-core:witnessManage and verify a tamper-evident fix manifest with temporal history (ADR-103)
coderImplementation specialist for writing clean, efficient code following project patterns
researcherPathfinder research specialist — traverses RuVector memory graphs and codebase to surface patterns, dependencies, and prior art
reviewerCode review specialist for quality, security, and best-practice enforcement
witness-curatorMaintains the tamper-evident witness manifest. Adds new fix entries when shipping a release, regenerates the signed manifest + temporal history, identifies regression-introduction commits, and verifies markers against the live tree (ADR-103).
rufloruns: node ${CLAUDE_PLUGIN_ROOT}/scripts/mcp-launch.cjs
node -e "process.argv=[process.argv[0],'x','modify-bash'];require(require('path').join(process.env.CLAUDE_PLUGIN_ROOT,'scripts','ruflo-hook.cjs'))"
node -e "process.argv=[process.argv[0],'x','modify-file'];require(require('path').join(process.env.CLAUDE_PLUGIN_ROOT,'scripts','ruflo-hook.cjs'))"
node -e "process.argv=[process.argv[0],'x','post-command'];require(require('path').join(process.env.CLAUDE_PLUGIN_ROOT,'scripts','ruflo-hook.cjs'))"
node -e "process.argv=[process.argv[0],'x','post-edit'];require(require('path').join(process.env.CLAUDE_PLUGIN_ROOT,'scripts','ruflo-hook.cjs'))"
node -e "process.argv=[process.argv[0],'x','post-command'];require(require('path').join(process.env.CLAUDE_PLUGIN_ROOT,'scripts','ruflo-hook.cjs'))"
node -e "process.argv=[process.argv[0],'x','post-edit'];require(require('path').join(process.env.CLAUDE_PLUGIN_ROOT,'scripts','ruflo-hook.cjs'))"
node -e "process.argv=[process.argv[0],'x','precompact-manual'];require(require('path').join(process.env.CLAUDE_PLUGIN_ROOT,'scripts','ruflo-hook.cjs'))"
node -e "process.argv=[process.argv[0],'x','precompact-auto'];require(require('path').join(process.env.CLAUDE_PLUGIN_ROOT,'scripts','ruflo-hook.cjs'))"
node -e "process.argv=[process.argv[0],'x','session-end','--generate-summary','true','--persist-state','true','--export-metrics','true'];require(require('path').join(process.env.CLAUDE_PLUGIN_ROOT,'sc
Harness-native ECC operator layer - 68 agents, 286 skills, 94 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
200 skills · 94 commands · 68 agents · 1 MCP server · hooks
Expose the plugin-safe Claude Code subset of Agentic Awesome Skills through a single marketplace entry.
200 skills
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2 skills · 60 agents · hooks
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24 skills · 1 command · 1 agent · hooks
Talk like caveman. Cut 65% output tokens vs unprompted baseline (measured). Keep all technical accuracy.
20 skills · 1 command · 3 agents · hooks
A four-tier memory ladder for Claude Code where promotion is earned by recurrence, not asserted by confidence. L0 raw transcripts are never injected; L1 candidate atoms are gitignored and recalled on lexical relevance per prompt; L2 project context loads each session start; L3 stable persona is always loaded. L1 to L2 needs three distinct sessions spanning two distinct calendar days (a stated claim needs two; a verified claim is the only single-observation path); L2 to L3 needs two projects and thirty days. Two gates refuse rather than guess: a claim altered by the redaction pass never promotes on evidence alone, and a contradicted claim freezes until a human resolves it. Three hooks run the loop unattended and every one fails open. Nothing reaches a committed CLAUDE.md without an explicit human adopt. Ships 5 stdlib scripts, 3 hooks, a cs-memory-curator agent, /cs-memory, a JSON schema, and a 69-check validator. Concept from TencentCloud/TencentDB-Agent-Memory (MIT); no upstream code included.
1 skill · 1 command · 1 agent · hooks
Audit a project's npm, PyPI, and Go dependencies for supply-chain risk: version-matched advisories for direct dependencies and the full lockfile tree, abandoned upstreams, npm publisher concentration, and install scripts
1 skill
Ships pull requests to open-source projects you don't maintain — CONTRIBUTING compliance, PR-size/scope checks, minimal-diff implementation, AI-disclosure PR descriptions, and rebase or bot-review replies. Use for 提 PR / 上游 PR / 贡献代码, "open a PR", "fix this upstream", "rebase against main", "respond to the bot review". Not for reviewing PRs as maintainer (use github-review-pr) or general GitHub CRUD (use github-ops).
1 skill
Assess compliance with the EU General-Purpose AI (GPAI) Code of Practice under the AI Act (Regulation (EU) 2024/1689), Articles 51-56. Covers GPAI model identification (Art. 3(63)), systemic risk model designation (Art. 3(65), Art. 51, 10^25 FLOP training compute threshold), upstream provider obligations under Art. 53 (transparency, technical documentation, copyright policy, training data summary), additional systemic risk obligations under Art. 55 (model evaluation, adversarial testing, AI Office incident notification, cybersecurity), systemic-risk notification and Commission designation under Art. 52, downstream Art. 25 quasi-provider duties, and Art. 53(2) open-source exemption. Built for in-house counsel and AI governance teams reviewing LLM or foundation model deployments, drafting GPAI compliance plans, or assessing systemic risk thresholds. DACH: BaFin, BSI, BNetzA. Pairs with the EU AI Act System Classifier, High-Risk Readiness, FRIA, and Serious Incident Reporting skills.
200 skills
BDD-first engineering skills forked from mattpocock/skills (synced 2026-11-04, upstream v1.3.2 + 3 commits)
50 skills
Research-augmented fork of obra/superpowers. Ships 13 workflow skills (brainstorming, planning, code review, debugging, verification, worktrees, parallel agents) standalone, with no dependency on the upstream superpowers plugin.
13 skills
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