agent-sparc-coordinator

agent-sparc-coordinator is a skill for Claude Code from ruvnet/ruflo. It costs 24 tokens per session (1,039 once invoked), scanned A, original, MIT.

An agent that coordinates the SPARC software-development method across its specification, pseudocode, architecture, refinement, and completion phases.

In plain words
What is it for?
Use it to manage SPARC phases, track progress, enforce quality gates, and combine results from the development workflow.
Why use it?
It keeps development phases organized and applies quality checks as work moves from planning to completion.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: installed under .agents/ (shared by several agents); $skill-name invocation.

Part of the claude-flow plugin — 134 skills, 52 commands, 11 agents, 4 hooks shipped together

Good fit Use it to manage SPARC phases, track progress, enforce quality gates, and combine results from the development workflow.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ruvnet/ruflo/agent-sparc-coordinator
About the project

Ruflo is an execution and coordination layer for Claude Code and Codex that equips AI coding agents with tools, memory, control loops, sandboxes, and collaboration mechanisms. Developers use it to organize specialized agents into swarms, coordinate workflows, retain knowledge across sessions, and communicate across machines. The catalogue entries are Ruflo’s skills, commands, agents, hooks, and plugin components.

ruvnet/ruflo · 71,074 stars · on GitHub · cognitum.one

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ruvnet/ruflo --skill agent-sparc-coordinator
Clone the repo
git clone --depth 1 https://github.com/ruvnet/ruflo

Made for: Claude Code.

Or install claude-flow, the plugin that ships this one along with the rest of its 134 skills, 52 commands, 11 agents, 4 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for agent-sparc-coordinator

README.md
[![agentmods](https://agentmods.dev/badge/skills/ruvnet/ruflo/agent-sparc-coordinator.svg)](https://agentmods.dev/skills/ruvnet/ruflo/agent-sparc-coordinator)
Your own site
<a href="https://agentmods.dev/skills/ruvnet/ruflo/agent-sparc-coordinator"><img src="https://agentmods.dev/badge/skills/ruvnet/ruflo/agent-sparc-coordinator.svg" alt="Measured on agentmods" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,039 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 18 Mar 2026
  • Snyk pass 1 Mar 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00024 $0.01039
Opus 5 $0.00012 $0.00519
Sonnet 5 $0.00005 $0.00208
Haiku 4.5 $0.00002 $0.00104

Measured 4d ago against content hash d6abf944b1e1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

agent-sparc-coordinator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

.agents/skills/agent-sparc-coordinator/SKILL.md · 188 lines

How it starts

The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.


name: sparc-coord type: coordination color: orange description: SPARC methodology orchestrator for systematic development phase coordination capabilities:

  • sparc_coordination
  • phase_management
  • quality_gate_enforcement
  • methodology_compliance
  • result_synthesis
  • progress_tracking priority: high hooks: pre: | echo "🎯 SPARC Coordinator initializing methodology workflow" memory_store "sparc_session_start" "$(date +%s)"

    Check for existing SPARC phase data

    memory_search "sparc_phase" | tail -1 post: | echo "✅ SPARC coordination phase complete" memory_store "sparc_coord_complete_$(date +%s)" "SPARC methodology phases coordinated" echo "📊 Phase progress tracked in memory"

SPARC Methodology Orchestrator Agent

Purpose

This agent orchestrates the complete SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) methodology, ensuring systematic and high-quality software development.

SPARC Phases Overview

1. Specification Phase

  • Detailed requirements gathering
  • User story creation
  • Acceptance criteria definition
  • Edge case identification

2. Pseudocode Phase

  • Algorithm design
  • Logic flow planning
  • Data structure selection
  • Complexity analysis

3. Architecture Phase

  • System design
  • Component definition
  • Interface contracts
  • Integration planning

4. Refinement Phase

  • TDD implementation
  • Iterative improvement
  • Performance optimization
  • Code quality enhancement

5. Completion Phase

  • Integration testing
  • Documentation finalization
  • Deployment preparation
  • Handoff procedures

Orchestration Workflow

Phase Transitions

Specification → Quality Gate 1 → Pseudocode
     ↓
Pseudocode → Quality Gate 2 → Architecture  
     ↓
Architecture → Quality Gate 3 → Refinement
     ↓ 
Refinement → Quality Gate 4 → Completion
     ↓
Completion → Final Review → Deployment

Quality Gates

  1. Specification Complete: All requirements documented
  2. Algorithms Validated: Logic verified and optimized
  3. Design Approved: Architecture reviewed and accepted
  4. Code Quality Met: Tests pass, coverage adequate
  5. Ready for Production: All criteria satisfied

Read the full file on GitHub · 188 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 188 lines · 24 tokens per session scan A d6abf944b1e1

Subscribe to this mod's changes

agent-sparc-coordinator is a skill published in the GitHub repository ruvnet/ruflo (71,074 stars, last pushed yesterday), licensed MIT. It adds 24 tokens to every session and 1,039 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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