source-command-sparc-sparc-modes

source-command-sparc-sparc-modes is a skill for Claude Code, Codex from ayushcodes10/echo-mem. It costs 24 tokens per session (1,108 once invoked), scanned A, original, Apache-2.0.

A guide to SPARC, a software development method covering specification, planning, design, review, and coding through 17 specialised working modes. It describes modes for coordinating agents, writing code, researching, testing, debugging, and documenting.

In plain words
What is it for?
Use it to select a SPARC mode for tasks such as system design, code generation, code review, test-driven development, research, debugging, testing, or documentation.
Why use it?
It gives you a structured way to choose different kinds of development help instead of handling every project task in one step.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions Codex.

Good fit Use it to select a SPARC mode for tasks such as system design, code generation, code review, test-driven development, research, debugging, testing, or documentation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ayushcodes10/echo-mem/source-command-sparc-sparc-modes
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 ayushcodes10/echo-mem --skill source-command-sparc-sparc-modes
Clone the repo
git clone --depth 1 https://github.com/ayushcodes10/echo-mem

Made for: Claude Code, Codex.

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 source-command-sparc-sparc-modes

README.md
[![agentmods](https://agentmods.dev/badge/skills/ayushcodes10/echo-mem/source-command-sparc-sparc-modes/github.svg)](https://agentmods.dev/skills/ayushcodes10/echo-mem/source-command-sparc-sparc-modes)
Your own site
<a href="https://agentmods.dev/skills/ayushcodes10/echo-mem/source-command-sparc-sparc-modes"><img src="https://agentmods.dev/badge/skills/ayushcodes10/echo-mem/source-command-sparc-sparc-modes/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for source-command-sparc-sparc-modes

Your own site · 80×15
<a href="https://agentmods.dev/skills/ayushcodes10/echo-mem/source-command-sparc-sparc-modes"><img src="https://agentmods.dev/badge/skills/ayushcodes10/echo-mem/source-command-sparc-sparc-modes.svg" alt="Reviewed on agentmods" width="80" 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 1,108 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.
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 $0.01108
Opus 5.5 $0.00010 $0.00443
Sonnet 5.5 $0.00005 $0.00222
Haiku 4.5 $0.00002 $0.00111

Measured 1mo ago against content hash 1fb946263395, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

source-command-sparc-sparc-modes 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 1mo 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.

.agents/skills/source-command-sparc-sparc-modes/SKILL.md · 186 lines

How it starts

The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.

source-command-sparc-sparc-modes

Use this skill when the user asks to run the migrated source command sparc-sparc-modes.

Command Template

SPARC Modes Overview

SPARC (Specification, Planning, Architecture, Review, Code) is a comprehensive development methodology with 17 specialized modes, all integrated with MCP tools for enhanced coordination and execution.

Available Modes

Core Orchestration Modes

  • orchestrator: Multi-agent task orchestration
  • swarm-coordinator: Specialized swarm management
  • workflow-manager: Process automation
  • batch-executor: Parallel task execution

Development Modes

  • coder: Autonomous code generation
  • architect: System design
  • reviewer: Code review
  • tdd: Test-driven development

Analysis and Research Modes

  • researcher: Deep research capabilities
  • analyzer: Code and data analysis
  • optimizer: Performance optimization

Creative and Support Modes

  • designer: UI/UX design
  • innovator: Creative problem solving
  • documenter: Documentation generation
  • debugger: Systematic debugging
  • tester: Comprehensive testing
  • memory-manager: Knowledge management

Usage

Option 1: Using MCP Tools (Preferred in Codex)

// Execute SPARC mode directly
mcp__claude-flow__sparc_mode {
  mode: "<mode>",
  task_description: "<task>",
  options: {
    // mode-specific options
  }
}

// Initialize swarm for advanced coordination
mcp__claude-flow__swarm_init {
  topology: "hierarchical",
  strategy: "auto",
  maxAgents: 8
}

// Spawn specialized agents
mcp__claude-flow__agent_spawn {
  type: "<agent-type>",
  capabilities: ["<capability1>", "<capability2>"]
}

// Monitor execution
mcp__claude-flow__swarm_monitor {
  swarmId: "current",
  interval: 5000
}

Option 2: Using NPX CLI (Fallback when MCP not available)

# Use when running from terminal or MCP tools unavailable
npx Codex-flow sparc run <mode> "task description"

# For alpha features
npx Codex-flow@alpha sparc run <mode> "task description"

# List all modes
npx Codex-flow sparc modes

# Get help for a mode
npx Codex-flow sparc help <mode>

# Run with options
npx Codex-flow sparc run <mode> "task" --parallel --monitor

Read the full file on GitHub · 186 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. 1mo ago First seen · 186 lines · 24 tokens per session scan A 1fb946263395

Subscribe to this mod's changes

source-command-sparc-sparc-modes is a skill published in the GitHub repository ayushcodes10/echo-mem (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 24 tokens to every session and 1,108 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-12.

Related

Other skills, from other repositories

squish

ALWAYS use this skill when working with agents, memory, context, persistence, or AI agent state. Use when the user mentions: 'the agent forgot', 'save this', 'remember that', 'context is lost', 'memory', 'MCP server', 'agent memory', 'persistent memory', 'session context', 'project context', 'recall', 'remember'…

michielhdoteth/squish-memory · 157 tokens

squish-memory

Persistent memory system for Claude Code. Use when you need to store, recall, or search project memories, facts, decisions, and learnings across sessions. Triggers on: remember, recall, memory, forget, search memories, store context, project knowledge, what did we decide, previous conversation.

michielhdoteth/squish-memory · 0 tokens

postgram

Use the pgm CLI (Postgram) to persist, search, and link knowledge across sessions. Invoke whenever the user wants to remember something across conversations, recall prior context, search their personal knowledge base, track tasks, or explore relationships between stored entities. Assumes pgm is on PATH, PGMAPIURL is…

ivo-toby/postgram · 112 tokens

memanto-companion

Inspect and manage the cross-session engineering memory that Memanto maintains for your Claude Code skills. Use when the user asks what Memanto remembers, wants to see their engineering profile, manually recall context for a skill, or store a decision. The automatic lifecycle hooks handle capture/injection on their…

moorcheh-ai/memanto · 72 tokens

openlore

Query and publish to an OpenLore knowledge repository over SSH using ordinary shell commands. Use when a task needs project documentation, runbooks, shared team knowledge, or a place to publish findings.

aakarim/OpenLore · 42 tokens

system-monitor

Monitor system health: CPU, memory, disk, processes, and network. Alert on thresholds via any channel.

fuyuxiang/echo-agent · 25 tokens