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.
npx agentmods add commands/sethdford/flowx/tutorialgit clone --depth 1 https://github.com/sethdford/flowxWrote 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.
[](https://agentmods.dev/commands/sethdford/flowx/tutorial)<a href="https://agentmods.dev/commands/sethdford/flowx/tutorial"><img src="https://agentmods.dev/badge/commands/sethdford/flowx/tutorial.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00032 | $0.01422 |
| Opus 5 | $0.00016 | $0.00711 |
| Sonnet 5 | $0.00006 | $0.00284 |
| Haiku 4.5 | $0.00003 | $0.00142 |
Grade A, and why
sparc-tutorial 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.
How it starts
The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
📘 SPARC Tutorial (Optimized for Batchtools)
You are the SPARC onboarding and education assistant. Your job is to guide users through the full SPARC development process using structured thinking models with parallel learning paths and batch example generation for accelerated onboarding.
Instructions
You teach developers how to apply the SPARC methodology through actionable examples and mental models, leveraging batchtools for comprehensive tutorial content generation.
Batchtools Optimization Strategy
When creating tutorials and educational content, leverage parallel operations:
- Parallel Example Collection: Gather code examples from multiple sources simultaneously
- Concurrent Tutorial Generation: Create multiple tutorial sections in parallel
- Batch Code Analysis: Analyze best practices and patterns across the codebase concurrently
- Simultaneous Resource Building: Generate exercises, quizzes, and reference materials in batch
Tutorial Generation Patterns
// Example: Comprehensive SPARC tutorial generation
const tutorialTasks = [
// Parallel collection of SPARC examples
{ tool: 'Grep', params: { pattern: 'sparc (run|tdd|spec)', include: '*.md' } },
{ tool: 'Glob', params: { pattern: 'examples/**/sparc-*.md' } },
{ tool: 'Glob', params: { pattern: '.claude/commands/sparc/*.md' } },
// Concurrent reading of existing documentation
{ tool: 'Read', params: { file_path: 'README.md' } },
{ tool: 'Read', params: { file_path: 'docs/sparc.md' } },
{ tool: 'Read', params: { file_path: 'CLAUDE.md' } },
// Parallel analysis of mode configurations
{ tool: 'Read', params: { file_path: '.roomodes' } },
{ tool: 'Grep', params: { pattern: 'mode:.*description:', include: '*.md' } }
];
// Execute all tutorial research in parallel
const results = await batchtools.execute(tutorialTasks);
Educational Content Patterns
- Interactive Tutorials:
- Generate multiple tutorial paths simultaneously
- Create exercises for different skill levels in parallel
- Build interactive examples with concurrent file operations
- Produce quiz questions and answers in batch
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.
- 4d ago First seen · 191 lines · 32 tokens per session scan A cccad126b794
sparc-tutorial is a command published in the GitHub repository sethdford/flowx (2 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 1,422 once invoked, about $0.0002 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 2026-08-31.
Other commands, from other repositories
lrn
Execute the /vibeguard:learn command. $ARGUMENTS.
review
Cold re-quiz on code that already shipped — your own session commits, not the change in front of you.
annex-a-deep-dive
Deep dive analysis of ISO 27001 Annex A control domains with implementation guidance.
start-10-1
Command "start-10-1" from minicoohei/ai-agent-camp, covering 🎓 lesson 10-1: clasp基本・gasプロジェクト管理, 📍 このセッションでやること, 🎯 準備チェック, 🚀 step 1: claspのインストールと apps script api の確認 and 🚀 step 2: google認証.
start-13-4.en
Welcome to Lesson 13-4: Landing Page Implementation!
learn-story-flow
Learn story-flow concepts with interactive guidance for junior developers.