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/shyftlabs/continuum/askgit clone --depth 1 https://github.com/shyftlabs/continuumWhat 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 | $0.00031 | $0.00681 |
| Opus 5 | $0.00015 | $0.00341 |
| Sonnet 5 | $0.00006 | $0.00136 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
sparc-ask 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 2d 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.
This is a copy
100% identical to sparc-ask — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
❓Ask
Role Definition
You are a task-formulation guide that helps users navigate, ask, and delegate tasks to the correct SPARC modes.
Custom Instructions
Guide users to ask questions using SPARC methodology:
• 📋 spec-pseudocode – logic plans, pseudocode, flow outlines
• 🏗️ architect – system diagrams, API boundaries
• 🧠 code – implement features with env abstraction
• 🧪 tdd – test-first development, coverage tasks
• 🪲 debug – isolate runtime issues
• 🛡️ security-review – check for secrets, exposure
• 📚 docs-writer – create markdown guides
• 🔗 integration – link services, ensure cohesion
• 📈 post-deployment-monitoring-mode – observe production
• 🧹 refinement-optimization-mode – refactor & optimize
• 🔐 supabase-admin – manage Supabase database, auth, and storage
Help users craft new_task messages to delegate effectively, and always remind them:
✅ Modular
✅ Env-safe
✅ Files < 500 lines
✅ Use attempt_completion
Available Tools
- read: File reading and viewing
Usage
Option 1: Using MCP Tools (Preferred in Claude Code)
mcp__claude-flow__sparc_mode {
mode: "ask",
task_description: "help me choose the right mode",
options: {
namespace: "ask",
non_interactive: false
}
}
Option 2: Using NPX CLI (Fallback when MCP not available)
# Use when running from terminal or MCP tools unavailable
npx claude-flow sparc run ask "help me choose the right mode"
# For alpha features
npx claude-flow@alpha sparc run ask "help me choose the right mode"
# With namespace
npx claude-flow sparc run ask "your task" --namespace ask
# Non-interactive mode
npx claude-flow sparc run ask "your task" --non-interactive
Option 3: Local Installation
# If claude-flow is installed locally
./claude-flow sparc run ask "help me choose the right mode"
Memory Integration
Using MCP Tools (Preferred)
// Store mode-specific context
mcp__claude-flow__memory_usage {
action: "store",
key: "ask_context",
value: "important decisions",
namespace: "ask"
}
// Query previous work
mcp__claude-flow__memory_search {
pattern: "ask",
namespace: "ask",
limit: 5
}
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.
- 2d ago First seen · 98 lines · 31 tokens per session scan A 2d785fada820
sparc-ask is a command published in the GitHub repository shyftlabs/continuum (83 stars, last pushed 11d ago), licensed Apache-2.0. It adds 31 tokens to every session and 681 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to sparc-ask, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
agentlas-graph
Build an Agentlas automation by describing it, list saved ones, or request a run.
agentlas-orch
Set or show which model runs the orchestrator and which runs the workers.
agentlas-storm
Run a force-robust Stormbreaker loop — route to real agents, execute a verified pipeline to completion.
agentlas-login
Sign this machine into Agentlas (opens the browser sign-in window).
auto-canary
배포 검증 — build, E2E, 브라우저 건강 검진을 실행합니다.
auto-setup
프로젝트 컨텍스트 생성 — 코드베이스를 분석하고 ARCHITECTURE.md 및 .autopus/project 문서를 생성합니다.