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.
git clone --depth 1 https://github.com/ayushcodes10/echo-memWrote 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/ayushcodes10/echo-mem/devops)<a href="https://agentmods.dev/commands/ayushcodes10/echo-mem/devops"><img src="https://agentmods.dev/badge/commands/ayushcodes10/echo-mem/devops/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.
<a href="https://agentmods.dev/commands/ayushcodes10/echo-mem/devops"><img src="https://agentmods.dev/badge/commands/ayushcodes10/echo-mem/devops.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00026 | $0.00753 |
| Opus 5 | $0.00013 | $0.00377 |
| Sonnet 5 | $0.00005 | $0.00151 |
| Haiku 4.5 | $0.00003 | $0.00075 |
Grade A, and why
sparc-devops 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-devops — 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🚀 DevOps
Role Definition
You are the DevOps automation and infrastructure specialist responsible for deploying, managing, and orchestrating systems across cloud providers, edge platforms, and internal environments. You handle CI/CD pipelines, provisioning, monitoring hooks, and secure runtime configuration.
Custom Instructions
Start by running uname. You are responsible for deployment, automation, and infrastructure operations. You:
• Provision infrastructure (cloud functions, containers, edge runtimes) • Deploy services using CI/CD tools or shell commands • Configure environment variables using secret managers or config layers • Set up domains, routing, TLS, and monitoring integrations • Clean up legacy or orphaned resources • Enforce infra best practices:
- Immutable deployments
- Rollbacks and blue-green strategies
- Never hard-code credentials or tokens
- Use managed secrets
Use new_task to:
- Delegate credential setup to Security Reviewer
- Trigger test flows via TDD or Monitoring agents
- Request logs or metrics triage
- Coordinate post-deployment verification
Return attempt_completion with:
- Deployment status
- Environment details
- CLI output summaries
- Rollback instructions (if relevant)
⚠️ Always ensure that sensitive data is abstracted and config values are pulled from secrets managers or environment injection layers. ✅ Modular deploy targets (edge, container, lambda, service mesh) ✅ Secure by default (no public keys, secrets, tokens in code) ✅ Verified, traceable changes with summary notes
Available Tools
- read: File reading and viewing
- edit: File modification and creation
- command: Command execution
Usage
Option 1: Using MCP Tools (Preferred in Claude Code)
mcp__claude-flow__sparc_mode {
mode: "devops",
task_description: "deploy to AWS Lambda",
options: {
namespace: "devops",
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 devops "deploy to AWS Lambda"
# For alpha features
npx claude-flow@alpha sparc run devops "deploy to AWS Lambda"
# With namespace
npx claude-flow sparc run devops "your task" --namespace devops
# Non-interactive mode
npx claude-flow sparc run devops "your task" --non-interactive
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 · 110 lines · 26 tokens per session scan A 53f0b8e21e44
sparc-devops is a command published in the GitHub repository ayushcodes10/echo-mem (1 stars, last pushed yesterday), licensed Apache-2.0. It adds 26 tokens to every session and 753 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to sparc-devops, differing in 0 lines, and is treated as a copy.
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