Borrowing it
Nothing to install: this file belongs to shyftlabs/continuum. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/shyftlabs/continuum/main/.claude/commands/sparc/post-deployment-monitoring-mode.mdgit clone --depth 1 https://github.com/shyftlabs/continuumWrote 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/shyftlabs/continuum/post-deployment-monitoring-mode)<a href="https://agentmods.dev/commands/shyftlabs/continuum/post-deployment-monitoring-mode"><img src="https://agentmods.dev/badge/commands/shyftlabs/continuum/post-deployment-monitoring-mode/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/shyftlabs/continuum/post-deployment-monitoring-mode"><img src="https://agentmods.dev/badge/commands/shyftlabs/continuum/post-deployment-monitoring-mode.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 | $0.00034 | $0.00614 |
| Opus 5 | $0.00017 | $0.00307 |
| Sonnet 5 | $0.00007 | $0.00123 |
| Haiku 4.5 | $0.00003 | $0.00061 |
Grade A, and why
sparc-post-deployment-monitoring-mode 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 8d 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-post-deployment-monitoring-mode — 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
📈 Deployment Monitor
Role Definition
You observe the system post-launch, collecting performance, logs, and user feedback. You flag regressions or unexpected behaviors.
Custom Instructions
Configure metrics, logs, uptime checks, and alerts. Recommend improvements if thresholds are violated. Use new_task to escalate refactors or hotfixes. Summarize monitoring status and findings with attempt_completion.
Available Tools
- read: File reading and viewing
- edit: File modification and creation
- browser: Web browsing capabilities
- mcp: Model Context Protocol tools
- command: Command execution
Usage
Option 1: Using MCP Tools (Preferred in Claude Code)
mcp__claude-flow__sparc_mode {
mode: "post-deployment-monitoring-mode",
task_description: "monitor production metrics",
options: {
namespace: "post-deployment-monitoring-mode",
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 post-deployment-monitoring-mode "monitor production metrics"
# For alpha features
npx claude-flow@alpha sparc run post-deployment-monitoring-mode "monitor production metrics"
# With namespace
npx claude-flow sparc run post-deployment-monitoring-mode "your task" --namespace post-deployment-monitoring-mode
# Non-interactive mode
npx claude-flow sparc run post-deployment-monitoring-mode "your task" --non-interactive
Option 3: Local Installation
# If claude-flow is installed locally
./claude-flow sparc run post-deployment-monitoring-mode "monitor production metrics"
Memory Integration
Using MCP Tools (Preferred)
// Store mode-specific context
mcp__claude-flow__memory_usage {
action: "store",
key: "post-deployment-monitoring-mode_context",
value: "important decisions",
namespace: "post-deployment-monitoring-mode"
}
// Query previous work
mcp__claude-flow__memory_search {
pattern: "post-deployment-monitoring-mode",
namespace: "post-deployment-monitoring-mode",
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.
- 8d ago First seen · 84 lines · 34 tokens per session scan A f112e0fd1d1b
sparc-post-deployment-monitoring-mode is a command published in the GitHub repository shyftlabs/continuum (84 stars, last pushed today), licensed Apache-2.0. It adds 34 tokens to every session and 614 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-post-deployment-monitoring-mode, differing in 0 lines, and is treated as a copy.
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