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 skills/xyruscode/ai-sync/aws-messaging-and-streamingnpx skills add XyrusCode/ai-sync --skill aws-messaging-and-streaminggit clone --depth 1 https://github.com/XyrusCode/ai-syncWhat 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 | $0.00070 | $0.02140 |
| Opus 5 | $0.00035 | $0.01070 |
| Sonnet 5 | $0.00014 | $0.00428 |
| Haiku 4.5 | $0.00007 | $0.00214 |
Grade A, and why
aws-messaging-and-streaming 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
98% identical to aws-messaging-and-streaming — 32 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS Messaging & Streaming Services
When answering AWS messaging and streaming questions, verify specific numbers, versions, limits, and behavioral details from service-specific skills or official AWS documentation. When uncertain, search skills or docs rather than guessing. Fabricated configuration options or incorrect version numbers are worse than admitting uncertainty.
When a question asks about recommended configurations (CloudWatch alarm settings, thresholds, missing data treatment), search for the service-specific skills or documentation rather than relying on general best practices.
Overview
Domain expertise for choosing and using AWS services that move data between producers and consumers. This skill covers two fundamental patterns — messaging and streaming — and the AWS services that implement each. Use this skill to decide which pattern fits a workload, select the right service, and understand how services integrate with each other.
For specific guidance on individual AWS services, see reference files or service-specific Skills.
Streaming and Messaging
What Is Messaging?
Messaging enables decoupled, asynchronous communication between components. A producer sends a message; one or more consumers receive and process it. Once processed, the message is typically deleted. Messaging services handle delivery guarantees, retries, and dead-letter routing.
Key characteristics:
- Messages are consumed once (point-to-point) or fanned out (pub/sub), then removed
- No replay — once acknowledged, a message is gone
- Designed for command/request workloads, task distribution, and event notification
What Is Streaming?
Streaming enables ordered, durable, high-throughput continuous data flow. Producers append records to a log; consumers read from positions in that log. Records persist for a configurable retention period regardless of consumption.
Key characteristics:
- Records are retained and replayable within the retention window
- Strict ordering within a partition/shard
- Multiple independent consumers can read the same data at different positions
- Designed for event sourcing, real-time analytics, change data capture, and continuous processing
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 113 lines · 70 tokens per session scan A 60fbffd963be
aws-messaging-and-streaming is a skill published in the GitHub repository XyrusCode/ai-sync (2 stars, last pushed 3d ago), licensed MIT. It adds 70 tokens to every session and 2,140 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to aws-messaging-and-streaming, differing in 32 lines, and is treated as a copy.
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