firehose-operation-review

firehose-operation-review is a skill for Claude Code, Codex from aws/tools-for-devops-agent. It costs 145 tokens per session (5,537 once invoked), scanned A, original, Apache-2.0.

An operational review tool for Amazon Data Firehose, an AWS service that sends streaming data to storage or other destinations. It checks delivery streams against AWS reliability, security, performance, cost, and quota guidance using read-only service data.

In plain words
What is it for?
Use it to audit Firehose streams, investigate delivery health or freshness problems, assess operational readiness, and review quotas and cost drivers.
Why use it?
It helps find delivery delays, failures, throttling, security gaps, and avoidable costs without reading delivered records or sending test data. The review produces evidence for human decisions rather than changing the streams.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to audit Firehose streams, investigate delivery health or freshness problems, assess operational readiness, and review quotas and cost drivers.

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Install with agentmods
npx agentmods add skills/aws/tools-for-devops-agent/firehose-operation-review
Install

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.

Any agent
npx skills add aws/tools-for-devops-agent --skill firehose-operation-review
Clone the repo
git clone --depth 1 https://github.com/aws/tools-for-devops-agent

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for firehose-operation-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/aws/tools-for-devops-agent/firehose-operation-review/github.svg)](https://agentmods.dev/skills/aws/tools-for-devops-agent/firehose-operation-review)
Your own site
<a href="https://agentmods.dev/skills/aws/tools-for-devops-agent/firehose-operation-review"><img src="https://agentmods.dev/badge/skills/aws/tools-for-devops-agent/firehose-operation-review/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.

agentmods 80×15 button for firehose-operation-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/aws/tools-for-devops-agent/firehose-operation-review"><img src="https://agentmods.dev/badge/skills/aws/tools-for-devops-agent/firehose-operation-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 145 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,537 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00145 $0.05537
Opus 5.5 $0.00058 $0.02215
Sonnet 5.5 $0.00029 $0.01107
Haiku 4.5 $0.00015 $0.00554

Measured 8d ago against content hash c7870b7937b0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

firehose-operation-review 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.

skills/firehose-operation-review/SKILL.md · 391 lines

How it starts

The opening of the file, as written. The whole thing — 391 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Amazon Data Firehose Operational Review

Conduct a comprehensive operational review of Amazon Data Firehose (formerly Amazon Kinesis Data Firehose) delivery streams aligned with the AWS Well-Architected Framework and Amazon Data Firehose best practices.

This skill uses the Firehose, CloudWatch, and Service Quotas APIs only — all data is collected through native AWS control-plane APIs and CloudWatch metrics. It performs no data-plane record puts and reads no delivered record content.

When to Use

Activate this skill when the user asks to:

  • Review, audit, or assess Amazon Data Firehose delivery streams
  • Check Firehose best-practices compliance
  • Evaluate Firehose security, reliability, delivery health, performance, cost, or quotas
  • Perform a Firehose operational readiness review (ORR)
  • Investigate delivery lag (data freshness), delivery failures, throttling, or cost drivers

Review Checklist

Work through these steps in order — each depends on the outputs of the ones before it. Track progress against this checklist and do not skip a step unless its scope makes it inapplicable (e.g. a single-stream review skips the account rollup).

  • Step 1: Identify target scope (accounts, regions, streams, pillars, window)
  • Step 2: Discover Firehose resources and capture per-stream config
  • Step 3: Collect CloudWatch metrics (load the thresholds reference first)
  • Step 4: Analyze against best practices (load the checklist reference first)
  • Step 5: Generate the report (load the report template)
  • Step 6: Track findings over time (recurring reviews)

Step 1: Identify Target Scope

Ask the user which accounts and regions to review, and whether to focus on a specific delivery stream. Accept:

  • Specific account IDs and regions
  • A specific delivery stream name (or "all streams")
  • "all regions" for a given account
  • A specific pillar or set of checks (e.g. "just reliability and cost"). Map free-text pillar names to this canonical set (accept the listed aliases, case-insensitive): security; reliability (aliases: resiliency, availability, durability); performance (perf); service-quotas (quotas, limits); cost (cost-optimization, cost optimization, finops); operational-excellence (ops, opex, operations); sustainability (green, efficiency). If a requested term matches none of these, ask the user to pick from the canonical list rather than guessing; if the run is unattended, default to all pillars.

Read the full file on GitHub · 391 lines

Files

What ships with it

60 files 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.

Changes

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.

  1. 8d ago First seen · 391 lines · 145 tokens per session scan A c7870b7937b0

Subscribe to this mod's changes

firehose-operation-review is a skill published in the GitHub repository aws/tools-for-devops-agent (107 stars, last pushed today), licensed Apache-2.0. It adds 145 tokens to every session and 5,537 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-10-08.

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