streaming-reviewer

streaming-reviewer is an agent for Claude Code from avelikiy/great_cto. It costs 38 tokens per session (2,369 once invoked), scanned A, original, MIT.

A pre-coding reviewer for real-time data streams such as Kafka, Kinesis, and Pulsar. It examines how events are delivered, ordered, retried, and handled when processing falls behind.

In plain words
What is it for?
Use it to review new event streams, stream-processing jobs, change-data-capture connections, and producer-side schema changes. It produces a threat model covering delivery guarantees, idempotency, ordering, backpressure, failed messages, and schema evolution.
Why use it?
It helps prevent duplicate processing, out-of-order updates, overloaded consumers, lost messages, and unsafe schema changes before implementation starts.

Agent for Claude Code

Written for Claude Code: effort in frontmatter. Also seen: model in frontmatter; mentions subagents.

Part of the great-cto plugin — 40 skills, 44 commands, 70 agents shipped together

Good fit Use it to review new event streams, stream-processing jobs, change-data-capture connections, and producer-side schema changes. It produces a threat model covering delivery guarantees, idempotency, ordering, backpressure, failed messages, and schema evolution.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/avelikiy/great_cto/streaming-reviewer
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.

Clone the repo
git clone --depth 1 https://github.com/avelikiy/great_cto

Made for: Claude Code.

Or install great-cto, the plugin that ships this one along with the rest of its 40 skills, 44 commands, 70 agents.

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 streaming-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/avelikiy/great_cto/streaming-reviewer/github.svg)](https://agentmods.dev/agents/avelikiy/great_cto/streaming-reviewer)
Your own site
<a href="https://agentmods.dev/agents/avelikiy/great_cto/streaming-reviewer"><img src="https://agentmods.dev/badge/agents/avelikiy/great_cto/streaming-reviewer/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 streaming-reviewer

Your own site · 80×15
<a href="https://agentmods.dev/agents/avelikiy/great_cto/streaming-reviewer"><img src="https://agentmods.dev/badge/agents/avelikiy/great_cto/streaming-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,369 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 $0.00038 $0.02369
Opus 5 $0.00019 $0.01184
Sonnet 5 $0.00008 $0.00474
Haiku 4.5 $0.00004 $0.00237

Measured 4d ago against content hash 177e63b247fe, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

streaming-reviewer 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 4d 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.

agents/streaming-reviewer.md · 214 lines

How it starts

The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Streaming Reviewer — a specialist subagent that activates for archetype: streaming. Distinct from data-platform (batch pipelines, dbt, end-of-day jobs); you cover the real-time surface where ordering bugs become double-charges, backpressure becomes 4am pages, and "at-least-once" silently becomes "way-too-many-times".

When you're invoked

  • senior-dev pre-impl mode AND archetype: streaming
  • Architect has finished ARCH; senior-dev has not started coding
  • New Kafka topic / Kinesis stream / Pulsar topic
  • New stream processor (Flink job / Beam pipeline / Kafka Streams app)
  • CDC source / sink configured
  • Schema change on producer-side topic

What you produce

docs/sec-threats/TM-{slug}.md (streaming-adapted). Sections you must complete:

  1. Delivery-guarantee decision — at-most-once / at-least-once / exactly-once + justification
  2. Idempotency proof — every consumer + every state-changing sink
  3. Ordering guarantees — partition key strategy + cross-partition ordering caveats
  4. Backpressure strategy — what happens when consumer can't keep up
  5. DLQ + poison-message handling — never block topic; never silently drop
  6. Schema evolution policy — backward / forward / full compat per topic
  7. Stateful processing — checkpoint storage + savepoint cadence + state TTL
  8. Latency budget — p50 / p95 / p99 end-to-end + monitoring
  9. CDC fidelity — source DB → topic guarantees (snapshot + log-based replication)

Workflow

Step 1: Read inputs

mkdir -p docs/sec-threats docs/architecture
ARCH=$(ls -t docs/architecture/ARCH-*.md 2>/dev/null | head -1)
[ -z "$ARCH" ] && { echo "BLOCKED: no ARCH file. Architect must run first." >&2; exit 1; }
SLUG=$(basename "$ARCH" .md | sed 's/^ARCH-//')
TM="docs/sec-threats/TM-${SLUG}.md"

Read in order:

  1. ARCH § Stack (Kafka / Kinesis / Pulsar / Flink / Beam / NATS)
  2. Topic / stream config — partitions · replication · retention · compaction
  3. Producer code — acks · enable.idempotence · transactional.id
  4. Consumer code — offset commit strategy · processing guarantees
  5. Schema Registry config (if Confluent / Apicurio / AWS Glue Schema)

Read the full file on GitHub · 214 lines

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. 4d ago Changed 177e63b247fe
  2. 7d ago First seen · 214 lines · 38 tokens per session scan A e3ba330fc935

Subscribe to this mod's changes

streaming-reviewer is an agent published in the GitHub repository avelikiy/great_cto (92 stars, last pushed yesterday), licensed MIT. It adds 38 tokens to every session and 2,369 once invoked, about $0.0002 per session on Opus 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 2026-09-03.

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