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 skills add Kilo-Org/kilo-marketplace --skill cdc-streaming-pipelinegit clone --depth 1 https://github.com/Kilo-Org/kilo-marketplaceWrote 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/skills/kilo-org/kilo-marketplace/cdc-streaming-pipeline)<a href="https://agentmods.dev/skills/kilo-org/kilo-marketplace/cdc-streaming-pipeline"><img src="https://agentmods.dev/badge/skills/kilo-org/kilo-marketplace/cdc-streaming-pipeline/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/skills/kilo-org/kilo-marketplace/cdc-streaming-pipeline"><img src="https://agentmods.dev/badge/skills/kilo-org/kilo-marketplace/cdc-streaming-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00174 | $0.06466 |
| Opus 5 | $0.00087 | $0.03233 |
| Sonnet 5 | $0.00035 | $0.01293 |
| Haiku 4.5 | $0.00017 | $0.00647 |
Grade A, and why
cdc-streaming-pipeline 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 691 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CDC streaming pipeline (Kinesis -> Redshift Serverless / S3)
This skill captures the lived patterns for building a real-time CDC pipeline: a transactional source publishes change events to Kinesis, a Lambda consumer applies them to a sink (Redshift Serverless event log, or S3 / Iceberg via Firehose). It is source-agnostic: the producer-side notes are split into "any CDC source" and "Aurora DSQL preview" callouts.
When to use
- You are wiring up a CDC pipeline from Aurora DSQL, Aurora Postgres, or RDS to Kinesis Data Streams (or MSK) with a Lambda consumer.
- You need to write the consumer Lambda that pushes CDC rows into Redshift Serverless via the Redshift Data API.
- You are deciding how to model CDC events at the sink (append-only vs in-place upsert, how to absorb schema drift).
- You want the operational gotchas (parameter limits, async statement polling, retries, poison records) before you debug them.
When NOT to use
- You only need the lakehouse / cold-path target (S3 Tables, Iceberg,
Redshift external schema, federated Glue catalogs). Use the
firehose-iceberg-pipelineandlakehouse-redshiftskills for those. - You want generic Redshift Serverless setup unrelated to CDC (workgroup sizing, RPU pricing, snapshot policy). Out of scope here.
- You are doing batch ETL / DMS full-load. CDC is for ongoing change capture; bulk loads belong elsewhere.
- You need EMR / Glue / Spark transforms inside the stream. This skill uses Lambda + Redshift Data API.
If you ARE building the cold path on top of this hot path, ALSO load
firehose-iceberg-pipeline (it covers the Firehose -> S3 Tables -> Iceberg
side) and lakehouse-redshift (it covers the Redshift external schema +
hot/cold UNION view).
Architecture in one paragraph
Source DB -> CDC stream (DSQL CDC, DMS, Debezium, or an RDS native CDC
mechanism) -> Kinesis Data Stream -> Lambda event source mapping ->
parameterized INSERTs into a Redshift Serverless append-only cdc_events
log table -> per-source-table *_current views reconstruct current state
via ROW_NUMBER() OVER (PARTITION BY pk ORDER BY commit_ts DESC).
What ships with it
4 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.
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.
- 11d ago First seen · 691 lines · 174 tokens per session scan A 176eb14508b8
cdc-streaming-pipeline is a skill published in the GitHub repository Kilo-Org/kilo-marketplace (175 stars, last pushed 21d ago), licensed Apache-2.0. It adds 174 tokens to every session and 6,466 once invoked, about $0.0009 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 2026-08-30.
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