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 vaquarkhan/data-engineering-agent-skills --skill debezium-and-kafka-connect-cdcgit clone --depth 1 https://github.com/vaquarkhan/data-engineering-agent-skillsWrote 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/vaquarkhan/data-engineering-agent-skills/debezium-and-kafka-connect-cdc)<a href="https://agentmods.dev/skills/vaquarkhan/data-engineering-agent-skills/debezium-and-kafka-connect-cdc"><img src="https://agentmods.dev/badge/skills/vaquarkhan/data-engineering-agent-skills/debezium-and-kafka-connect-cdc/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/vaquarkhan/data-engineering-agent-skills/debezium-and-kafka-connect-cdc"><img src="https://agentmods.dev/badge/skills/vaquarkhan/data-engineering-agent-skills/debezium-and-kafka-connect-cdc.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 | $0.00045 | $0.01050 |
| Opus 5 | $0.00023 | $0.00525 |
| Sonnet 5 | $0.00009 | $0.00210 |
| Haiku 4.5 | $0.00005 | $0.00105 |
Grade A, and why
debezium-and-kafka-connect-cdc 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 12d 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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Debezium And Kafka Connect CDC
Overview
Use this skill when database changes must be captured and delivered through Debezium and Kafka Connect. It helps agents define connector safety, snapshot behavior, schema handling, and downstream CDC contracts.
When to Use
- setting up
Debeziumconnectors forPostgreSQL,MySQL,MongoDB,SQL Server, orOracle - designing Kafka-based CDC from transactional databases
- handling initial snapshots, incremental streaming, and connector recovery
- feeding downstream stream processors, lakehouse sinks, or search indexes
- managing schema evolution when source tables change
Do not use this when changes can be captured through application-level events or batch extracts are sufficient for freshness requirements.
Workflow
-
Define source tables, keys, and change event semantics. Include:
- which tables to capture and which to exclude
- primary key and unique key strategy for each table
- expected change operations: inserts, updates, deletes, truncates
- whether tombstone records are needed for compacted topics
- expected change volume and peak throughput
-
Plan snapshot behavior explicitly.
- initial snapshot: full table scan on first connector start
- define snapshot mode:
initial,schema_only,never, orwhen_needed - understand lock behavior during snapshot (especially for
PostgreSQLandMySQL) - plan for snapshot duration on large tables — can take hours
- document what happens if a snapshot is interrupted
-
Configure connector for operational resilience.
- set appropriate
max.batch.sizeandpoll.interval.ms - configure heartbeat intervals to prevent WAL/binlog retention issues
- define slot or binlog retention policies on the source database
- plan for connector task failures and automatic restarts
- monitor connector lag and offset position
- set appropriate
-
Define topic contracts and downstream expectations.
- topic naming convention:
{prefix}.{schema}.{table} - event envelope format: include before/after, operation type, source metadata
- schema registry integration for event contracts
- retention and compaction policy per topic
- document which consumers depend on each topic
- topic naming convention:
What ships with it
5 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.
- 12d ago First seen · 94 lines · 45 tokens per session scan A c2199ad8bcb8
debezium-and-kafka-connect-cdc is a skill published in the GitHub repository vaquarkhan/data-engineering-agent-skills (45 stars, last pushed 3mo ago), licensed MIT. It adds 45 tokens to every session and 1,050 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 2026-08-30.
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