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/cookiemonsterdev/agents-skills/kafka-docsnpx skills add cookieMonsterDev/agents-skills --skill kafka-docsgit clone --depth 1 https://github.com/cookieMonsterDev/agents-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/cookiemonsterdev/agents-skills/kafka-docs)<a href="https://agentmods.dev/skills/cookiemonsterdev/agents-skills/kafka-docs"><img src="https://agentmods.dev/badge/skills/cookiemonsterdev/agents-skills/kafka-docs.svg" alt="Measured on agentmods" 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 | $0.00103 | $0.01176 |
| Opus 5 | $0.00051 | $0.00588 |
| Sonnet 5 | $0.00021 | $0.00235 |
| Haiku 4.5 | $0.00010 | $0.00118 |
Grade A, and why
kafka-docs 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 6d 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kafka questions are easy to answer from stale memory or ZooKeeper-era patterns. Use this skill to ground answers in the official Apache Kafka 4.3 documentation and return the closest authoritative page instead of generic messaging advice.
When to Use
Use this skill when the request is about:
- Kafka concepts, terminology, events, topics, partitions, and replication
- Producers, consumers, consumer groups, offsets, and delivery semantics
- Broker configuration, topic configuration, and cluster operations
- KRaft mode, controller quorum, and migration from ZooKeeper
- Security: listeners, SSL/TLS, SASL, and ACLs
- Kafka Connect connectors, source/sink integration, and connector development
- Kafka Streams applications, state stores, windowing, and processing guarantees
- Monitoring, hardware sizing, datacenter deployment, and geo-replication
- Tiered storage, transactions, and consumer rebalance protocol
- Upgrading Kafka, compatibility, and Docker deployment
Do not use this skill for:
- A different Kafka major/minor version when the user explicitly needs that version. Say which version you are using and offer to switch docs if needed.
- Managed AWS MSK console operations when the question is provider-specific rather than Kafka behavior. Use
aws-cli-docsfor AWS CLI commands against MSK. - Redis streams or pub/sub. Use
redis-docsinstead. - Third-party client library APIs not covered by Kafka docs unless the question is about core Kafka protocol or configuration behavior.
Workflow
1. Classify the request
Decide which bucket the question belongs to before searching:
- Getting started and quickstart
- Core design and protocol concepts
- Producer, consumer, and admin client configuration
- Broker, topic, and group configuration
- Cluster operations and scaling
- KRaft and metadata management
- Security and ACLs
- Kafka Connect
- Kafka Streams
- Monitoring, hardware, and production operations
- Upgrading, compatibility, and migration
If you need a quick starting point, load references/topic-map.md and jump to the closest section.
What ships with it
2 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.
- 6d ago First seen · 106 lines · 103 tokens per session scan A f2b74d3b4896
kafka-docs is a skill published in the GitHub repository cookieMonsterDev/agents-skills (4 stars, last pushed 16d ago), licensed MIT. It adds 103 tokens to every session and 1,176 once invoked, about $0.0005 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 2026-08-31.
Other skills, from other repositories
agent-platform-rag-engine-management
Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google…
gke-reliability
Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for disaster recovery setup or full cluster backups (use gke-backup-dr instead).
gke-workload-security
Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running cluster security audits (auditcluster.sh), configuring Workload Identity Federation (impersonation, KSA/GSA binding, and pod setup), enforcing Network Policies (default-deny…
agent-platform-model-registry
Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.
google-cloud-solution-agentic-analytics-spark-knowledge-catalog
Discovers requirements and generates guidance to design and deploy a governed, secure agentic-analytics solution for data that's distributed across Google Cloud, other cloud providers, or on-premises. Data that's outside Google Cloud (such as data from Databricks, Snowflake, Salesforce, SAP, or Oracle systems) is…
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…