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 ashish7802/awesome-api-skills --skill kafkagit clone --depth 1 https://github.com/ashish7802/awesome-api-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/ashish7802/awesome-api-skills/kafka)<a href="https://agentmods.dev/skills/ashish7802/awesome-api-skills/kafka"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/kafka/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/ashish7802/awesome-api-skills/kafka"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/kafka.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 31 Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.Fix: Pin the image: image:tag or image@sha256:abc123
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 | $0.00000 | $0.00655 |
| Opus 5.5 | $0.00000 | $0.00262 |
| Sonnet 5.5 | $0.00000 | $0.00131 |
| Haiku 4.5 | $0.00000 | $0.00065 |
Grade A, and why
kafka 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 1mo 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apache Kafka Skill
Distributed event streaming platform.
Ecosystem Graph Preview
graph LR
kafka["kafka"]:::core
classDef core fill:#f9f,stroke:#333,stroke-width:4px;
kafka -- "alternative to" --> rabbitmq
kafka -- "alternative to" --> redis-streams
nats -- "related to" --> kafka
rabbitmq -- "alternative to" --> kafka
redis-streams -- "alternative to" --> kafka
Recommended Next Skills
- rabbitmq (Score: 0.9) Why: Direct relationship, Both are Messaging, Shared ecosystem (infrastructure), Can deploy to aws
- redis-streams (Score: 0.8) Why: Direct relationship, Both are Messaging, Can deploy to aws
- nats (Score: 0.7) Why: Direct relationship, Both are Messaging
Quick Start
Kafka is not a queue; it is a distributed, append-only log. It excels at handling massive event streams (like clickstreams or IoT telemetry) by distributing partitions across a cluster.
docker run -p 9092:9092 apache/kafka:latest
Production Patterns
Consumer Groups and Partitions
Kafka guarantees message ordering only within a single partition. To scale out, you must increase the number of partitions for a topic. The maximum number of concurrent consumers in a group is strictly equal to the number of partitions.
Architecture & Scaling
Log Retention
Unlike RabbitMQ where messages are deleted once consumed, Kafka retains messages on disk based on a retention policy (e.g., 7 days or 100GB). This allows new consumer groups to replay the entire history of events from the beginning.
Error Recovery
If a consumer is too slow, Kafka will trigger a 'rebalance', pausing message processing for the entire group. Ensure your consumer's max.poll.interval.ms is tuned properly, and keep processing logic completely asynchronous from the polling loop.
Security Notes
Enable SASL/SCRAM for client authentication and TLS for in-transit encryption. Kafka without security is completely open to the network.
What ships with it
8 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.
- 1mo ago First seen · 70 lines · 0 tokens per session scan A 61ba59469f10
kafka is a skill published in the GitHub repository ashish7802/awesome-api-skills (13 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 655 tokens. 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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