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 seed-forge/harness-ai-kit --skill public-kafka-expert-basegit clone --depth 1 https://github.com/seed-forge/harness-ai-kitWrote 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/seed-forge/harness-ai-kit/public-kafka-expert-base)<a href="https://agentmods.dev/skills/seed-forge/harness-ai-kit/public-kafka-expert-base"><img src="https://agentmods.dev/badge/skills/seed-forge/harness-ai-kit/public-kafka-expert-base/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/seed-forge/harness-ai-kit/public-kafka-expert-base"><img src="https://agentmods.dev/badge/skills/seed-forge/harness-ai-kit/public-kafka-expert-base.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 | $0.00051 | $0.00725 |
| Opus 5 | $0.00026 | $0.00362 |
| Sonnet 5 | $0.00010 | $0.00145 |
| Haiku 4.5 | $0.00005 | $0.00072 |
Grade A, and why
public-kafka-expert-base 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kafka Knowledge Base
Foundational guidance for building event streaming applications with Apache Kafka.
Source: Adapted from confluentinc/agent-skills and Apache Kafka best practices.
Topics & Partitions
- Design topics around domain events (
order.created,payment.completed), not database tables. - Partition count determines max consumer parallelism — start with 3-6, scale up as needed.
- Partitions are ordered; messages within a partition have guaranteed order.
- Use partition keys for related messages that must be ordered (e.g.,
user_idfor user events).
Consumer Groups
- All consumers in a group share the workload (each partition → one consumer).
- Multiple groups can independently consume the same topic (fan-out).
- Consumer offset tracking: committed offsets vs. current position.
- Use
auto.offset.reset=earliestfor new groups that need to process all history.
Producer Configuration
| Setting | Default | Recommended |
|---|---|---|
acks |
1 | all (durability) |
retries |
0 | 3+ (transient failures) |
linger.ms |
0 | 5-100 (batching) |
batch.size |
16KB | 32-64KB (throughput) |
compression.type |
none | lz4 or zstd |
enable.idempotence |
true | always true |
Consumer Configuration
| Setting | Default | Recommended |
|---|---|---|
auto.offset.reset |
latest | earliest (first run) |
enable.auto.commit |
true | false (manual commit) |
max.poll.records |
500 | Tune to processing capacity |
session.timeout.ms |
45s | 10-30s (failure detection) |
heartbeat.interval.ms |
3s | session.timeout / 3 |
Serialization
- Use Avro/Protobuf/JSON Schema with Schema Registry for type safety.
- Never use Java serialization (not cross-language, not forward-compatible).
- StringSerializer/StringDeserializer only for simple text messages.
Exactly-Once Semantics
- Enable
enable.idempotence=trueon producer (prevents duplicates from retries). - Use
isolation.level=read_committedon consumer (read only committed transactions). - For transactional processing:
beginTransaction()→ process →commitTransaction().
What ships with it
3 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 · 64 lines · 51 tokens per session scan A 55ddba01821a
public-kafka-expert-base is a skill published in the GitHub repository seed-forge/harness-ai-kit (22 stars, last pushed 10d ago), licensed Apache-2.0. It adds 51 tokens to every session and 725 once invoked, about $0.0003 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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