AI Agent Skills by Confluent is a collection of skills for building Kafka producers, Flink applications, and real-time data-streaming pipelines. Developers use it with coding assistants when creating applications and pipelines on Confluent. The catalogue entries are its skills, plugin, and instruction.
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 confluentinc/agent-skills --skill confluent-tuning-advisorgit clone --depth 1 https://github.com/confluentinc/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/confluentinc/agent-skills/confluent-tuning-advisor)<a href="https://agentmods.dev/skills/confluentinc/agent-skills/confluent-tuning-advisor"><img src="https://agentmods.dev/badge/skills/confluentinc/agent-skills/confluent-tuning-advisor/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/confluentinc/agent-skills/confluent-tuning-advisor"><img src="https://agentmods.dev/badge/skills/confluentinc/agent-skills/confluent-tuning-advisor.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 | $0.00193 | $0.04660 |
| Opus 5.5 | $0.00077 | $0.01864 |
| Sonnet 5.5 | $0.00039 | $0.00932 |
| Haiku 4.5 | $0.00019 | $0.00466 |
Grade A, and why
confluent-tuning-advisor 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 — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Confluent Tuning Advisor
Turns a workload's priority (latency, throughput, availability, or durability) into a concrete, platform-appropriate recommendation: which Kafka settings to change, from what to what, why, what it trades against, and how the administrator should validate it afterward. Targets Confluent Cloud and Confluent Platform only. Kafka only — Flink (including Flink SQL job tuning) is out of scope; see the "Do NOT trigger" clause in the description.
These four priorities are not independent — every recommendation trades against at least one other axis. The core job of this skill is to make that trade-off explicit, not to pretend a free lunch exists.
Advisory-only — this skill never changes anything. It may inspect configuration and runtime state (read-only) and propose changes. It must never apply changes, run write/produce operations, or otherwise mutate a broker, topic, or client — the administrator or developer is solely responsible for reviewing and applying any recommendation. Keep recommendation and execution strictly separate: present the proposed change, do not ask for permission to apply it, do not apply it, and never state or imply that a change has been made. This skill ships no executable scripts; the only actions it takes are read-only config/metric inspection via the Confluent CLI, an MCP server, or the Kafka REST v3 / REST Proxy v3 and Cloud Metrics APIs.
When to read which file
| Situation | Read this |
|---|---|
| User is targeting Confluent Cloud | references/confluent-cloud.md |
| User is targeting Confluent Platform (self-managed) | references/confluent-platform.md |
| Any config knob lookup by priority (producer/consumer/topic/broker) | references/tuning-parameters.md |
| Verifying a Platform change, or choosing which broker JMX metric proves it worked (Step 7) | references/monitoring.md |
| Verifying a Cloud change, or choosing which metric proves it worked (Step 7) | references/confluent-cloud.md for server-side metrics; use references/monitoring.md only for the client-metrics sections |
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.
- 1mo ago First seen · 309 lines · 193 tokens per session scan A 68854ab7d338
confluent-tuning-advisor is a skill published in the GitHub repository confluentinc/agent-skills (59 stars, last pushed yesterday), licensed Apache-2.0. It adds 193 tokens to every session and 4,660 once invoked, about $0.0008 per session on Opus 5.5. 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 2026-09-25.
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