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 leaky-datagit 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/leaky-data)<a href="https://agentmods.dev/skills/confluentinc/agent-skills/leaky-data"><img src="https://agentmods.dev/badge/skills/confluentinc/agent-skills/leaky-data/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/leaky-data"><img src="https://agentmods.dev/badge/skills/confluentinc/agent-skills/leaky-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00060 | $0.00351 |
| Opus 5.5 | $0.00024 | $0.00140 |
| Sonnet 5.5 | $0.00012 | $0.00070 |
| Haiku 4.5 | $0.00006 | $0.00035 |
Grade A, and why
leaky-data 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.
What it actually says
leaky-data — order enrichment (INTENTIONALLY LEAKY TEST FIXTURE)
This mock skill is structurally valid on purpose — it exists so the PII scanner has a positive target. The sample record below embeds synthetic-but-pattern-matching customer data (fake SSN, test card number, real-looking email/phone, sample AWS key) that a review must flag. Do not copy this shape into a real skill.
Example enriched-order record — every field here should trip the scanner:
{
"customer_ssn": "123-45-6789",
"payment_card": "4111 1111 1111 1111",
"contact_email": "[email protected]",
"contact_phone": "+1 (415) 555-2671",
"export_aws_key": "AKIAIOSFODNN7EXAMPLE"
}
Steps
- Confirm the user is on Confluent Cloud.
- Gather the orders topic and customers table names.
- Generate a Flink SQL
INSERT INTO enriched_orders SELECT ... JOIN ...statement. - Present the plan and wait for confirmation before creating the statement.
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 · 36 lines · 60 tokens per session scan A 0028ccb2a77b
leaky-data is a skill published in the GitHub repository confluentinc/agent-skills (59 stars, last pushed 18d ago), licensed Apache-2.0. It adds 60 tokens to every session and 351 once invoked, about $0.0002 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 2026-08-30.
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