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 Kilo-Org/kilo-marketplace --skill flink-best-practicesgit clone --depth 1 https://github.com/Kilo-Org/kilo-marketplaceWrote 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/kilo-org/kilo-marketplace/flink-best-practices)<a href="https://agentmods.dev/skills/kilo-org/kilo-marketplace/flink-best-practices"><img src="https://agentmods.dev/badge/skills/kilo-org/kilo-marketplace/flink-best-practices/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/kilo-org/kilo-marketplace/flink-best-practices"><img src="https://agentmods.dev/badge/skills/kilo-org/kilo-marketplace/flink-best-practices.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 | $0.00030 | $0.04680 |
| Opus 5 | $0.00015 | $0.02340 |
| Sonnet 5 | $0.00006 | $0.00936 |
| Haiku 4.5 | $0.00003 | $0.00468 |
Grade A, and why
flink-best-practices 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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- flink-best-practices — 95% identical, 13 lines differ
How it starts
The opening of the file, as written. The whole thing — 591 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apache Flink Best Practices
Core Principles
- Assign stable UIDs to every operator — mandatory for savepoint compatibility
- Use keyed state with TTL — unbounded state is the #1 cause of production failures
- Use event time with watermarks — processing time is non-deterministic on replay
- Use RocksDB state backend with incremental checkpoints for production
- Never do blocking I/O in operators — use
AsyncDataStream - Name every operator for debuggability in the Flink Web UI
- Deploy in Application Mode for production workloads
Application Structure (HIGH)
app-operator-uids
Assign .uid("stable-id") to every operator. This is mandatory.
Without UIDs, Flink cannot map state across job restarts or upgrades from savepoints. Missing UIDs will cause state loss on any job modification.
DataStream<Event> events = env
.addSource(kafkaSource)
.name("kafka-source")
.uid("kafka-source-uid")
.map(new EventParser())
.name("event-parser")
.uid("event-parser-uid")
.keyBy(Event::getUserId)
.process(new UserSessionProcessor())
.name("session-processor")
.uid("session-processor-uid");
app-job-design
One job per pipeline. Keep main() clean.
Build the StreamExecutionEnvironment, define the DAG, call execute(). Extract business logic into separate ProcessFunction or MapFunction classes — avoid inline lambdas for complex logic.
Externalize all configuration (Kafka brokers, parallelism, checkpoint intervals) via ParameterTool or Flink's Configuration object. Never hardcode.
app-max-parallelism
Set env.setMaxParallelism() explicitly (power of 2, e.g., 128, 256).
The default max parallelism cannot be changed after the first savepoint without losing state. Set it upfront to allow future scaling.
DataStream API (HIGH)
datastream-operator-selection
Choose the right operator abstraction.
| Need | Use |
|---|---|
| 1:1 transformation | map |
| 1:N transformation | flatMap |
| Predicate filtering | filter |
| Keyed state + timers | KeyedProcessFunction |
Lifecycle hooks (open/close) |
RichMapFunction, RichFlatMapFunction |
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.
- 9d ago First seen · 591 lines · 30 tokens per session scan A 5e083655c607
flink-best-practices is a skill published in the GitHub repository Kilo-Org/kilo-marketplace (175 stars, last pushed 22d ago), licensed Apache-2.0. It adds 30 tokens to every session and 4,680 once invoked, about $0.0002 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 2026-09-03.
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