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 Nevaberry/nevaberry-plugins --skill apache-flink-knowledge-patchgit clone --depth 1 https://github.com/Nevaberry/nevaberry-pluginsWrote 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/nevaberry/nevaberry-plugins/apache-flink-knowledge-patch)<a href="https://agentmods.dev/skills/nevaberry/nevaberry-plugins/apache-flink-knowledge-patch"><img src="https://agentmods.dev/badge/skills/nevaberry/nevaberry-plugins/apache-flink-knowledge-patch/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/nevaberry/nevaberry-plugins/apache-flink-knowledge-patch"><img src="https://agentmods.dev/badge/skills/nevaberry/nevaberry-plugins/apache-flink-knowledge-patch.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 | $0.00011 | $0.02107 |
| Opus 5.5 | $0.00004 | $0.00843 |
| Sonnet 5.5 | $0.00002 | $0.00421 |
| Haiku 4.5 | $0.00001 | $0.00211 |
Grade A, and why
apache-flink-knowledge-patch 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 — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apache Flink Knowledge Patch
Use this skill when upgrading or operating Flink, writing DataStream or Table API jobs, changing SQL, implementing connectors, or diagnosing state, checkpoint, scheduling, and deployment behavior. Start with the quick checks, then open the topic reference that matches the work.
Reference index
| Reference | Topics |
|---|---|
| Migration, APIs, and Configuration | Java/runtime requirements, removed APIs, typed configuration, SPI changes, serialization compatibility |
| SQL, Table API, and Planning | SQL syntax and types, materialized tables, inference, joins, PTFs, compiled plans, planner corrections |
| State, Checkpoints, and Storage | Async/disaggregated state, savepoints, RocksDB, ForSt, unaligned checkpoints, native S3 |
| Runtime, Scheduling, and Deployment | Adaptive Scheduler, partitioning, watermarks, Kubernetes, YARN, applications, REST and Web UI |
| Connectors, Formats, and Python | Source/Sink V2, connector migration, batching, formats, PyFlink, filesystems and HTTP behavior |
| Observability, Security, and Operations | Metrics, traces, events, HistoryServer retention, logging, dependencies, TLS and operational fixes |
Upgrade triage
Before changing a job or cluster:
- Identify the exact Flink line and every external connector version.
- Inventory removed DataSet, Scala, Source/Sink V1, legacy Table, state, serialization, deployment, and configuration surfaces.
- Treat state and savepoint restoration across the 1.x/2.x boundary as a compatibility project, not an assumed in-place restore.
- Convert
flink-conf.yamlto standard-YAMLconfig.yamlbefore starting a 2.x distribution. - Validate the Java runtime: Java 11 is the minimum, Java 17 is the default and recommended runtime, and Java 21 is supported.
- Rehearse checkpoints, failover, rescaling, and sink commits with the target patch release and production serializers.
What ships with it
7 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.
- coverage.json 2.0 KB
- references/connectors-formats-and-python.md 4.2 KB
- references/migration-apis-and-configuration.md 6.1 KB
- references/observability-security-and-operations.md 3.8 KB
- references/runtime-scheduling-and-deployment.md 5.5 KB
- references/sql-table-and-planning.md 7.6 KB
- references/state-checkpoints-and-storage.md 4.5 KB
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 · 224 lines · 11 tokens per session scan A e63d8b063220
apache-flink-knowledge-patch is a skill published in the GitHub repository Nevaberry/nevaberry-plugins (23 stars, last pushed 1mo ago), licensed MIT. It adds 11 tokens to every session and 2,107 once invoked, about $0.0000 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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