flink-intelligent-ops

flink-intelligent-ops is a skill for Claude Code, Codex from TKilome/skillbound-agent. It costs 45 tokens per session (6,832 once invoked), scanned C, original, Apache-2.0.

An operations tool for Apache Flink, a system that runs data-processing jobs continuously or in batches. It helps operate and inspect those jobs through Flink’s management interface, with deployment support for native Kubernetes application mode.

In plain words
What is it for?
Use it to start or stop jobs, inspect status and exceptions, check checkpoints, and submit jobs to Kubernetes in the supported mode.
Why use it?
It gives operators one required command-line interface for starting, checking, and diagnosing Flink jobs across supported deployment environments.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code; mentions Codex.

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /Users/example/Library/Java/JavaVirtualMachines/ms-11.0.28/Contents/Home.

Install

Getting it into your agent

There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for flink-intelligent-ops

README.md
[![agentmods](https://agentmods.dev/badge/skills/tkilome/skillbound-agent/flink-intelligent-ops.svg)](https://agentmods.dev/skills/tkilome/skillbound-agent/flink-intelligent-ops)
Your own site
<a href="https://agentmods.dev/skills/tkilome/skillbound-agent/flink-intelligent-ops"><img src="https://agentmods.dev/badge/skills/tkilome/skillbound-agent/flink-intelligent-ops.svg" alt="Measured on agentmods" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,832 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00045 $0.06832
Opus 5 $0.00023 $0.03416
Sonnet 5 $0.00009 $0.01366
Haiku 4.5 $0.00005 $0.00683

Measured 6d ago against content hash f024f9e9cba9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade C, and why

flink-intelligent-ops scanned grade C with 1 finding 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 6d 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.

Reaches for credential fileshighPrivilege escalation

SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.

`~/.kube/config`. The agent must not read or ask the user to paste kubeconfig
example-skills/flink-intelligent-ops/SKILL.md · 506 lines

How it starts

The opening of the file, as written. The whole thing — 506 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Give a host agent shared Apache Flink intelligent operations capability.

MANDATORY EXECUTION RULE: When this skill is triggered, use only this skill's bundled Java CLI:

com.skill.flinkops.FlinkOpsCli

Never use kubectl, flink run-application, Flink shell scripts, hand-written Kubernetes manifests, Flink Operator CRDs, cloud CLIs, or ad hoc scripts as substitutes for skill execution. This rule applies to discovery, preflight, submission, verification, logs, status, and troubleshooting. If the bundled CLI cannot answer or perform an action, report the missing capability instead of switching tools.

The key boundary is:

  • Common operations use Flink REST and work for Kubernetes, YARN, standalone, or any deployment target that exposes a JobManager REST URL.
  • Deployment operations are provider-specific. The MVP implements --deployment-target kubernetes with Flink native Kubernetes application mode.

Resolve Runtime Paths

Before running any command, resolve SKILL_DIR as the directory that contains this SKILL.md. Do not assume the current working directory is the skill directory.

Examples:

  • Codex global install: $HOME/.codex/skills/flink-intelligent-ops
  • Claude Code global install: $HOME/.claude/skills/flink-intelligent-ops
  • Project-local example: <repo>/example-skills/flink-intelligent-ops

Resolve runtime dependencies from the user's input, environment, or the selected deployment provider reference. Do not assume a provider-specific runtime rule applies to every deployment target.

The host platform or user must provide JAVA_HOME before any bundled CLI command is executed. Use $JAVA_HOME/bin/java to launch this skill. Do not fall back to java from PATH when JAVA_HOME is available or required by the session.

JAVA_HOME collection is the first runtime gate. Before asking for Flink, Kubernetes, YARN, REST, jar, image, or mutation-confirmation parameters, check whether the current session already has a resolved JAVA_HOME. If not, ask only for JAVA_HOME and stop. Do not run check_cli_environment, preflight, read, diagnosis, build, start, or stop commands until JAVA_HOME is known. Explain that this path is used to start the bundled Java CLI. Example: /Users/example/Library/Java/JavaVirtualMachines/ms-11.0.28/Contents/Home.

Read the full file on GitHub · 506 lines

Files

What ships with it

60 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.

Changes

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.

  1. 6d ago First seen · 506 lines · 45 tokens per session scan C f024f9e9cba9

Subscribe to this mod's changes

flink-intelligent-ops is a skill published in the GitHub repository TKilome/skillbound-agent (2 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 45 tokens to every session and 6,832 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 1 finding (reaches for credential files). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens