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 OpenHands/extensions --skill spark-version-upgradegit clone --depth 1 https://github.com/OpenHands/extensionsWrote 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/openhands/extensions/spark-version-upgrade)<a href="https://agentmods.dev/skills/openhands/extensions/spark-version-upgrade"><img src="https://agentmods.dev/badge/skills/openhands/extensions/spark-version-upgrade/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/openhands/extensions/spark-version-upgrade"><img src="https://agentmods.dev/badge/skills/openhands/extensions/spark-version-upgrade.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 | $0.00045 | $0.01936 |
| Opus 5.5 | $0.00018 | $0.00774 |
| Sonnet 5.5 | $0.00009 | $0.00387 |
| Haiku 4.5 | $0.00005 | $0.00194 |
Grade A, and why
spark-version-upgrade 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 — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Upgrade Apache Spark applications between major versions with a structured, phase-by-phase workflow.
When to Use
- Migrating from Spark 2.x → 3.x or Spark 3.x → 4.x
- Updating PySpark, Spark SQL, or Structured Streaming applications
- Resolving deprecation warnings before a Spark version bump
Workflow Overview
- Inventory & Impact Analysis — Scan the codebase and assess scope
- Build File Updates — Bump Spark/Scala/Java dependencies
- API Migration — Replace deprecated and removed APIs
- Configuration Migration — Update Spark config properties
- SQL & DataFrame Migration — Fix query-level breaking changes
- Test Validation — Compile, run tests, verify results
Phase 1: Inventory & Impact Analysis
Before changing any code, assess what needs to change. Read the official Apache Spark migration guide for the target version — it documents every API removal, config rename, and behavioral change per release: https://spark.apache.org/docs/latest/migration-guide.html
Checklist
- Read the migration guide section for the target Spark version
- Identify current Spark version (check
pom.xml,build.sbt,build.gradle, orrequirements.txt) - Identify target Spark version
- Search for deprecated APIs:
grep -rn 'import org.apache.spark' --include='*.scala' --include='*.java' --include='*.py' - List all Spark config properties:
grep -rn 'spark\.' --include='*.conf' --include='*.properties' --include='*.scala' --include='*.java' --include='*.py' | grep -v 'test' - On Windows PowerShell, use
Get-ChildItem -Recurse -Include *.scala,*.java,*.py | Select-String 'import org.apache.spark'and adjust the extensions/pattern for config searches. - Check for custom
SparkSessionorSparkContextextensions - Identify connector dependencies (Hive, Kafka, Cassandra, Delta, Iceberg)
- Document findings in
spark_upgrade_impact.md
Output
spark_upgrade_impact.md # Summary of affected files, APIs, and configs
What ships with it
4 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 · 235 lines · 45 tokens per session scan A 4351d37aec3b
spark-version-upgrade is a skill published in the GitHub repository OpenHands/extensions (167 stars, last pushed today), licensed MIT. It adds 45 tokens to every session and 1,936 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 2026-09-03.
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