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 Awish021/opencode --skill pyspark-databricksgit clone --depth 1 https://github.com/Awish021/opencodeWrote 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/awish021/opencode/pyspark-databricks)<a href="https://agentmods.dev/skills/awish021/opencode/pyspark-databricks"><img src="https://agentmods.dev/badge/skills/awish021/opencode/pyspark-databricks/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/awish021/opencode/pyspark-databricks"><img src="https://agentmods.dev/badge/skills/awish021/opencode/pyspark-databricks.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00019 | $0.00308 |
| Opus 5.5 | $0.00008 | $0.00123 |
| Sonnet 5.5 | $0.00004 | $0.00062 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
pyspark-databricks 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
PySpark Databricks
What I do
- Build PySpark ETL pipelines on Databricks
- Optimize Spark jobs for performance and cost
- Apply Delta Lake patterns for reliability
When to use me
Use when you need help authoring or tuning PySpark on Databricks. Ask clarifying questions about data volume, schema, and SLAs.
Quick checklist
- Avoid
collecton large data - Partition and prune data sources
- Cache judiciously for reuse
- Use Delta Lake tables
- Prefer Spark SQL/DataFrame API
Minimal examples
from pyspark.sql import functions as F
events = spark.read.format("parquet").load("/mnt/raw/events/")
users = spark.read.option("header", "true").csv("/mnt/raw/users.csv")
result = (
events.join(users, "user_id")
.groupBy("country")
.agg(F.count("*").alias("events"))
)
(result.write.format("delta")
.mode("overwrite")
.partitionBy("country")
.save("/mnt/delta/event_counts"))
Output format
## PySpark Pipeline Update
### Summary
- [What changed]
- [Optimization or reliability gain]
### Code
```python
[PySpark code]
Notes
- [Assumptions]
- [Next steps]
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 · 62 lines · 19 tokens per session scan A 153d04e6687f
pyspark-databricks is a skill published in the GitHub repository Awish021/opencode (11 stars, last pushed 4mo ago), licensed MIT. It adds 19 tokens to every session and 308 once invoked, about $0.0001 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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