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 agentmods add skills/oracle-samples/oracle-aidp-samples/aidp-spark-optimizationnpx skills add oracle-samples/oracle-aidp-samples --skill aidp-spark-optimizationgit clone --depth 1 https://github.com/oracle-samples/oracle-aidp-samplesWrote 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/oracle-samples/oracle-aidp-samples/aidp-spark-optimization)<a href="https://agentmods.dev/skills/oracle-samples/oracle-aidp-samples/aidp-spark-optimization"><img src="https://agentmods.dev/badge/skills/oracle-samples/oracle-aidp-samples/aidp-spark-optimization.svg" alt="Measured on agentmods" 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 | $0.00106 | $0.02686 |
| Opus 5 | $0.00053 | $0.01343 |
| Sonnet 5 | $0.00021 | $0.00537 |
| Haiku 4.5 | $0.00011 | $0.00269 |
Grade A, and why
aidp-spark-optimization 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 2d 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.
The source is not reproduced here
Licensed UPL-1.0
The repository is licensed UPL-1.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
15 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.
- references/01-partitioning.md 22 KB
- references/02-joins.md 25 KB
- references/03-file-layout-io.md 22 KB
- references/04-memory-and-spill.md 16 KB
- references/05-codegen.md 15 KB
- references/06-caching-materialization.md 6.8 KB
- references/07-aqe.md 21 KB
- references/08-delta-lake.md 18 KB
- references/09-oracle-database.md 23 KB
- references/aidp-notes.md 3.9 KB
- references/case-studies.md 6.9 KB
- references/cluster-sizing.md 6.6 KB
- references/config-matrix.md 13 KB
- references/diagnosis.md 5.3 KB
- references/quick-reference.md 6.1 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.
- 2d ago First seen · 106 lines · 106 tokens per session scan A 0de4f554c86a
aidp-spark-optimization is a skill published in the GitHub repository oracle-samples/oracle-aidp-samples (46 stars, last pushed 5d ago), licensed UPL-1.0. It adds 106 tokens to every session and 2,686 once invoked, about $0.0005 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.
Other skills, from other repositories
excel-conditional-filtering-optimization
根据多维数值条件筛选 Excel 数据并导出结果,支持大规模数据的自动性能优化处理。.
memory-management
Guide the agent to recall, remember, and route durable learning into Memory, Skills, Scheduled Tasks, or Tape.
ppt-review
Read this skill only after current officereview structural output and relevant rendered images exist. Do not use source code, a tool success flag, or the first-slide preview as a substitute for deck evidence.
package-installer
Install third-party open-source projects (a GitHub URL or a local git directory the user provides) as external packages. The project is cloned verbatim into the per-user packages directory — never edit, normalize, or reorganize its files.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
notifications
Send notifications through the unified notification router.