MongoDB Java Driver is a set of libraries that lets Java, Kotlin, and Scala applications connect to and work with MongoDB databases. JVM developers use the drivers to build database-backed applications in those languages. The catalogue instructions and skills support development involving these drivers.
Borrowing it
Nothing to install: this file belongs to mongodb/mongo-java-driver. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mongodb/mongo-java-driver/main/.agents/skills/evergreen/SKILL.mdgit clone --depth 1 https://github.com/mongodb/mongo-java-driverWrote 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/mongodb/mongo-java-driver/evergreen)<a href="https://agentmods.dev/skills/mongodb/mongo-java-driver/evergreen"><img src="https://agentmods.dev/badge/skills/mongodb/mongo-java-driver/evergreen/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/mongodb/mongo-java-driver/evergreen"><img src="https://agentmods.dev/badge/skills/mongodb/mongo-java-driver/evergreen.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 | $0.00031 | $0.00233 |
| Opus 5.5 | $0.00012 | $0.00093 |
| Sonnet 5.5 | $0.00006 | $0.00047 |
| Haiku 4.5 | $0.00003 | $0.00023 |
Grade A, and why
evergreen 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 2mo 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
Evergreen
Evergreen (MongoDB Internal CI)
Primary CI runs on MongoDB’s Evergreen system.
Configuration lives in .evergreen/.
- Do not modify
.evergreen/configuration without review - Evergreen runs the full test matrix across MongoDB versions, OS platforms, and JDK versions
Validating Evergreen Configuration
After modifying .evergreen/ files, validate the config locally:
evergreen validate .evergreen/.evg.yml
Always run this before submitting changes to .evergreen/ to catch syntax errors and invalid task definitions.
Testing with a Patch Build
To test your changes on Evergreen before merging, create a patch build:
evergreen patch -u
This uploads your uncommitted and committed local changes as a patch build on Evergreen, allowing you to run the full CI test matrix against your branch.
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.
- 2mo ago First seen · 37 lines · 31 tokens per session scan A 2710d604b3ca
evergreen is a skill published in the GitHub repository mongodb/mongo-java-driver (2,661 stars, last pushed today), licensed Apache-2.0. It adds 31 tokens to every session and 233 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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