evergreen

A set of testing rules for developers adding or changing code tests. It covers unit, frontend, end-to-end, shell, and database tests, including where tests belong and which checks to run.

In plain words
What is it for?
Adding tests for features and bug fixes, choosing suitable test styles, organizing test files, and checking scripts, frontends, and database code.
Why use it?
It provides consistent testing practices and helps catch regressions while keeping tests focused, fast, and maintainable.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/mongodb/mongo-java-driver/evergreen
Any agent
npx skills add mongodb/mongo-java-driver --skill evergreen
Clone the repo
git clone --depth 1 https://github.com/mongodb/mongo-java-driver

Made for: Claude Code, Codex.

Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 233 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00031 $0.00233
Opus 5 $0.00015 $0.00117
Sonnet 5 $0.00006 $0.00047
Haiku 4.5 $0.00003 $0.00023

Measured yesterday against content hash 2710d604b3ca, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 yesterday.

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.

.agents/skills/evergreen/SKILL.md · 37 lines

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.

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. yesterday First seen · 37 lines · 31 tokens per session scan A 2710d604b3ca

Subscribe to this mod's changes

evergreen is a skill published in the GitHub repository mongodb/mongo-java-driver (2,660 stars, last pushed 3d ago), licensed Apache-2.0. It adds 31 tokens to every session and 233 once invoked, about $0.0002 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 2026-08-30.

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