Official agent skill

Recommending Test Layers

by bitwarden in bitwarden/ai-plugins

A skill your agent uses when deciding WHICH new tests a change needs and at WHICH layer each belongs, working from a Jira key, a Testmo CSV, an assessing-test-coverage report, a PR, or a feature…

OfficialCustom licenceAuto-check passedTesting & QA

Install Recommending Test Layers

skills CLI
$ npx skills add bitwarden/ai-plugins --skill recommending-test-layers -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install bitwarden/ai-plugins recommending-test-layers --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/bitwarden/ai-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/bitwarden-testing-tools/skills/recommending-test-layers .claude/skills/recommending-test-layers && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
recommending-test-layers
GitHub stars
154
Token cost
~2.4k tokens
SKILL.md length
788 words
Files
3
Skills in repo
33
Repo updated
First seen
Licence
Custom licence

At a glance

A skill your agent uses when deciding WHICH new tests a change needs and at WHICH layer each belongs, working from a Jira key, a Testmo CSV, an assessing-test-coverage report, a PR, or a feature…

  • Works in 6 steps: Resolve the input into a set of testable… → Establish what is already tested so… → For each behavior, assign the… → …
  • Deciding WHICH new tests a change needs and at WHICH layer each belongs
  • SKILL.md covers Steps, Layer guidance, Gotchas and Output template
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Recommending Test Layers is an agent skill from bitwarden/ai-plugins, published by the product's own GitHub organization. Use when deciding WHICH new tests a change needs and at WHICH layer each belongs, working from a Jira key, a Testmo CSV, an assessing-test-coverage report, a PR, or a feature description. Triggers on "should I add integration tests here", "are unit tests enough", "what tests should I add and where", "what layer should this test go at", "which of these cases should be automated and at what layer", "what's the right test strategy for this feature", "pyramid or trophy for this change". This is a forward-looking…

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `evals/baseline.json` and `evals/trigger-eval.json`).

It sits in Testing & QA, covering Test coverage, Test generation and Integration testing. It works with Jira and Confluence. The repository describes itself as: AI plugin marketplace.

When your agent uses it

  • Deciding WHICH new tests a change needs and at WHICH layer each belongs
  • Working from a Jira key
  • An assessing-test-coverage report
  • A feature description

Example prompts

  • “should I add integration tests here”
  • “are unit tests enough”
  • “what tests should I add and where”
  • “/recommending-test-layers”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Grep, Glob, Bash(date:*), Bash(gh pr view:*), Bash(gh pr diff:*), Skill(bitwarden-atlassian-tools:researching-jira-issues), mcp__plugin_bitwarden-atlassian-tools_bitwarden-atlassian__get_confluence_page

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Resolve the input into a set of testable behaviors and the repos they touch
  2. Establish what is already tested so recommendations target gaps. Prefer an assessing-test-coverage report as input; if none is supplied…
  3. For each behavior, assign the deterministic layer that earns confidence at the narrowest sufficient scope.
  4. Decide which behaviors additionally earn a non-deterministic layer on top of their step-3 coverage. Add one only when its trigger is met…
  5. When the input shows where tests already live — an assessing-test-coverage report or a PR diff — flag any behavior mis-placed (an edge…
  6. Write the report to ${CLAUDE_PLUGIN_DATA}/recommending-test-layers/--test-layers.md ( from the ticket, PR, or feature; from date…

What it can do on your machine

Read from SKILL.md and the folder at commit 53e22a3. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Grep
    • Glob
    • Bash(date:*)
    • Bash(gh pr view:*)
    • Bash(gh pr diff:*)
    • Skill(bitwarden-atlassian-tools:researching-jira-issues)
    • mcp__plugin_bitwarden-atlassian-tools_bitwarden-atlassian__get_confluence_page

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Recommending Test Layers loads about 2.4k tokens when it runs. Until then it costs about 228 tokens; SKILL.md has 788 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~228
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 788 words (~2,432 tokens).

“Recommend which tests a change needs and at which layer each one belongs.”

— opening of SKILL.md by bitwarden, Custom licence
name
recommending-test-layers
allowed-tools
Read, Write, Grep, Glob, Bash(date:*), Bash(gh pr view:*), Bash(gh pr diff:*), Skill(bitwarden-atlassian-tools:researching-jira-issues), mcp__plugin_bitwarden-atlassian-tools_bitwarden-atlassian__get_confluence_page
argument-hint
[Jira key | Testmo CSV | assessing-test-coverage report | PR URL | feature description]

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files in plugins/bitwarden-testing-tools/skills/recommending-test-layers of bitwarden/ai-plugins.

  • SKILL.md
  • evals/baseline.json
  • evals/trigger-eval.json

Open the folder on GitHubat commit 53e22a3

Compare with similar skills

Recommending Test Layers next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Recommending Test Layers compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Recommending Test Layers this skillbitwarden/ai-plugins154—~2.4kAutomated safety check: PassCustom licence
Test Experteinverne/dotfiles121—~2.3kAutomated safety check: PassGPL-3.0
Memstack Development Test Writercwinvestments/memstack423—~3.7kAutomated safety check: PassProprietary
Scenario Testingaiskillstore/marketplace4301 repos~830Automated safety check: PassNone
OpenROAD Module Test AdderThe-OpenROAD-Project/OpenROAD3.2k—~1.8kAutomated safety check: PassBSD-3-Clause
Write Testsgrafana/synthetic-monitoring-app171—~1.2kAutomated safety check: PassAGPL-3.0

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Works with

Categories

Questions about Recommending Test Layers

What does Recommending Test Layers do?

A skill your agent uses when deciding WHICH new tests a change needs and at WHICH layer each belongs, working from a Jira key, a Testmo CSV, an assessing-test-coverage report, a PR, or a feature…. Recommending Test Layers is an agent skill from bitwarden/ai-plugins, published by the product's own GitHub organization. Use when deciding WHICH new tests a change needs and at WHICH layer each belongs, working from a Jira key, a Testmo CSV, an assessing-test-coverage report, a PR, or a feature description.

When should I use Recommending Test Layers?

Recommending Test Layers fits situations like: deciding WHICH new tests a change needs and at WHICH layer each belongs; working from a Jira key; an assessing-test-coverage report; A feature description.

How do I install Recommending Test Layers in Claude Code?

Run `npx skills add bitwarden/ai-plugins --skill recommending-test-layers -a claude-code`. Or copy the skill folder (plugins/bitwarden-testing-tools/skills/recommending-test-layers in bitwarden/ai-plugins) into .claude/skills/recommending-test-layers in your project. Claude Code loads it when a task matches its description.

How do I install Recommending Test Layers in Codex?

Run `npx skills add bitwarden/ai-plugins --skill recommending-test-layers -a codex`. Or copy the skill folder (plugins/bitwarden-testing-tools/skills/recommending-test-layers in bitwarden/ai-plugins) into .agents/skills/recommending-test-layers in your project. Codex loads it when a task matches its description.

Can I use Recommending Test Layers in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add bitwarden/ai-plugins --skill recommending-test-layers -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/recommending-test-layers, .gemini/skills/recommending-test-layers, .github/skills/recommending-test-layers and .opencode/skills/recommending-test-layers in your project.

What does Recommending Test Layers need to run?

SKILL.md names no scripts, command-line tools or credentials: Recommending Test Layers is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Grep, Glob, Bash(date:*), Bash(gh pr view:*), Bash(gh pr diff:*), Skill(bitwarden-atlassian-tools:researching-jira-issues), mcp__plugin_bitwarden-atlassian-tools_bitwarden-atlassian__get_confluence_page.

Does Recommending Test Layers access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Recommending Test Layers safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Recommending Test Layers use?

Recommending Test Layers has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Recommending Test Layers use?

About 2.4k tokens (SKILL.md is roughly 9.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Recommending Test Layers?

Skills that share tags, products or a category with Recommending Test Layers: Test Expert (einverne/dotfiles, 121 stars), Memstack Development Test Writer (cwinvestments/memstack, 423 stars), Scenario Testing (aiskillstore/marketplace, 430 stars) and OpenROAD Module Test Adder (The-OpenROAD-Project/OpenROAD, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Recommending Test Layers?

bitwarden (a GitHub organization, an official publisher) maintains it in bitwarden/ai-plugins, which has 154 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 8, 2026.

Source: bitwarden/ai-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.