Agent skill

Testing

by inbrainfun in inbrainfun/inbrain

Skill validation framework PLUS daily test-suite health and regression intelligence.

Custom licenceAuto-check passedTesting & QA

Install Testing

skills CLI
$ npx skills add inbrainfun/inbrain --skill testing -a claude-code

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

GitHub CLI
$ gh skill install inbrainfun/inbrain testing --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/inbrainfun/inbrain.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/testing .claude/skills/testing && 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
testing
GitHub stars
142
Used in
1 other repo
Token cost
~2k tokens
SKILL.md length
803 words
Files
1
Skills in repo
54
Repo updated
First seen
Licence
Custom licence

At a glance

Skill validation framework PLUS daily test-suite health and regression intelligence.

  • Works in 7 steps: Run unit tests → Run evals (if the project has an evals… → Run system health checks → …
  • Tasks that involve Test generation
  • SKILL.md covers Two modes, Mode 1: Skill conformance…, Mode 2: Project test-suite… and Anti-Patterns, plus 2 more sections
  • Calls bun and git

What it does

Testing is an agent skill from inbrainfun/inbrain. Skill validation framework PLUS daily test-suite health and regression intelligence. Validates skill conformance (frontmatter, manifest coverage, resolver coverage). Runs the project test suite in tiered phases (unit / evals / integration / system health), classifies failures, and produces a regression-aware report.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Testing & QA, covering Test generation, LLM evaluation and GraphQL.

When your agent uses it

  • Tasks that involve Test generation
  • Tasks that involve LLM evaluation
  • Tasks that involve GraphQL

Example prompts

  • “/testing”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Run unit tests
  2. Run evals (if the project has an evals config)
  3. Run system health checks
  4. Git diff analysis (CRITICAL — regression intelligence)
  5. Classify each failure
  6. Report format
  7. Auto-fix protocol

What it can do on your machine

Read from SKILL.md and the folder at commit 5231990. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • bun
    • git

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

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    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

Testing loads about 2k tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 803 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~2k

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 803 words (~1,979 tokens).

“This skill has two related but distinct modes:”

— opening of SKILL.md by inbrainfun, Custom licence
name
testing
version
1.1.0
triggers
validate skills, test skills, skill health check, run conformance tests, run the tests, how are the tests, what's broken, daily test run
tools
search, list_pages
mutating
false

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/testing of inbrainfun/inbrain.

Open the folder on GitHubat commit 5231990

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in inbrainfun/inbrain, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Testing 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.

Testing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Testing this skillinbrainfun/inbrain1421 repos~2kAutomated safety check: PassCustom licence
Eval Guidemicrosoft/eval-guide138—~22kAutomated safety check: WarnMIT
Suite ConverterMargin-Lab/evals161—~3.7kAutomated safety check: PassAGPL-3.0
Synthetic Eval Data Generatorai-evals-course/evals-skills1.5k—~1.4kAutomated safety check: PassApache-2.0
Axiom Eval Writeropenclaw/clawhub9.5k—~4.1kAutomated safety check: WarnMIT
Aidd Riteway AIparalleldrive/aidd384—~1.6kAutomated safety check: PassMIT

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  • Suite Converter

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More from inbrainfun/inbrain

All 54 skills in this repo
  • Academic Verify

    inbrainfun/inbrain

    Verify a research claim or academic citation by tracing it through publication → methodology → raw data → independent replication.

    142 GitHub starsUsed in 1 repo~2.3k tokens
    Auto-check passed
  • Cold Start

    inbrainfun/inbrain

    Day-one data bootstrapping for a new brain. An agent skill from inbrainfun/inbrain.

    142 GitHub starsUsed in 1 repo~4.7k tokens
    Auto-check passed
  • Enrich

    inbrainfun/inbrain

    Enrich brain pages with tiered enrichment protocol. An agent skill from inbrainfun/inbrain.

    142 GitHub starsUsed in 1 repo~2.8k tokens
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  • Idea Lineage

    inbrainfun/inbrain

    Trace one idea's evolution through the brain: first mention, best articulation, related concepts, reversals, contradictions, abandoned branches, and the current live version.

    142 GitHub starsUsed in 1 repo~2.2k tokens
    Auto-check passed
  • Maintain

    inbrainfun/inbrain

    Brain health checks: back-link enforcement, citation audit, filing validation, stale info detection, orphan pages, and benchmarks.

    142 GitHub starsUsed in 1 repo~4.4k tokens
    Auto-check passed
  • Schema Author

    inbrainfun/inbrain

    Evolve your brain's schema pack. An agent skill from inbrainfun/inbrain.

    142 GitHub starsUsed in 1 repo~3.3k tokens
    Auto-check passed

Questions about Testing

What does Testing do?

Skill validation framework PLUS daily test-suite health and regression intelligence. Testing is an agent skill from inbrainfun/inbrain. Skill validation framework PLUS daily test-suite health and regression intelligence.

When should I use Testing?

Testing fits situations like: tasks that involve Test generation; tasks that involve LLM evaluation; tasks that involve GraphQL.

How do I install Testing in Claude Code?

Run `npx skills add inbrainfun/inbrain --skill testing -a claude-code`. Or copy the skill folder (skills/testing in inbrainfun/inbrain) into .claude/skills/testing in your project. Claude Code loads it when a task matches its description.

How do I install Testing in Codex?

Run `npx skills add inbrainfun/inbrain --skill testing -a codex`. Or copy the skill folder (skills/testing in inbrainfun/inbrain) into .agents/skills/testing in your project. Codex loads it when a task matches its description.

Can I use Testing 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 inbrainfun/inbrain --skill testing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/testing, .gemini/skills/testing, .github/skills/testing and .opencode/skills/testing in your project.

What does Testing need to run?

Going by SKILL.md and its folder, Testing needs the command-line tools its instructions call (bun and git).

Does Testing access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Testing 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 Testing use?

Testing 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 Testing use?

About 2k tokens (SKILL.md is roughly 7.9k 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 Testing?

Skills that share tags, products or a category with Testing: Eval Guide (microsoft/eval-guide, 138 stars), Suite Converter (Margin-Lab/evals, 161 stars), Synthetic Eval Data Generator (ai-evals-course/evals-skills, 1.5k stars) and Axiom Eval Writer (openclaw/clawhub, 9.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Testing?

inbrainfun (a GitHub user) maintains it in inbrainfun/inbrain, which has 142 GitHub stars. The repository holds 54 skills in this directory. The repository was last updated on July 17, 2026.

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