testing

testing is a skill for Claude Code, Codex from cynthiajones34/GBrain. It costs 63 tokens per session (2,080 once invoked), scanned A, a copy of testing, MIT.

A validation and test-health framework for checking add-on files, project tests, and regressions. A regression is a previously working behavior that has started failing.

In plain words
What is it for?
Use it to validate skills, run unit tests, evaluations, integrations, and system-health checks, and produce regression-aware reports.
Why use it?
It finds missing metadata and references, checks coverage, runs tests in stages, and classifies failures so problems are easier to understand.

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/cynthiajones34/gbrain/testing
Any agent
npx skills add cynthiajones34/GBrain --skill testing
Clone the repo
git clone --depth 1 https://github.com/cynthiajones34/GBrain

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for testing

README.md
[![agentmods](https://agentmods.dev/badge/skills/cynthiajones34/gbrain/testing.svg)](https://agentmods.dev/skills/cynthiajones34/gbrain/testing)
Your own site
<a href="https://agentmods.dev/skills/cynthiajones34/gbrain/testing"><img src="https://agentmods.dev/badge/skills/cynthiajones34/gbrain/testing.svg" alt="Measured on agentmods" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,080 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 94% copy Near-identical to another mod 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 $0.00063 $0.02080
Opus 5 $0.00032 $0.01040
Sonnet 5 $0.00013 $0.00416
Haiku 4.5 $0.00006 $0.00208

Measured 3d ago against content hash f1846ba7c350, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

testing 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 3d 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.

Origin

This is a copy

94% identical to testing — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/testing/SKILL.md · 259 lines

How it starts

The opening of the file, as written. The whole thing — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Testing Skill — Validation + Daily Health & Regression Intelligence

Convention: see conventions/quality.md for the test-before-bulk pattern; this skill enforces it across the project's own test suite.

Two modes

This skill has two related but distinct modes:

  1. Skill conformance validation — gbrain's own conformance bar (the original 1.0 scope). Validates every skill has SKILL.md with frontmatter, every reference exists, manifest + resolver coverage round-trips.

  2. Project test-suite health (v0.25.1 extension) — runs the project's tiered test suite and produces a regression-classified report. Used by daily cron, container-restart bootstrap, and "how are the tests" prompts.

Pick the mode by trigger.

Mode 1: Skill conformance validation

Contract

This mode guarantees:

  • Every skill directory has a SKILL.md file
  • Every SKILL.md has valid YAML frontmatter (name, description)
  • Every SKILL.md has required sections per test/skills-conformance.test.ts
  • skills/manifest.json lists every skill directory
  • skills/RESOLVER.md references every skill in the manifest
  • openclaw.plugin.json skills[] round-trips with both
  • openclaw.plugin.json keeps OpenClaw install-required native plugin fields (id, object configSchema, and contracts.contextEngines when applicable)
  • No MECE violations (duplicate triggers across skills)

Phases

  1. Walk skills directory. List all subdirs containing SKILL.md.
  2. Validate frontmatter. Parse YAML, check required fields.
  3. Validate sections. Check for the required headings.
  4. Check manifest. Every skill dir must be in manifest.json.
  5. Check resolver. Every manifest skill must have a RESOLVER row.
  6. Check round-trip. RESOLVER trigger ↔ frontmatter triggers.
  7. Report results.

Automation

bun test test/skills-conformance.test.ts test/resolver.test.ts test/openclaw-plugin-manifest.test.ts

Read the full file on GitHub · 259 lines

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. 3d ago First seen · 259 lines · 63 tokens per session scan A f1846ba7c350

Subscribe to this mod's changes

testing is a skill published in the GitHub repository cynthiajones34/GBrain (0 stars, last pushed 27d ago), licensed MIT. It adds 63 tokens to every session and 2,080 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to testing, differing in 4 lines, and is treated as a copy.