Finds tests that stay green when the code they cover is broken, applying six ordered judgments over Python, TypeScript, JavaScript, and Robot Framework suites in Codex CLI and Claude Code.
vinicius-queiroz/falsegreen-skill · v0.8.2 · Development & Workflow
Trust Score
92
Security
100
Surfaces
5
falsegreen-skill is a published development & workflow plugin for AI coding agents in the claude-code ecosystem, developed by Vinicius Queiroz and distributed through the HOL AI plugin registry. Finds tests that stay green when the code they cover is broken, applying six ordered judgments over Python, TypeScript, JavaScript, and Robot Framework suites in Codex CLI and Claude Code.
Per-metric points (0–100 each) combined via a weighted average into the overall score.
Per-metric points (0–100 each) combined via a weighted average into the overall score.
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No action is required. This plugin receives the full trust score.
Verified badge detected
This listing scores +2% trust because the HOL verified badge is present in the source repository README.
Script permission declarations are required for scripts/: scripts/check-scanner-coverage.mjs, scripts/build-code-catalog.mjs, scripts/check-catalog-consistency.mjs, scripts/build-targets.mjs, scripts/refresh-scanner-snapshot.mjs, scripts/sync-cursor-mdc.mjs, scripts/sync-host-files.mjs, scripts/validate-package.mjs
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Install through the Claude Code plugin marketplace.
Add the marketplace
Run this inside a Claude Code session.
Install the plugin
Use the plugin name and the marketplace name shown by the previous command.
Scripted alternative
Non-interactive equivalent for scripts and CI pipelines. Add --scope project to pin the install to one repository.
{
"name": "falsegreen-skill",
"version": "0.8.2",
"description": "LLM-based semantic analysis for false-positive test detection. Applies the J1-J6 judgment framework across Python, TypeScript, JavaScript, and Robot Framework, plus semantic patterns no static tool can see.",
"author": {
"name": "Vinicius Queiroz",
"url": "https://github.com/vinicq"
},
"homepage": "https://github.com/vinicq/falsegreen-skill",
"repository": "https://github.com/vinicq/falsegreen-skill",
"license": "MIT",
"skills": "./",
"keywords": [
"testing",
"test-smells",
"code-quality",
"false-positive",
"python",
"typescript",
"javascript",
"robotframework"
],
"interface": {
"displayName": "falsegreen-skill",
"developerName": "Vinicius Queiroz",
"shortDescription": "Detect false-positive tests with the J1-J6 judgment framework",
"composerIcon": "./assets/icon.svg",
"logo": "./assets/icon.svg",
"capabilities": [
"Read",
"Write"
],
"websiteURL": "https://vinicq.github.io/falsegreen-docs/",
"privacyPolicyURL": "https://github.com/vinicq/falsegreen-skill/blob/master/PRIVACY.md",
"termsOfServiceURL": "https://github.com/vinicq/falsegreen-skill/blob/master/LICENSE",
"longDescription": "falsegreen-skill applies six structural judgments (J1-J6) to each test to determine whether it can actually fail when the code breaks. Covers the full falsegreen catalog for Python, TypeScript, JavaScript, and Robot Framework, plus semantic patterns only an LLM can detect. Provides HIGH/LOW confidence findings with evidence and fix hints.",
"category": "code-quality",
"defaultPrompt": [
"Analyze this test file for false-positive smells"
]
},
"registryIndexVersion": 5
}5 SKILL.md files ship with this plugin. Preview, copy, or download each one, then install them with the Skills CLI.
falsegreen-skill
.agents/skills/falsegreen-skill/SKILL.md
Analyze test files for false-positive smells, meaning tests that pass even when the code breaks. Use when reviewing Python, TypeScript, JavaScript, or Robot Framework tests for weak assertions, vacuous passes, mock misuse, async assertion gaps, or whether a test can actually fail.
SKILL.md content is not in this snapshot. Open the raw file to copy it from the source repository.
falsegreen-skill
.antigravity-plugin/skills/falsegreen-skill/SKILL.md
Analyze test files for false-positive smells, meaning tests that pass even when the code breaks. Use when reviewing Python, TypeScript, JavaScript, or Robot Framework tests for weak assertions, vacuous passes, mock misuse, async assertion gaps, or whether a test can actually fail.
SKILL.md content is not in this snapshot. Open the raw file to copy it from the source repository.
falsegreen-skill
.gemini/skills/falsegreen-skill/SKILL.md
Analyze test files for false-positive smells, meaning tests that pass even when the code breaks. Use when reviewing Python, TypeScript, JavaScript, or Robot Framework tests for weak assertions, vacuous passes, mock misuse, async assertion gaps, or whether a test can actually fail.
SKILL.md content is not in this snapshot. Open the raw file to copy it from the source repository.
skill
SKILL.md
SKILL.md content is not in this snapshot. Open the raw file to copy it from the source repository.
falsegreen-skill
skills/falsegreen-skill/SKILL.md
Analyze test files for false-positive smells, meaning tests that pass even when the code breaks. Use when the user asks to review tests for false positives, weak assertions, mock misuse, test smells, or asks whether a test can actually fail. Covers Python (pytest, unittest), TypeScript, JavaScript (Jest, Vitest, Mocha), and Robot Framework.
SKILL.md content is not in this snapshot. Open the raw file to copy it from the source repository.
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