Borrowing it
Nothing to install: this file belongs to vinicq/falsegreen-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/vinicq/falsegreen-skill/master/AGENTS.mdgit clone --depth 1 https://github.com/vinicq/falsegreen-skillWrote 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.
[](https://agentmods.dev/instructions/vinicq/falsegreen-skill/agents-md)<a href="https://agentmods.dev/instructions/vinicq/falsegreen-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/vinicq/falsegreen-skill/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/vinicq/falsegreen-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/vinicq/falsegreen-skill/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.06720 | $0.06720 |
| Opus 5.5 | $0.02688 | $0.02688 |
| Sonnet 5.5 | $0.01344 | $0.01344 |
| Haiku 4.5 | $0.00672 | $0.00672 |
Grade A, and why
falsegreen-skill AGENTS.md 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 402 lines — stays where its author put it; the contents beside it link to each section on GitHub.
falsegreen-skill
LLM-based semantic analysis for false-positive test detection. This skill judges whether a test genuinely verifies correct behavior, across Python, TypeScript, JavaScript, and Robot Framework, plus semantic patterns no static tool can see.
A test is useful only if it fails when the code breaks. Every pattern this skill looks for is a variation on tests that do not fail: tests that pass while the code is wrong, tests that check the wrong thing, or tests that borrow correctness from elsewhere.
Full protocol: SKILL.md. Language patterns catalog: reference.md.
API integration guide: contexts/codex.md. Structured output schema: schema/report.json.
How to invoke
Say any of:
- "analyze this test file for false-positive smells"
- "run falsegreen analysis on tests/"
- "check tests/test_payments.py for false positives"
Attach a test file or paste a snippet. For Python projects, you can also paste
the output of the falsegreen static scanner first; the skill will skip the
structural pass and go directly to semantic adjudication.
Test discovery
Codex has shell tools and can locate test files automatically. You do not need to list paths or paste file contents. Say:
- "find and analyze all test files in this project"
- "run falsegreen on every test file under tests/"
- "check only the component tests in src/tests/"
Codex runs shell commands to discover files by pattern:
| Language | Patterns |
|---|---|
| Python | test_*.py, *_test.py |
| TypeScript / TSX | *.test.ts, *.spec.ts, *.test.tsx, *.spec.tsx |
| JavaScript / JSX | *.test.js, *.spec.js, *.test.jsx, *.spec.jsx |
Backend and frontend component tests (React, Vue, Angular) are included in the same discovery pass — no extra configuration needed.
Protocol (compact)
Work through these steps in order.
Step 1: Detect language, framework, and level
Identify the language (Python / TypeScript / JavaScript / Robot Framework), the
test framework (pytest / unittest / Jest / Vitest / Mocha+Chai / Cypress /
Playwright / Robot), and the level from signals (the pyramid): unit (boundaries
doubled), integration (real HTTP client or ORM/driver - API and database), or
E2E (browser). Strongest signal wins (markers, paths, file names, conventions:).
The level changes the oracle (E2E presence IS the assertion; affects C6/C14); a
real API/DB call in a unit test is itself the smell. Report the level per finding.
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.
- 1mo ago First seen · 402 lines · 6,720 tokens per session scan A a5a6e116fca1
falsegreen-skill AGENTS.md is an instructions file published in the GitHub repository vinicq/falsegreen-skill (2 stars, last pushed 9d ago), licensed MIT. It adds 6,720 tokens to every session, about $0.0269 per session on Opus 5.5. 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 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.