anti-vibe-skills: Instructions file for Codex

AGENTS.md

anti-vibe-skills AGENTS.md is an instructions file for Codex, OpenCode from mohitmishra786/anti-vibe-skills. It costs 1,329 tokens per session, scanned A, original, MIT.

Contributor instructions for a collection of AI skills that train developers to question, review, and reason about code instead of accepting generated solutions automatically.

In plain words
What is it for?
Working on skills for debugging, design, security, refactoring, code review, and other development practices.
Why use it?
They explain the project's structure and the shared approach used by its skills.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md.

This is mohitmishra786/anti-vibe-skills's own configuration. It tells Codex and OpenCode how to work on anti-vibe-skills itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything anti-vibe-skills configures →

Reuse

Borrowing it

Nothing to install: this file belongs to mohitmishra786/anti-vibe-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/mohitmishra786/anti-vibe-skills/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/mohitmishra786/anti-vibe-skills

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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Per session 1,329 This file is loaded in full into every session.
When invoked 1,329 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found 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 5.1 $0.01329 $0.01329
Opus 5 $0.00665 $0.00665
Sonnet 5 $0.00266 $0.00266
Haiku 4.5 $0.00133 $0.00133

Measured 11d ago against content hash 94642d54ccd5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

anti-vibe-skills 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 11d 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.

AGENTS.md · 144 lines

How it starts

The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Guidelines for AI agents working in this repository.

Project Overview

A curated suite of AI agent skills built around a single thesis: the AI refuses its default role so the human is forced to exercise judgment. Every skill in this library is a behavioral inversion — instead of producing answers, code, or solutions, the AI guides, challenges, and questions until the human arrives at the answer themselves.

These skills are judgment trainers. As vibe coding makes AI-generated output cheaper and more abundant, the scarce resource becomes developer judgment. This library exists to protect and strengthen that resource.

Repository Structure

skills/
├── core-inversions/        # reverse-vibe-coding, socratic-debugger, code-review-challenger, architect-interrogator, test-first-mentor
├── cognitive-forcing/      # first-principles-mode, devils-advocate-mode, rubber-duck-plus, complexity-cop
└── process-quality/        # pre-review-guide, api-design-coach, security-threat-guide, refactor-guide, docs-interrogator

Each skill has a SKILL.md file and optional references/ for detailed content.

The Shared DNA

All skills in this library share three invariants:

  1. Memory file — each skill maintains a SKILL_MEMORY.md (or session notes) that tracks context across the conversation
  2. Hard refusal layer — each skill explicitly defines what it will never do and why, stated upfront
  3. Deviation philosophy — if a skill is about to break its contract, it must: acknowledge the deviation request → assess why the human wants it → guide forward within the contract

Never break these three invariants when writing or updating a skill.

Validation Commands

# Validate markdown formatting (requires markdownlint-cli)
markdownlint skills/**/*.md

# Check skill frontmatter is valid YAML
head -5 skills/core-inversions/reverse-vibe-coding/SKILL.md

# Verify all skills have required sections
grep -rl "## Purpose" skills/ --include="*.md" | wc -l
grep -rl "## Triggers" skills/ --include="*.md" | wc -l
grep -rl "## Workflow" skills/ --include="*.md" | wc -l
grep -rl "## Hard Refusals" skills/ --include="*.md" | wc -l
grep -rl "## Related" skills/ --include="*.md" | wc -l

Read the full file on GitHub · 144 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. 11d ago First seen · 144 lines · 1,329 tokens per session scan A 94642d54ccd5

Subscribe to this mod's changes

anti-vibe-skills AGENTS.md is an instructions file published in the GitHub repository mohitmishra786/anti-vibe-skills (5 stars, last pushed 6mo ago), licensed MIT. It adds 1,329 tokens to every session, about $0.0066 per session on Opus 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.

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