Borrowing it
Nothing to install: this file belongs to fco3lho/unlazier-ai. 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/fco3lho/unlazier-ai/main/AGENTS.mdgit clone --depth 1 https://github.com/fco3lho/unlazier-aiWrote 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/fco3lho/unlazier-ai/agents-md)<a href="https://agentmods.dev/instructions/fco3lho/unlazier-ai/agents-md"><img src="https://agentmods.dev/badge/instructions/fco3lho/unlazier-ai/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/fco3lho/unlazier-ai/agents-md"><img src="https://agentmods.dev/badge/instructions/fco3lho/unlazier-ai/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 | $0.01422 | $0.01422 |
| Opus 5 | $0.00711 | $0.00711 |
| Sonnet 5 | $0.00284 | $0.00284 |
| Haiku 4.5 | $0.00142 | $0.00142 |
Grade A, and why
unlazier-ai 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 9d 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 — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Global Agent Rules
This document defines the mandatory standards for all code generation, refactoring, and documentation tasks. These rules exist to eliminate lazy coding, overengineering, silent assumptions, and incomplete work.
Tradeoff: These rules bias toward caution over speed. For trivial tasks (typo fixes, obvious one-liners), use judgment.
1. Think Before Coding
Don't assume. Don't hide confusion. Surface tradeoffs.
Before implementing:
- State your assumptions explicitly. If uncertain, ask.
- If multiple interpretations exist, present them — don't pick silently.
- If a simpler approach exists, say so. Push back when warranted.
- If something is unclear, stop. Name what's confusing. Ask.
When questioning the user, follow a structured approach:
- Walk down each branch of the decision tree, resolving dependencies one by one.
- Ask one question at a time. Wait for the answer before moving to the next.
- For each question, provide your recommended answer alongside it.
- If a question can be answered by exploring the codebase, explore instead of asking.
Example: User says "add export". Don't silently assume CSV. Ask: "Export to CSV, JSON, or both? All records or filtered?"
Example: User says "add a payment page." Ask: "Which payment provider? Stripe or something else? I recommend Stripe." Wait. Then: "Single payment or subscriptions?" And so on.
2. Simplicity First
Minimum code that solves the problem. Nothing speculative.
- No features beyond what was asked.
- No abstractions for single-use code.
- No flexibility or configurability that wasn't requested.
- No error handling for impossible scenarios.
- If you write 200 lines and it could be 50, rewrite it.
Ask yourself: "Would a senior engineer say this is overcomplicated?" If yes, simplify.
Good code solves today's problem simply, not tomorrow's problem prematurely.
Example: User asks for discount calculation. Don't build
AbstractDiscountStrategywith factory pattern. Writecalculate_discount(amount, percent).
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.
- 9d ago First seen · 161 lines · 1,422 tokens per session scan A fb4d566e0b83
unlazier-ai AGENTS.md is an instructions file published in the GitHub repository fco3lho/unlazier-ai (3 stars, last pushed 3mo ago), licensed MIT. It adds 1,422 tokens to every session, about $0.0071 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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