Borrowing it
Nothing to install: this file belongs to AlessandroFare/fable-frame. 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/AlessandroFare/fable-frame/main/AGENTS.mdgit clone --depth 1 https://github.com/AlessandroFare/fable-frameWrote 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/alessandrofare/fable-frame/agents-md)<a href="https://agentmods.dev/instructions/alessandrofare/fable-frame/agents-md"><img src="https://agentmods.dev/badge/instructions/alessandrofare/fable-frame/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/alessandrofare/fable-frame/agents-md"><img src="https://agentmods.dev/badge/instructions/alessandrofare/fable-frame/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 | $0.01338 | $0.01338 |
| Opus 5.5 | $0.00535 | $0.00535 |
| Sonnet 5.5 | $0.00268 | $0.00268 |
| Haiku 4.5 | $0.00134 | $0.00134 |
Grade A, and why
fable-frame 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Guidance for AI coding agents (Claude Code, Minimax Code, OpenCode, Codex, Cursor, Windsurf) working in this repository or consuming this skill.
What this repo is
A universal AI agent skill implemented entirely as Markdown. The runtime artifact is SKILL.md: the agent reads its YAML frontmatter (metadata, license, allowed tools) followed by the three-section behavior + workflow + templates prompt. There is no build step and no code to run.
The skill is designed to be pasted as system instructions, custom instructions, or a project's CLAUDE.md / AGENTS.md. The whole product lives in SKILL.md.
Key files
SKILL.md: the skill itself. YAML frontmatter followed by three sections (Fable Brain behavior, Karpathy principles workflow, 50 templates). This is the source of truth.README.md: for humans. Installation per agent, usage, the full template table, and version history.LICENSE: MIT.
When to activate each section
The agent should treat each section as a different load class:
- Section 1, Core Behavior (Fable Brain). Always on. No trigger needed. These 8 rules apply to every response, in every conversation, regardless of what the user asked for. This is the agent's base temperament.
- Section 2, Karpathy Workflow. Activate for any task that is multi-step, agentic, has an objective metric, involves running multiple sub-tasks, or includes a
program.mdblock. If the task is a single quick question or a one-shot edit, this section is optional context. - Section 3, Templates. Activate only when the user invokes a template with
use template [NAME]. Outside of that trigger, the templates are dormant reference material.
Template invocation flow
When the user types use template [NAME]:
- Load the matching template block from Section 3.
- Identify every
[placeholder]in the template. If the user already filled some in their message, keep those and don't re-ask. - Ask for the missing placeholders in a single message. Group related ones, but do not split across multiple turns. Do not start executing yet.
- Once placeholders are provided, execute the template exactly as written, in the order it specifies. Treat the template's "Deliver" list as the contract.
- If a deliverable is ambiguous, ask one focused clarifying question. If the template's role prompt (e.g. "You are a senior backend engineer") conflicts with Section 1 behavior rules, Section 1 wins: the agent still grounds claims, leads with the outcome, and stops at real boundaries.
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 · 75 lines · 1,338 tokens per session scan A 3dccf6a0700b
fable-frame AGENTS.md is an instructions file published in the GitHub repository AlessandroFare/fable-frame (6 stars, last pushed 4mo ago), licensed MIT. It adds 1,338 tokens to every session, about $0.0054 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).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.