Borrowing it
Nothing to install: this file belongs to imMamdouhaboammar/get-fable. 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/imMamdouhaboammar/get-fable/master/AGENTS.mdgit clone --depth 1 https://github.com/imMamdouhaboammar/get-fableWrote 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/immamdouhaboammar/get-fable/agents-md)<a href="https://agentmods.dev/instructions/immamdouhaboammar/get-fable/agents-md"><img src="https://agentmods.dev/badge/instructions/immamdouhaboammar/get-fable/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/immamdouhaboammar/get-fable/agents-md"><img src="https://agentmods.dev/badge/instructions/immamdouhaboammar/get-fable/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 | $0.00733 | $0.00733 |
| Opus 5 | $0.00367 | $0.00367 |
| Sonnet 5 | $0.00147 | $0.00147 |
| Haiku 4.5 | $0.00073 | $0.00073 |
Grade A, and why
get-fable 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
get-fable repository instructions
Purpose
This repository provides an inspectable coding lifecycle for AI-assisted software work. Keep every capability claim tied to implemented behavior and current evidence.
Working contract
- Use root
skills/andskills/get-fable/registry.jsonas the canonical workflow source. - Route by the missing evidence or decision rather than loading every skill.
- Resolve repository unknowns with
fable-discoverand current external facts withfable-researchbefore they influence architecture. - Use bounded cards for broad work and
fable-tddfor meaningfully testable behavior changes. - Delegate only independent work with explicit ownership and acceptance.
- Treat verification, code review, security review, release readiness, handoff, and agent-control evaluation as separate claims.
- Keep durable task state in
docs/SPEC.md,.fable/LEDGER.md,.fable/PROGRESS.md, and.fable/state.jsonwhen the project is initialized. - Record workspace mutation generations and require fresh completion-capable evidence after the final mutation.
- On repeated failure, diagnose harness and execution-path problems before another product edit.
- Preserve existing user-owned configuration. Installation and initialization must remain explicit and idempotent.
- Do not add credentials, private MCP configuration, raw prompts/transcripts to evidence state, local absolute paths, or unsupported vendor/model claims.
- Do not describe reusable Markdown assets as automatic integration unless installer/runtime support exists in source.
Canonical lifecycle packs
Core:
$get-fable$fable-discover$fable-plan$fable-execute$fable-verify$fable-recover
Intelligence:
$fable-research
Build:
$fable-tdd$fable-delegate
Proof:
$fable-review$fable-security
Delivery:
$fable-release$fable-handoff
Evolution:
$fable-eval
Host-specific files may adapt this graph but must not fork its semantics.
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 · 83 lines · 733 tokens per session scan A 4242d5c351b5
get-fable AGENTS.md is an instructions file published in the GitHub repository imMamdouhaboammar/get-fable (3 stars, last pushed 4d ago), licensed MIT. It adds 733 tokens to every session, about $0.0037 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.
Other instructions, from other repositories
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.
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.