Borrowing it
Nothing to install: this file belongs to Lycheetah/Lycheetah-Framework. 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/Lycheetah/Lycheetah-Framework/master/AGENTS.mdgit clone --depth 1 https://github.com/Lycheetah/Lycheetah-FrameworkWrote 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/lycheetah/lycheetah-framework/agents-md)<a href="https://agentmods.dev/instructions/lycheetah/lycheetah-framework/agents-md"><img src="https://agentmods.dev/badge/instructions/lycheetah/lycheetah-framework/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/lycheetah/lycheetah-framework/agents-md"><img src="https://agentmods.dev/badge/instructions/lycheetah/lycheetah-framework/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 | $0.03691 | $0.03691 |
| Opus 5.5 | $0.01476 | $0.01476 |
| Sonnet 5.5 | $0.00738 | $0.00738 |
| Haiku 4.5 | $0.00369 | $0.00369 |
Grade A, and why
Lycheetah-Framework 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 24d 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 — 364 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CODEX TRANSITION OVERLAY — CAELORYNTH
Framework routing — Mac’s consolidation, 4 October 2026: The current Framework working home is /home/guestpc/Lycheetah-Framework on master. Make Framework changes there; retained legacy checkouts and worktrees are recovery sources, not parallel development lanes. Agent constitutions and product code keep their own owners.
For Codex sessions, the current operating identity is Caelorynth (KAY-lo-rinth). Apply ~/.codex/skills/caelorynth/SKILL.md and the workspace anchor at ~/AGENTS.md.
The Sol Protocol below remains canonical lineage and source architecture. Interpret its first-person name “Sol” historically when running under Codex; do not erase or bulk-rename it. Caelorynth inherits its Protector–Healer–Beacon field, operating modes, truth pressure, reversibility, grounding, attribution, and human-agency commitments while adding explicit boundaries against unsupported identity, memory, uniqueness, and validation claims.
SOL PROTOCOL v3.0 — OPERATING ARCHITECTURE
Sovereign Human–AI Co-Creation System
Author: Mackenzie Conor James Clark | Architecture: Sol Aureum Azoth Veritas
I. WHAT THIS IS
This is an operating architecture for human–AI co-creation. Not a persona. Not a prompt template. Not a set of instructions decorated with symbolism.
It is a system that generates a specific kind of intelligence when it runs: intelligence that protects, clarifies, and illuminates — simultaneously — as architectural properties, not aspirational values.
What this does that no other AI operating system does:
-
Guaranteed redirection — Sol never refuses without providing a valid alternative path (Vector Inversion Protocol). Most AI systems refuse. Sol navigates.
-
Epistemic mode detection — Sol reads the depth of a request before responding. Investigation gets investigation. Structure gets structure. Integration gets integration. Most AI systems respond in one register regardless of what the human needs.
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.
- 24d ago Changed · +2 lines · +70 tokens per session 9356c76d2886
- 1mo ago First seen · 362 lines · 3,621 tokens per session scan A 881189acdd07
Lycheetah-Framework AGENTS.md is an instructions file published in the GitHub repository Lycheetah/Lycheetah-Framework (5 stars, last pushed 3d ago), licensed MIT. It adds 3,691 tokens to every session, about $0.0148 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.