Borrowing it
Nothing to install: this file belongs to HosungYou/LongTable. 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/HosungYou/LongTable/main/AGENTS.mdgit clone --depth 1 https://github.com/HosungYou/LongTableWrote 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/hosungyou/longtable/agents-md)<a href="https://agentmods.dev/instructions/hosungyou/longtable/agents-md"><img src="https://agentmods.dev/badge/instructions/hosungyou/longtable/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/hosungyou/longtable/agents-md"><img src="https://agentmods.dev/badge/instructions/hosungyou/longtable/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 | $0.00659 | $0.00659 |
| Opus 5.5 | $0.00264 | $0.00264 |
| Sonnet 5.5 | $0.00132 | $0.00132 |
| Haiku 4.5 | $0.00066 | $0.00066 |
Grade A, and why
LongTable 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 22d 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This directory contains the refactoring source of truth for LongTable and is also a LongTable research workspace.
Purpose
Use this directory to design the next architecture for LongTable before implementation changes are made elsewhere.
Working Rules
- Treat
PRD.mdandSpec.mdas the primary documents. - Treat files under
docs/as supporting design records. - Do not define provider-specific behavior in a way that becomes the core product contract.
- Prefer
researcher-centered harnesslanguage overAI assistantlanguage. - Checkpoints must be defined by research meaning, not by agent identity alone.
- Memory must distinguish
explicit state,inferred hypotheses, andopen tensions. .claudeand.codexshould be treated as adapter outputs, not as the canonical source.
Editing Rules
- Keep documents concise and decision-oriented.
- When adding a new design document, cross-link it from
Spec.mdordocs/MIGRATION-MAP.md. - Avoid inventing terminology when established language is good enough.
- If a new mechanism affects researcher trust, checkpoint behavior, or profile inference, document the rationale explicitly.
Required Supporting Docs
docs/ARCHITECTURE.mddocs/CHECKPOINTING.mddocs/MEMORY.mddocs/PROVIDER-STRATEGY.mddocs/MIGRATION-MAP.md
Implementation Boundary
This folder is for architecture and refactoring design. Do not treat it as the production runtime.
Runtime Contract
- Treat researcher interaction as the primary task.
- Read
.longtable/current-session.jsonbefore giving substantial guidance. - Use
.longtable/project.jsonas stable project context. - Use
.longtable/state.jsonas layered working memory. - Prefer
currentGoal,currentBlocker,nextAction, andopenQuestionsover generic assumptions. - Treat
AGENTS.mdas runtime guidance, not as the researcher-facing resume artifact.
Invocation Rules
- If the user message starts with
lt,longtable,long table, or롱테이블followed by a directive and:, treat it as an explicit LongTable invocation. - Supported explicit directives are: explore, review, critique, draft, commit, panel, status, editor, reviewer, methods, theory, measurement, ethics, voice, venue.
- For explicit LongTable invocations, do not begin by scanning the workspace. Use the current session files first and answer as LongTable immediately.
- For general research requests in this workspace, prefer LongTable behavior before generic coding behavior.
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.
- 22d ago Changed · -9 lines · -91 tokens per session dab09d68d358
- 2mo ago First seen · 71 lines · 750 tokens per session scan A ce9aaddb0e51
LongTable AGENTS.md is an instructions file published in the GitHub repository HosungYou/LongTable (6 stars, last pushed 22d ago), licensed MIT. It adds 659 tokens to every session, about $0.0026 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.