Borrowing it
Nothing to install: this file belongs to Lambenthan/empiricalwiki. 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/Lambenthan/empiricalwiki/main/AGENTS.mdgit clone --depth 1 https://github.com/Lambenthan/empiricalwikiWrote 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/lambenthan/empiricalwiki/agents-md)<a href="https://agentmods.dev/instructions/lambenthan/empiricalwiki/agents-md"><img src="https://agentmods.dev/badge/instructions/lambenthan/empiricalwiki/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/lambenthan/empiricalwiki/agents-md"><img src="https://agentmods.dev/badge/instructions/lambenthan/empiricalwiki/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 | $0.00523 | $0.00523 |
| Opus 5.5 | $0.00209 | $0.00209 |
| Sonnet 5.5 | $0.00105 | $0.00105 |
| Haiku 4.5 | $0.00052 | $0.00052 |
Grade A, and why
empiricalwiki 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.
What it actually says
EmpiricalWiki — Agent Entry Point
This file exists so that any coding agent (Codex, Cursor, Claude Code, ...) can operate this repo. The authoritative runtime schema lives in
CLAUDE.md— read it first and follow it exactly. Everything below is a minimal orientation, not a replacement.
What this repo is
A Karpathy-style LLM wiki specialized for empirical research in accounting, finance, management, and economics. Three layers:
raw/— user-owned sources (PDF/tex). Read-only for agents, with two exceptions: external fetches go toraw/discovered/, generated sidecars go toraw/tmp/(append-only).wiki/— the LLM-maintained, compounding artifact. Typed markdown pages with strict frontmatter and bidirectional[[wikilinks]].- Schema —
CLAUDE.md+.claude/skills/*/SKILL.mddefine how to read, write, and link.
Hard constraints (full list in CLAUDE.md)
raw/papers/,raw/notes/,raw/web/are user-owned: never modify or overwrite.wiki/graph/is derived state: never hand-edit; maintain it only throughtools/research_wiki.py(add-edge,add-citation,rebuild-context-brief,rebuild-open-questions).- Every forward link requires its backward link (cross-reference table in CLAUDE.md).
wiki/index.mdis updated on every ingest;wiki/log.mdis append-only.- Page templates:
docs/runtime-page-templates.zh.md. Theory-paper skeleton:docs/runtime-theory-skeleton.zh.md.
Operations
- Skills (slash commands) live in
.claude/skills/<name>/SKILL.md. Agents without a skill runner can open the SKILL.md and follow it as a procedure. Core loop: ingest (/empirical-ingest,/theory-ingest,/ingest) → query (/ask) → lint (/check). - Setup:
./setup.sh --lang zh(Windows:setup.ps1 -Lang zh). - Python: prefer
.venv/bin/python; tools auto-load~/.envand project.envviatools/_env.py. - Local website view of the wiki:
tools/view.sh(Quartz, read-only).
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 · 29 lines · 523 tokens per session scan A ee64e78b9552
empiricalwiki AGENTS.md is an instructions file published in the GitHub repository Lambenthan/empiricalwiki (96 stars, last pushed 4mo ago), licensed MIT. It adds 523 tokens to every session, about $0.0021 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 2026-08-30.
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.