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WEIPING_LAB CLAUDE.md

WEIPING_LAB CLAUDE.md is an instructions file for coding agents from appleweiping/WEIPING_LAB. It costs 1,558 tokens per session, scanned A, original, MIT.

Project instructions for Weiping Lab, an autonomous research workbench. They describe how an agent should start a session, find project context, use runtime memory, and treat evidence carefully.

In plain words
What is it for?
Use them when starting, investigating, planning experiments, writing papers, or auditing work in the Weiping Lab repository.
Why use it?
They help prevent unsupported research claims and keep session context in the maintained memory and project documentation.

Instructions file

not rated 120 +1 7d ago A scan 1,558 tokens original MIT
View the source file appleweiping/WEIPING_LAB
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/appleweiping/weiping_lab/claude-md
Clone the repo
git clone --depth 1 https://github.com/appleweiping/WEIPING_LAB

Wrote 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.

agentmods badge for WEIPING_LAB CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/appleweiping/weiping_lab/claude-md.svg)](https://agentmods.dev/instructions/appleweiping/weiping_lab/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/appleweiping/weiping_lab/claude-md"><img src="https://agentmods.dev/badge/instructions/appleweiping/weiping_lab/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,558 This file is loaded in full into every session.
When invoked 1,558 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.01558 $0.01558
Opus 5 $0.00779 $0.00779
Sonnet 5 $0.00312 $0.00312
Haiku 4.5 $0.00156 $0.00156

Measured 4d ago against content hash 3f4415c28dc8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

WEIPING_LAB CLAUDE.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 4d 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.

CLAUDE.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md - WEIPING_LAB

Weiping Lab is an autonomous research workbench. Treat it as software that assists research, not as an authority that can invent evidence.

Session Start

  1. Run agentmemory recall for the current task when past context matters.
  2. Read the smallest relevant project files for current truth: AGENTS.md, README.md, pyproject.toml, lab/runtime.py, lab/core/config.py, and the files you will edit.
  3. Run git status --short --branch.
  4. For non-trivial work, follow .codex/skills/weiping-lab/SKILL.md. An external shared resource may be consulted only through an explicitly configured AGENT_RESOURCE_ROOT; it is never required for startup, verification, or release.

Do not depend on retired mailbox or old markdown session systems. Stable public-safe knowledge belongs in project docs or the maintained wiki; local runtime observations belong in active agentmemory or the workspace outbox.

Identity

  • Name: vlab
  • Role: phenomenon-driven research discovery, kill-first ideation, experiment planning, evidence-gated paper writing, and audit support
  • Runtime memory: active agentmemory via AGENTMEMORY_URL
  • Local fallback: redacted agentmemory-outbox.jsonl under the configured workspace memory directory
  • Workspace: WEIPING_LAB_WORKSPACE_ROOT or ./workspace; legacy VIPIN_LAB_WORKSPACE_ROOT remains a fallback

Never store API keys, bearer tokens, account secrets, raw private logs, or private documents in memory or tracked source.

Quick Start

cd WEIPING_LAB
python -m pip install -e ".[dev]"
copy .env.example .env

vlab status --json
uvicorn api.server:app --reload --port 8001
npm --prefix ui run dev

Common commands:

vlab discover "LLM4Rec"
vlab extend "LLM4Rec" --method "..." --results "..." --limits "..."
vlab transfer "conformal prediction" "LLM4Rec"
vlab pipeline <idea_id>
vlab resume <idea_id>
vlab ideas
vlab sessions
vlab show <session_id>
python scripts/release_scan.py

Architecture

Read the full file on GitHub · 170 lines

Changes

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.

  1. 4d ago First seen · 170 lines · 1,558 tokens per session scan A 3f4415c28dc8

Subscribe to this mod's changes

WEIPING_LAB CLAUDE.md is an instructions file published in the GitHub repository appleweiping/WEIPING_LAB (120 stars, last pushed 7d ago), licensed MIT. It adds 1,558 tokens to every session, about $0.0078 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 2026-08-30.

Research
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