WEIPING_LAB: Skill for Codex

.codex/skills/weiping-lab/SKILL.md

weiping-lab is a skill for Codex from appleweiping/WEIPING_LAB. It costs 26 tokens per session (1,076 once invoked), scanned A, original, MIT.

A project guide for working on Weiping Lab, a research workbench. It covers planning, design, testing, release, maintenance, monitoring, and iteration.

In plain words
What is it for?
It helps contributors inspect the project, plan a version-sized change, manage environment-based settings, route memory safely, and follow the project's research gates.
Why use it?
It keeps research changes reproducible and based on recorded evidence while avoiding private configuration and retired systems.

Skill for Codex

Written for Codex: installed under .codex/. Also seen: mentions CLAUDE.md; mentions AGENTS.md.

This is appleweiping/WEIPING_LAB's own configuration. It tells Codex how to work on WEIPING_LAB itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything WEIPING_LAB configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python scripts/release_scan.py.

Reuse

Borrowing it

Nothing to install: this file belongs to appleweiping/WEIPING_LAB. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/appleweiping/WEIPING_LAB/master/.codex/skills/weiping-lab/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/appleweiping/WEIPING_LAB

Made for: Codex.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/appleweiping/weiping_lab/weiping-lab/github.svg)](https://agentmods.dev/skills/appleweiping/weiping_lab/weiping-lab)
Your own site
<a href="https://agentmods.dev/skills/appleweiping/weiping_lab/weiping-lab"><img src="https://agentmods.dev/badge/skills/appleweiping/weiping_lab/weiping-lab/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.

agentmods 80×15 button for weiping-lab

Your own site · 80×15
<a href="https://agentmods.dev/skills/appleweiping/weiping_lab/weiping-lab"><img src="https://agentmods.dev/badge/skills/appleweiping/weiping_lab/weiping-lab.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,076 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00026 $0.01076
Opus 5.5 $0.00010 $0.00430
Sonnet 5.5 $0.00005 $0.00215
Haiku 4.5 $0.00003 $0.00108

Measured 2mo ago against content hash 70447f393f8d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

weiping-lab 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 2mo 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.

.codex/skills/weiping-lab/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Weiping Lab Project Skill

Use this skill for any non-trivial change to Weiping Lab. The goal is an honest research workbench: public-safe config, explicit evidence gates, reproducible workspace state, and no hidden dependency on retired collaboration systems.

1. Plan

  • Read AGENTS.md, README.md, CLAUDE.md, pyproject.toml, lab/core/config.py, and lab/runtime.py.
  • Run git status --short --branch and do not disturb unrelated user changes.
  • Define one version-sized outcome. Avoid tiny isolated tweaks unless the user explicitly asks for one.
  • Identify any relation to WEIPING_WIKI, WEIPING_COUNCIL, AGENT_RESOURCE, AGENTIC_SCIENCE, or deepseek-cli; use current files as evidence, not memory alone. Treat historical vipin-* references as compatibility aliases only.

2. Design

  • Keep runtime configuration env-driven. Never add tracked private keys, endpoints, account names, or secret-shaped placeholders.
  • Keep active memory routed through agentmemory. Local fallback may be an outbox under the configured workspace only; do not restore retired Agent Hub mailboxes or old markdown session dumps.
  • Preserve the research gate sequence: phenomenon, kill-first, refine, experiment plan, bridge, results, paper write, review, citation audit, claim audit.
  • Preserve docs/RESULT_CONTRACT.md: result files are untrusted, evidence labels are computed locally, and empirical claims require persisted links to paper_result block IDs.
  • Make every new check observable through CLI, API, tests, or release scan.
  • Keep cross-project links low-coupling: route maps, optional context variables, validation commands, and artifact formats are acceptable; private .env files, local DBs, caches, generated reports, and active services are not.

3. Develop

  • Prefer scoped edits in lab/, api/, cli/, ui/, tests/, scripts/, and docs.
  • Use apply_patch for manual edits.
  • If lab/workspace/ source files are touched, verify they are not gitignored.
  • Redact provider errors and persisted diagnostics before writing logs or outbox records.
  • Use atomic replacement for durable JSON checkpoints. Never treat a partial result set, a producer-supplied label, or a partial model rubric as a passing gate.
  • Bind READY state to the exact plan, paper, and result artifact hashes; any later mutation must downgrade the checkpoint and force deterministic evidence validation again.

Read the full file on GitHub · 82 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. 2mo ago First seen · 82 lines · 26 tokens per session scan A 70447f393f8d

Subscribe to this mod's changes

weiping-lab is a skill published in the GitHub repository appleweiping/WEIPING_LAB (117 stars, last pushed 2mo ago), licensed MIT. It adds 26 tokens to every session and 1,076 once invoked, about $0.0001 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.

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