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.
curl -O https://raw.githubusercontent.com/appleweiping/WEIPING_LAB/master/.codex/skills/weiping-lab/SKILL.mdgit clone --depth 1 https://github.com/appleweiping/WEIPING_LABWrote 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/skills/appleweiping/weiping_lab/weiping-lab)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.00026 | $0.01076 |
| Opus 5.5 | $0.00010 | $0.00430 |
| Sonnet 5.5 | $0.00005 | $0.00215 |
| Haiku 4.5 | $0.00003 | $0.00108 |
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.
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, andlab/runtime.py. - Run
git status --short --branchand 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, ordeepseek-cli; use current files as evidence, not memory alone. Treat historicalvipin-*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 topaper_resultblock 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
.envfiles, 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_patchfor 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.
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.
- 2mo ago First seen · 82 lines · 26 tokens per session scan A 70447f393f8d
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.
weiping-lab compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| weiping-labappleweiping/WEIPING_LAB | Skill | 117 | 2mo ago | MIT | A | 26 | Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |