food-label-review

food-label-review is a skill for Claude Code, Codex from ThomasMoreAI/legal-skills-open. It costs 137 tokens per session (4,127 once invoked), scanned A, original, Apache-2.0.

A compliance review process for prepackaged food labels under China's GB 7718 and GB 28050 standards. It checks general label information and nutrition information after determining which standard version and product category apply.

In plain words
What is it for?
It is for reviewing label text, images, or documents, including food names, ingredients, net contents, dates, storage conditions, and nutrition declarations.
Why use it?
It helps find missing, incorrect, or potentially non-compliant label content before a product is released. The applicable standard version must be confirmed because the 2011 and 2025 versions differ.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: names the AskUserQuestion tool.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is node scripts/generate_report.js <input.json> [output.docx].

Good fit It is for reviewing label text, images, or documents, including food names, ingredients, net contents, dates, storage conditions, and nutrition declarations.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-open
agentmods
npx agentmods add skills/thomasmoreai/legal-skills-open/food-label-review

Made for: Claude Code, 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 food-label-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/food-label-review/github.svg)](https://agentmods.dev/skills/thomasmoreai/legal-skills-open/food-label-review)
Your own site
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/food-label-review"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/food-label-review/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 food-label-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/food-label-review"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/food-label-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 137 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,127 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 $0.00137 $0.04127
Opus 5 $0.00068 $0.02063
Sonnet 5 $0.00027 $0.00825
Haiku 4.5 $0.00014 $0.00413

Measured 9d ago against content hash f84a40e4127b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

food-label-review 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 9d 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.

cn/regulatory/skills/food-label-review/SKILL.md · 309 lines

How it starts

The opening of the file, as written. The whole thing — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.

预包装食品标签合规审核

对食品标签素材进行四阶段流水线审核:版本确定与预筛 → 一般标签审核 → 营养标签审核 → 生成报告。

审核流程

输入食品标签素材(照片描述/文字/文档)
    │
    ▼
[阶段一] 版本确定与预筛
    │  确定适用版本(2011/2025) → 识别标签类别 → 检查豁免
    │
    ▼
[阶段二] 一般标签审核 (GB 7718)
    │  2a. 必标项完整性核查(有没有)
    │  2b. 逐项内容合规审核(对不对)
    │
    ▼
[阶段三] 营养标签审核 (GB 28050)
    │  3a. 必标项完整性核查(有没有)
    │  3b. 逐项内容合规审核(对不对)
    │
    ▼
[阶段四] 生成审核报告

阶段一:版本确定与预筛

读取 references/00-版本选择与适用范围.md

执行步骤:

  1. 版本确定(二选一,不做对比审核):

    • 2011 版:GB 7718-2011 + GB 28050-2011
    • 2025 版:GB 7718-2025 + GB 28050-2025
    • 必须通过 AskUserQuestion 让用户确认适用版本,不得自行推断。 当前处于 2011→2025 过渡期,同一企业可能部分产品适用旧版、部分适用新版,版本选择直接影响审核结论,须由用户(委托方)明确指定。
  2. 标签类别识别(三选一):

    • 直接提供给消费者 — 标准完整要求
    • 非直接提供给消费者(B2B) — 简化标示(仅需食品名称、净含量/规格、生产日期、保质期、贮存条件)
    • 进口预包装食品 — 额外要求(原产国、进口商信息、中文标签等)
  3. 豁免检查

    • 一般标签小包装豁免:≤20cm²(2025) / <10cm²(2011)
    • 营养标签豁免:按 references/00 中的豁免条件判定 → 豁免则跳过阶段三
    • 保质期豁免:部分酒类等

输出: 版本标签 + 类别标签 + 豁免状态 + 需执行的审核模块列表

阶段二:一般标签审核 (GB 7718)

2a. 必标项完整性核查

在进入逐项审核前,先对照必标项清单,确认标签上是否存在以下法定必标项。缺失任一必标项即标记高风险。

直接提供给消费者的预包装食品:

# 必标项 2011 2025 备注
1 食品名称 必标 必标
2 配料表 必标 必标 单一配料可豁免
3 净含量和规格 必标 必标
4 生产者/经营者名称、地址、联系方式 必标 必标
5 生产日期 必标 必标 部分酒类可豁免(2025)
6 保质期 必标 必标 部分酒类/食醋/食盐等可豁免
7 贮存条件 必标 必标
8 食品生产许可证编号 必标 必标 进口食品可豁免
9 产品标准代号 必标 必标 进口食品可豁免
10 致敏物质 推荐 必标 2025 升级为强制

B2B(非直接提供):仅需 #1、#3、#5、#6、#7。

小包装豁免:按 references/00 中规定的可简化标示项目。

将缺失项全部记录后,进入 2b。

2b. 逐项内容合规审核

按固定顺序加载对应版本的 references,对每个已存在的标签项目审核内容是否合规:

# 审核项目 2011 文件 2025 文件
1 食品名称 01-食品名称-2011 01-食品名称-2025
2 配料表 02-配料表-2011 02-配料表-2025
3 日期与保质期 03-日期与保质期-2011 03-日期与保质期-2025
4 净含量与规格 04-净含量与规格 同左
5 生产者/经营者 05-生产者经营者信息-2011 05-生产者经营者信息-2025
6 贮存条件/许可证 06-贮存条件与许可证 同左
7 致敏物质 07-致敏物质-2011 07-致敏物质-2025
8 辐照/转基因 11-辐照与转基因 同左

Read the full file on GitHub · 309 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. 9d ago First seen · 309 lines · 137 tokens per session scan A f84a40e4127b

Subscribe to this mod's changes

food-label-review is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (72 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 137 tokens to every session and 4,127 once invoked, about $0.0007 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 2026-09-03.