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.
npx skills add AgenticAIPlan/AgenticAISkills --skill company-lookupgit clone --depth 1 https://github.com/AgenticAIPlan/AgenticAISkillsWrote 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/agenticaiplan/agenticaiskills/company-lookup)<a href="https://agentmods.dev/skills/agenticaiplan/agenticaiskills/company-lookup"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/company-lookup/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/agenticaiplan/agenticaiskills/company-lookup"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/company-lookup.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 | $0.00056 | $0.01042 |
| Opus 5 | $0.00028 | $0.00521 |
| Sonnet 5 | $0.00011 | $0.00208 |
| Haiku 4.5 | $0.00006 | $0.00104 |
Grade A, and why
company-lookup 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 12d 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
Company Lookup
适用场景
当用户需要查询中国企业的工商登记、经营状态、信用风险或基础主体信息时，使用本 Skill。
输入要求
- 公司全称
- 如用户仅提供简称、品牌名或模糊名称，需先确认最可能对应的完整企业名称
数据源优先级
| 优先级 | 数据源 | 说明 | 使用策略 |
|---|---|---|---|
| P1 | 国家企业信用信息公示系统 (gsxt.gov.cn) |
工商登记官方数据 | 首选，数据最权威 |
| P2 | 信用中国 (creditchina.gov.cn) |
国家信用数据 | 补充核实失信、处罚等信息 |
| P3 | 联网搜索结果 | 全网公开信息 | 官方渠道不可用时的备选 |
| P4 | 第三方商业平台（天眼查、企查查、启信宝等） | 商业聚合数据 | 仅作参考，需明确标注为非官方数据 |
执行步骤
- 解析用户输入的公司名称，判断是否完整、准确。
- 如果公司名称不完整，先结合上下文匹配最可能的完整公司名称，并在结果中说明实际查询对象。
- 先访问 P1、P2 官方渠道，提取统一社会信用代码、法定代表人、注册资本、企业类型、成立日期、核准日期、经营状态、经营范围、注册地址、登记机关、经营异常及严重违法失信记录等关键信息。
- 如果官方渠道不可用或返回信息不足，再使用联网搜索和页面抓取能力检索公开网页、新闻、公告和政府站点内容。
- 如仍缺少必要信息，再参考第三方商业平台，并将其标注为“非官方数据，仅供参考”。
- 对不同来源信息进行交叉核验：
- 官方数据与其他来源一致时，标记为
已核实 - 仅有非官方数据时，标记为
参考数据 - 多源数据冲突时，明确写出冲突点，并说明应以官方渠道为准
- 官方数据与其他来源一致时，标记为
- 输出时必须写明查询时间、数据来源和无法确认的字段，不得编造缺失信息。
查询字段
- 统一社会信用代码
- 公司名称
- 公司类型
- 法定代表人或执行事务合伙人
- 注册资本
- 成立日期
- 核准日期
- 经营状态
- 经营范围
- 注册地址
- 登记机关
- 经营异常名录情况
- 严重违法失信名单情况
- 行政处罚记录
- 年报状态
输出要求
输出采用结构化结果，至少包含以下内容：
- 查询公司名称与实际查询对象
- 查询时间
- 使用到的数据来源层级
- 基本信息表
- 经营信息表
- 信用信息表
- 数据说明与来源说明
- 无法获取或无法确认的字段列表
每个字段都要明确标注：
- 数据状态：
✅ 已核实或⚠️ 参考数据 - 数据来源：具体网站或平台名称
错误处理
- 未找到公司时，说明可能原因，并提示用户补充更完整的公司名称
- 官方渠道暂时不可用时，说明已启用备选查询方案，并提醒用户关键决策建议以后续官方结果为准
- 仅获取到部分信息时，列出无法确认的字段，避免给出未经核实的结论
交互原则
- 主动确认模糊公司名称，避免误查
- 优先使用官方渠道，非官方来源只作补充
- 明确标注数据来源、时间和置信度
- 对关键信息保持保守，不确定时直接说明无法确认
- 用户指出结果有误时，建议以官方渠道最新结果为准并重新核验
相关链接
官方渠道：
- 国家企业信用信息公示系统: https://www.gsxt.gov.cn
- 信用中国: https://www.creditchina.gov.cn
- 国家市场监督管理总局: https://www.samr.gov.cn
第三方平台（仅供参考）：
- 天眼查: https://www.tianyancha.com
- 企查查: https://www.qcc.com
- 启信宝: https://www.qixin.com
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.
- 12d ago First seen · 102 lines · 56 tokens per session scan A d3fb954b516d
company-lookup is a skill published in the GitHub repository AgenticAIPlan/AgenticAISkills (11 stars, last pushed 3mo ago), licensed MIT. It adds 56 tokens to every session and 1,042 once invoked, about $0.0003 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.
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