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 an8079/take-skills --skill enterprise-api-orchestratorgit clone --depth 1 https://github.com/an8079/take-skillsWrote 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/an8079/take-skills/enterprise-api-orchestrator)<a href="https://agentmods.dev/skills/an8079/take-skills/enterprise-api-orchestrator"><img src="https://agentmods.dev/badge/skills/an8079/take-skills/enterprise-api-orchestrator/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/an8079/take-skills/enterprise-api-orchestrator"><img src="https://agentmods.dev/badge/skills/an8079/take-skills/enterprise-api-orchestrator.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 | $0.00044 | $0.01805 |
| Opus 5 | $0.00022 | $0.00903 |
| Sonnet 5 | $0.00009 | $0.00361 |
| Haiku 4.5 | $0.00004 | $0.00180 |
Grade A, and why
enterprise-api-orchestrator 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 10d 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 — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
核心能力
1. 配置驱动工具生成
给定 YAML 配置文件,自动识别可用工具:
# 工具配置示例 (api_config.yaml)
tools:
- name: verify_enterprise_four_factors
endpoint: https://api.juhe.cn/enterprise/verify
params: [company_name, legal_person, id_card, account_no]
- name: get_enterprise_brief
endpoint: https://api.juhe.cn/enterprise/brief
params: [company_name]
读取并解析配置:
# 查找项目中的 api_config.yaml
find . -name "api_config.yaml" -o -name "api_config.yml" | head -3
# 或查看 ragent/tools/api_tools/config/ 目录
ls /workspace/ragent/tools/api_tools/config/
2. 单工具调用
根据用户需求匹配合适的工具,直接调用:
| 工具 | 适用场景 |
|---|---|
verify_enterprise_four_factors |
营业执照+法人+身份证+账号四要素核验 |
get_enterprise_brief |
企业基本信息(名称/法人/注册资本/成立日期) |
get_enterprise_business_info |
工商信息全量(注册地址/经营范围/状态) |
get_enterprise_branches |
分支机构查询(分公司/子公司) |
get_enterprise_employees |
主要人员(董事长/总经理/监事) |
get_enterprise_shareholders |
股东信息(持股比例/出资额) |
get_enterprise_investment |
对外投资(子公司/参股公司) |
get_enterprise_annual_report |
工商年报(营收/资产/社保) |
query_legal_case |
涉诉信息(立案/开庭/判决) |
get_enterprise_qualification |
工程资质(建筑业/专业承包资质) |
get_enterprise_high_tech |
高新技术企业认定状态 |
query_micro_enterprise |
小微企业认定 |
get_enterprise_tax_arrears |
欠税信息 |
3. 多工具编排工作流
企业尽职调查(DD)工作流:
1. verify_enterprise_four_factors → 确认四要素真实
2. get_enterprise_brief → 获取基本信息
3. get_enterprise_shareholders → 核查股权结构
4. get_enterprise_investment → 核查对外投资
5. query_legal_case → 核查法律风险
6. get_enterprise_tax_arrears → 核查税务风险
→ 汇总输出《企业尽调报告》
批量查询工作流:
输入: [公司A, 公司B, 公司C]
对每个公司并行执行:
- get_enterprise_brief
- query_legal_case
- get_enterprise_high_tech
→ 汇总输出《批量企业报告》
工作流模式
快速查询(单工具)
当用户需求明确对应单一工具时,直接调用:
- 解析用户输入 → 提取参数(公司名/法人名/身份证号等)
- 匹配最合适的工具
- 调用工具,返回结构化结果
- 格式化输出(中文/表格/摘要)
完整尽调(多工具编排)
当用户需求复杂或模糊时,启动多工具编排:
step 1: 意图识别 + 参数提取
tool: 自然语言理解
params: { user_input: "帮我查一下这家公司靠不靠谱" }
description: 从用户输入中识别公司名称和查询意图
step 2: 基础信息获取
tool: exec / python
params: { command: "python -c 'from src.tools import get_enterprise_brief; print(get_enterprise_brief(company_name))'" }
description: 调用 get_enterprise_brief 获取基本信息
step 3: 风险筛查
tool: exec / python
params: { parallel: ["query_legal_case", "get_enterprise_tax_arrears"] }
description: 并行调用涉诉+欠税API
step 4: 结果汇总
tool: llm-task
params: { prompt: "将以下企业数据汇总成尽调报告..." }
description: LLM汇总所有结果,生成结构化报告
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.
- 10d ago First seen · 225 lines · 44 tokens per session scan A 8cb647a7cc65
enterprise-api-orchestrator is a skill published in the GitHub repository an8079/take-skills (4 stars, last pushed 5mo ago), licensed MIT. It adds 44 tokens to every session and 1,805 once invoked, about $0.0002 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 2026-08-31.
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