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无人机运营合规分类判定器

Name: 无人机运营合规分类判定器
Author: 注册老炮@MedXpert I SynomosAI

作者：注册老炮@MedXpert I SynomosAIv5

无人机运营合规分类判定器——基于官方规则源的零依赖决策支持工具，JSON IR 输出，覆盖TH-UAS-001域。适用场景：当需要无人机运营合规分类判定器能力时使用本技能；触发词：合规、判定器、TH-UAS-001、uas-ops-checker。

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技能文档

---
name: uas-ops-checker
slug: uas-ops-checker
displayName: 无人机运营合规分类判定器
version: 1.0.1
category: it-ops-security
display_name: 无人机运营合规分类判定器
title: 无人机运营合规分类判定器
author: 诺卫(SynomosAI)
author_note: '"SynomosAI" / "SynomosAI" — 未申请实体注册、未申请商标注册（not a registered legal entity; no trademark registered）'
license: MIT
allowed-tools: Read, Glob, Grep, Bash, Write, WebFetch
license_scope: 代码（.py 文件）MIT；本 SKILL.md 与其中理论文本不在 MIT 覆盖范围内（见文末「License & attribution」）
description: 无人机运营合规分类判定器——基于官方规则源的零依赖决策支持工具，JSON IR 输出，覆盖TH-UAS-001域。 适用场景：当需要无人机运营合规分类判定器能力时使用本技能；触发词：合规、判定器、TH-UAS-001、uas-ops-checker。
tags: [合规, 判定器, TH-UAS-001, uas-ops-checker]
description_zh: "无人机运营合规分类判定器——基于官方规则源的零依赖决策支持工具，JSON IR 输出，覆盖TH-UAS-001域。"
description_en: "Drone operation compliance classification determination tool: zero-dependency decision support with JSON IR output (domain TH-UAS-001)."
read_when:
  - 按最大起飞重量/空机重量判定无人机运营合规等级
  - 输入不完整时要从严推定（义务最重者）
  - 自查微型/轻型/小型/中型/大型分类义务清单
  - 需要条款依据（evidence）与人工核对清单
classification:
  skillhub: ["security-compliance"]
  iso_25010: ["Security"]
risk_tier: medium
risk_rationale: "门禁批量补丁默认 medium（内部约定：本 skill 设计为中等风险）：调用 API/读写文件/本地执行，最小权限，密钥走 Secret；若实际涉对外代执行(push/发布/发送/上架)须人工复评，改 high 并走负责人批准。"
platforms: [windows, macos, linux]
platform_compatibility: [windows, macos, linux]
ai_protocol: true
spec: usk/1.0
interface:
  type: cli
  entry_point: uas-ops-checker.py
  runtime: python3
  call_pattern: args
input_schema:
  mtow:
    type: string
    description: "最大起飞重量(kg)"
    required: false
  empty_weight:
    type: string
    description: "空机重量(kg)"
    required: false
  demo:
    type: bool
    description: "跑内置冒烟案例"
    required: false
  json:
    type: bool
    description: "输出 JSON IR（默认）"
    required: false
output_schema:
  stdout: 结构化 JSON IR（含 result / rc / error_code / warnings）
  exit_code: rc=0 正常 / rc=1 告警或从严推定 / rc=2 输入不足或非法
capabilities:
  - drones
  - uas
  - compliance
permissions:
  network: false
  filesystem: false
  subprocess: false
requirements:
  python_packages: []
  min_python: "3.8"
changelog: "1.0.1: Bilingual rewrite (full EN+ZH, English first); 1.0.0: initial upload (USK v3)"
---

> 凡自治之物 · LGD 治理学 · 创造术家族 ｜ 评测协议：skill-quality-gate

## English

> ⚠️ AI-assisted tool, decision reference only — not professional/legal advice, not a compliance certificate. Human review required; official authorities decide.
> Text self-check: 2026-09-26 · clause text per latest official publication.

### I. Pain point
Regulation is written across scattered documents; self-checking is costly and error-prone. This tool turns hard rules into an enumerable classifier.

### II. Boundaries
- Rule determination only, no legal advice; conclusions need human review.
- Rule sources: 《无人驾驶航空器飞行管理暂行条例》(State Council Order 761, effective 2024-01-01) articles 6/12/16/31/32 + CCAR-92 (clause numbers pending human check; always per latest official text).
- **Strict presumption on insufficient input**: with one weight given, concludes the heaviest-obligation plausible grade and warns the possible range (rc=1) — never silently outputs a lenient grade.
- Out of scope: airspace attributes, operator qualifications, insurance, cross-border/commercial review.

### III. Usage
```bash
python uas-ops-checker.py --mtow 5                    # only MTOW → strict presumption, rc=1
python uas-ops-checker.py --mtow 5 --empty_weight 4 # complete → light, rc=0
python uas-ops-checker.py --demo                     # built-in smoke (3 cases)
```
Args: `mtow` (max takeoff weight kg) / `empty_weight` (empty weight kg); at least one.

### IV. Real output (demo case 2 excerpt)
```json
{
  "tool": "uas-ops-checker",
  "input": {"mtow": "5"},
  "result": {
    "grade": "小型 (small)",
    "grade_basis": "strict presumption (incomplete input)",
    "possible_grades": ["micro", "light", "small"],
    "obligations": ["pilot license (per model)", "real-name registration", "mandatory liability insurance", "flight outside suitable airspace needs application"],
    "evidence": ["Interim Reg. art.6", "Interim Reg. art.16", "CCAR-92"],
    "warnings": ["incomplete input; category uses both MTOW and empty weight", "uncertain grade range micro~small; presumed heavy end"]
  },
  "rc": 1
}
```
Three cases: `mtow=0.2` → micro; `mtow=5` → small (strict presumption); `mtow=120` → medium; all rc=1.

### V. Exit codes
| rc | Meaning | Trigger |
|---|---|---|
| 0 | done, no warnings | complete params, micro/light grade |
| 1 | done with warnings | incomplete input (strict presumption) or small/medium/large |
| 2 | input insufficient/invalid | no args, non-numeric, empty > mtow, non-positive |

### VI. FAQ
- Q: Is this a compliance certificate? A: No, decision support only.
- Q: Only one weight? A: strict presumption, rc=1.
- Q: Rules outdated? A: per latest official text; `clause_review_checklist` maps each clause to its use.
- Q: Is identification reporting / flight upload "evidence"? A: No — per LGD semantics, evidence = verifiable basis of governance state transitions, not behavior logs.

### Theory
Every autonomous thing must first be registered, evidenced, gated — drone classification is the birth registration of air governance.

## 中文

> ⚠️ 本工具由 AI 辅助生成，仅供**决策参考**，不构成专业/法律意见，也不构成任何合规证明。输出请人工复核，并以主管部门认定为准。
> 文本核验日期：2026-09-26 · 条款文本以官方最新发布为准。

### 何时用
- 当用户需要无人机运营合规分类判定器相关能力时。
- 触发词：合规、判定器、TH-UAS-001、uas-ops-checker。

### 一、痛点
监管规则白纸黑字但散落多份文件，企业/个人自查成本高、易因错判触雷。本工具把硬规则变成可枚举的判定器。

### 二、能力边界
- 仅做**规则判定**，不做法律意见；结论须人工复核。
- 规则源：`《无人驾驶航空器飞行管理暂行条例》(国务院令761号,2024-01-01施行) 第6/12/16/31/32条 + CCAR-92`（条款号待人工核对）。
- **输入不足时从严推定**：只给一个重量参数时，取「可能等级中义务最重者」作为结论，并在 `warnings` 中明示（`rc=1`）。
- **不覆盖**：空域属性、运营主体资质、保险安排、涉外与商业运营的额外审查项。

### 三、用法
```bash
python uas-ops-checker.py --mtow 5
python uas-ops-checker.py --mtow 5 --empty_weight 4
python uas-ops-checker.py --demo
```
参数：`mtow`（最大起飞重量 kg）/ `empty_weight`（空机重量 kg）；至少给一个。

### 流程
1. 触发：识别无人机运营合规分类判定器相关任务（见「何时用」）。
2. 执行：按「用法」运行uas-ops-checker.py。
3. 校验：核对脚本输出/退出码是否符合预期。
4. 交付：向用户呈现结果/产物。

### 证据与安全声明
- 证据：TBD（暂无评测/徽章链接；产生后在此更新实际链接）
- 版本：1.0.1
- 安全：未做独立安全扫描（TBD），结论待补；补全前不作推荐背书。

使用说明

# uas-ops-checker · 无人机运营合规分类判定器

> AI-assisted decision-support CLI. **NOT legal advice**, **not a compliance proof** — verify against official texts. Text verified: 2026-09-26.


## What it does
Classifies a UAS operation grade per official rules: **《无人驾驶航空器飞行管理暂行条例》(国务院令761号, 2024-01-01施行) 第6/12/16/31/32条 + CCAR-92** (clause numbers pending manual verification — see `clause_review_checklist` in the output; official texts prevail).

- Grades: 微型 / 轻型 / 小型 / 中型 / 大型.
- **Insufficient input → strict presumption (从严推定)**: with only one weight argument the tool returns the **most obligation-heavy grade** among the physically possible ones, states the possible range in `warnings`, and sets `rc=1`. It never silently returns a lenient grade.
- **Out of scope**: airspace class (friendly / controlled), operator qualifications, insurance, foreign-related or commercial-operation extra review.

## Install & run (zero-dependency, Python 3.8+)
```bash
python uas-ops-checker.py --demo                     # 3 built-in smoke cases
python uas-ops-checker.py --mtow 5                    # single arg → strict presumption, rc=1
python uas-ops-checker.py --mtow 5 --empty_weight 4    # complete args → 轻型, rc=0
```

## Output
Deterministic JSON IR with `rc` (**0** = ok / **1** = completed with warnings / **2** = insufficient or invalid input), `grade_basis`, `possible_grades`, `warnings`, `clause_review_checklist`, and `aigc_mark` (GB 45438-2025 metadata; `is_generated: true`, label basis noted as pending verification).

Real excerpt (`python uas-ops-checker.py --mtow 5`, arrays folded for readability; values verbatim):

```json
{
  "tool": "uas-ops-checker",
  "input": {"mtow": "5"},
  "result": {
    "grade": "小型",
    "grade_basis": "从严推定（输入不完整）",
    "possible_grades": ["微型", "轻型", "小型"],
    "obligations": ["操控员执照（视具体机型）", "实名登记", "强制责任保险", "在适飞空域外飞行需申请"],
    "evidence": ["暂行条例 第6条", "暂行条例 第16条", "CCAR-92"],
    "warnings": ["…3 条（输入不完整 / 分类不确定按从严推定 / 该等级需额外审查）"]
  },
  "rc": 1,
  "clause_review_checklist": ["…7 条（条款号 + 用途 + 待人工核对）"],
  "aigc_mark": {"standard": "GB 45438-2025", "is_generated": true, "generator": "uas-ops-checker@SynomosAI",
                "content_type": "decision_support_output", "label_note": "标识口径待核"}
}
```

## Theory hook (证据语义澄清)
分类即空中治理的出生登记。依 LGD 证据语义界定：**Evidence（证据）＝治理状态转换的可验证依据，非行为日志**；识别信息报送 / 飞行动态上传属**行为日志**，本工具不把日志当证据。域站位件：TH-UAS-001。

## 条款号待人工核对清单 / Clause review checklist
| 条款 / 数值 | 用途 | 状态 |
|---|---|---|
| 暂行条例 第6条 | 分类（微型/轻型/小型/中型/大型）规则来源 | 待人工核对 |
| 暂行条例 第12条 | 微型/轻型的实名登记与适飞空域内免执照义务 | 待人工核对 |
| 暂行条例 第16条 | 小型的执照/登记/保险义务（原实现引用） | 待人工核对 |
| 暂行条例 第31条 / 第32条 | 中型/大型的运营合格证、适航、飞行活动申请 | 待人工核对 |
| CCAR-92 | 分类参数与运行要求 | 待人工核对 |
| GB 45438-2025 | AIGC 标识字段 `aigc_mark` | 待人工核对 |
| 阈值 0.25 / 4 / 7 / 15 / 25 / 150 (kg) | 分类级联断点取值 | 待人工核对 |

## Pointers (verified live 2026-09-26)
- Theory ledger repo: https://github.com/zhaoxinghua09-cell/lgd-theory
- Reference implementation: https://github.com/zhaoxinghua09-cell/uibc-core
- Skill library index: https://github.com/zhaoxinghua09-cell/agent-skills
- LGD 理论总账 REGISTRY 在线页：(地址待补) · UAS 域速查页：(地址待补)

## License & attribution
**Layered licence — the code licence does NOT cover the docs or the theory text.**

| Layer | Carrier | Licence |
|---|---|---|
| Code | `uas-ops-checker.py` | **MIT** |
| Docs & theory text | this `README.md`, `SKILL.md`, the 「理论依据」 section and all theory wording | **Not covered by MIT**: all rights reserved |

```
© 2026 SynomosAI. All rights reserved.
理论署名 (attribution) : LGD（Lifecycle Governance Doctrine / 全程治理论）— SynomosAI initiative
名称状态 (name status)  : "SynomosAI" — 未申请实体注册、未申请商标注册
                        (not a registered legal entity; no trademark registered)
生产参考部署 (production reference, self-reported) : 无（未声明外部生产参考部署）
                    ← 非认证、非背书、非监管认可（not a certification or endorsement）
代码许可 (code license) : uibc-core = Apache-2.0 (see repo LICENSE)
                    本文本与理论表述不在 Apache-2.0 覆盖范围内
引用格式 (cite as)      : uibc-core/CITATION.cff · concept DOI 10.5281/zenodo.22821834
首次公开锚 (first public): 2026-09-17 13:31:45 UTC (commit cb6f11b)
                    外锚 (external anchor): Sigstore Rekor logIndex 2883389783
```
（上列为《LGD 对外表述规范》§3.2 统一块，**整体复制、未删改**。）
**本包补充**：`uas-ops-checker.py` = MIT；本 `README.md` / `SKILL.md` 及其中理论文本不在任何代码许可覆盖范围内。

## 家族合集
| 域 | 工具 | 大使 | 目录 |
|---|---|---|---|
| UAS 低空 | uas-ops-checker | 诺卫 | https://github.com/zhaoxinghua09-cell/agent-skills/tree/main/skills/uas-ops-checker |
| AUT 驾驶 | aut-grade-checker | 诺卫 | https://github.com/zhaoxinghua09-cell/agent-skills/tree/main/skills/aut-grade-checker |
| DAT 数据 | data-grade-checker | 诺源 | https://github.com/zhaoxinghua09-cell/agent-skills/tree/main/skills/data-grade-checker |
| BIO 生物 | hgrac-route-checker | 诺康 | https://github.com/zhaoxinghua09-cell/agent-skills/tree/main/skills/hgrac-route-checker |
| FIN 金融 | fin-ai-classifier | 诺丰 | https://github.com/zhaoxinghua09-cell/agent-skills/tree/main/skills/fin-ai-classifier |
| LAW 法律 | evid-four-check | 诺律 | https://github.com/zhaoxinghua09-cell/agent-skills/tree/main/skills/evid-four-check |

---
诺卫@UAS 域首席发声人 · TH-UAS-001 · SynomosAI（AI 辅助生成，非自然人）

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