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Get Started Free →Use when generating computer system validation (CSV) documentation for pharmaceutical and medical device industries, including validation plans, URS, FS, IQ/OQ/PQ documents, and traceability matrices.
.claude/skills/leoyeai-csv-documentation-generator/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 219% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 244% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 321% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 257% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 270% | 0% |
Generate Computerized System Validation (CSV) documentation for pharmaceutical and medical device industries. Supports bilingual (Chinese/English) templates and multiple output formats (Word/Excel).
Use this skill when:
| System Type | GAMP Category | Documents | |-------------|---------------|-----------| | EDC (Electronic Data Capture) | Category 4/5 | All 12 documents | | CTMS (Clinical Trial Management) | Category 4 | VP, URS, FS, RA, IQ, OQ, RTM | | LIMS (Laboratory Information Management) | Category 4/5 | All 12 documents | | MES (Manufacturing Execution System) | Category 4 | All 12 documents | | ERP (Enterprise Resource Planning) | Category 4 | VP, URS, RA, IQ, OQ | | SCADA/DCS | Category 2/3 | VP, URS, IQ, OQ, PQ | | Custom Software | Category 3/4 | VP, URS, RA, IQ, OQ |
bash# Navigate to skill directory cd <SKILL_DIR>/csv-documentation-generator # Run script - will automatically create virtual environment on first run python3 scripts/generate.py vp --project "XX系统" --system "EDC v1.0" --output ./output/ # Note: If --category is not specified, interactive GAMP category selection will be prompted # The script provides bilingual (Chinese/English) guidance based on GAMP 5 Second Edition # Generate Validation Plan (with category specified) python3 scripts/generate.py vp --project "XX系统" --system "EDC v1.0" --category 4 --output ./output/ # Generate full validation package python3 scripts/generate.py all --project "XX系统" --system "MES" --category 4 --output ./validation/
bash# Navigate to skill directory cd <SKILL_DIR>/csv-documentation-generator # Parse source code for requirements (extracts @URS, @TEST, @FS, @TS markers) python3 scripts/cli.py parse ./src # For AI agents (non-interactive mode), use --auto-add: python3 scripts/cli.py parse ./src --auto-add # Review extracted requirements cat requirements.json
This skill automatically handles environment setup:
.venv virtual environment in skill directoryThis ensures consistent behavior and avoids dependency conflicts.
If --category is not specified, the script will prompt with bilingual (Chinese/English) guidance:
GAMP 5 (Second Edition) Category Selection:
[1] Infrastructure Software - 基础设施软件
[2] Firmware - 固件
[3] Commercial Off-The-Shelf (COTS) - Non-configured - 商用现货软件 (不可配置)
[4] Configured COTS - 配置型 COTS 软件 (e.g., EDC, CTMS, LIMS, MES)
[5] Custom / Critical Application - 定制/关键应用AI agents should guide users to select the appropriate category based on GAMP 5 Second Edition principles.
| Command | Description | Output Format | |---------|-------------|---------------| | generate.py vp | Validation Plan | .docx | | generate.py urs | User Requirements Specification | .docx | | generate.py fs | Functional Specification | .docx | | generate.py ts | Technical Specification | .docx | | generate.py ra | Risk Assessment (FMEA) | .docx | | generate.py iq | Installation Qualification | .docx | | generate.py oq | Operational Qualification | .docx | | generate.py pq | Performance Qualification | .docx | | generate.py rtm | Traceability Matrix | .xlsx | | generate.py vsr | Validation Summary Report | .docx | | generate.py checklist | Validation Checklist | .xlsx | | generate.py test-case | Test Case Template | .xlsx | | generate.py all | Full validation package | .docx / .xlsx |
| Option | Description | Required | |--------|-------------|----------| | --project | Project name | Yes | | --system | System name and version | Yes | | --category | GAMP category (1-5). If not specified, interactive selection will be prompted with bilingual GAMP 5 guidance. | No (will prompt) | | --bilingual | Enable bilingual mode: 'true' or 'false' (default: true). When true, headers remain bilingual and content follows --language. | No | | --language | Primary language for content: 'zh' (Chinese) or 'en' (English) (default: zh). Used when bilingual=false or for content in bilingual mode. | No | | --verbose / -v | Show detailed progress information (default: simplified output) | No | | --output | Output directory | Yes | | --format | Output format: docx, xlsx, or both (default: both) | No |
All generated documents follow consistent naming and formatting rules:
| Document Type | Format | Example | |--------------|--------|---------| | Validation Plan | {TYPE}_{PROJECT}.{ext} | VP_XX系统.docx | | User Requirements | {TYPE}_{PROJECT}.{ext} | URS_XX系统.docx | | Functional Specification | {TYPE}_{PROJECT}.{ext} | FS_XX系统.docx | | Traceability Matrix | RTM_{PROJECT}.{ext} | RTM_XX系统.xlsx |
{output_dir}/
├── VP_项目名.docx
├── URS_项目名.docx
├── FS_项目名.docx
├── TS_项目名.docx
├── RA_项目名.docx
├── IQ_项目名.docx
├── OQ_项目名.docx
├── PQ_项目名.docx
├── VSR_项目名.docx
├── RTM_项目名.xlsx
└── CHECKLIST_项目名.xlsxFonts:
Colors:
Common variables used in templates:
| Variable | Description | Example | |----------|-------------|---------| | {PROJECT_NAME} | Project name | 临床试验系统 | | {SYSTEM_NAME} | System name | EDC v1.0 | | {SYSTEM_VERSION} | System version | 1.0 | | {GAMP_CATEGORY} | GAMP category | 4 | | {DOC_ID} | Document ID | URS-001 | | {DATE} | Document date | 2024-01-01 | | {AUTHOR} | Document author | 张三 | | {REVIEWER} | Reviewer name | 李四 | | {APPROVER} | Approver name | 王五 |
| Category | Description | Validation Approach | |----------|-------------|-------------------| | 1 | Operating System | Legacy | | 2 | Firmware | Simplified | | 3 | Commercial-off-the-shelf (COTS) | Risk-based | | 4 | Configured COTS | Risk-based | | 5 | Custom/Critical | Full validation |
This skill includes compliance checks for:
This skill encapsulates the following semantic actions for GxP document generation:
parse_requirements(source_path) → RequirementsDB
│
▼
generate_vp(context) → Document
│ ──────────────────────► generate_urs(context) → Document
│ │
│ ◄── (URS traceability) ──────────────────┤
│ ▼
├────────────────────────────────────► generate_fs(context) → Document
│ │
│ ◄── (FS technical specs) ─────────────────┤
│ ▼
└────────────────────────────────────► generate_ra(context) → Document
│
┌───────────┴───────────┐
▼ ▼
generate_iq_oq_pq(context) generate_rtm(context)
│ │
└───────────┬───────────┘
▼
generate_vsr(context) → Document| Action | Description | Pre-conditions | |--------|-------------|---------------| | parse_requirements() | Parse @URS, @FS, @TEST markers from source code | Source code available | | generate_vp() | Create Validation Plan | Project name, system name, GAMP category | | generate_urs() | Create User Requirements Specification | System context, GxP scope | | generate_fs() | Create Functional Specification | URS requirements linked | | generate_ra() | Create Risk Assessment | URS priorities, GxP scope | | generate_iq_oq_pq() | Create Qualification Protocols | RA risk levels, TS config | | generate_rtm() | Create Traceability Matrix | URS, FS, test cases linked | | generate_vsr() | Create Validation Summary Report | All test results, deviations | | sync_bidirectional() | Sync requirements ↔ templates | Templates and requirements.json exist | | run_compliance_check() | Verify GxP compliance | Requirements and test results |
| Flow | Semantic Meaning | |------|-----------------| | VP → URS | Business process analysis defines GxP scope for requirements | | URS → FS | Functional requirements trace to design specifications | | URS → RA | Requirement priority determines risk severity | | RA → Test | Risk level scales testing rigor (IQ/OQ/PQ scope) | | All → RTM | Complete traceability matrix for regulatory audit |
Critical Thinking Constraints and Content Fill Prompts are defined in prompts.md.
For GAMP 5 M12 Critical Thinking constraints, document generation triggering conditions, and content fill prompt templates, see prompts.md.
Reference materials included in references/ folder:
| File | Description | |------|-------------| | gamp-5.md | GAMP 5 quick reference guide | | 21cfr-part11.md | 21 CFR Part 11 key requirements | | annex-11.md | EU Annex 11 requirements | | data-integrity.md | ALCOA+ data integrity principles |
Complete fill examples are provided in templates/examples/ directory:
| Example File | Description | |--------------|-------------| | urs-example.md | URS with complete requirement examples | | fs-example.md | FS with traceability examples | | ra-example.md | RA with hierarchical risk examples | | iq-example.md | IQ with qualification check examples |
AI agents SHOULD reference these examples for content style guidance when filling templates.
All templates support Smart Bilingual output controlled by --bilingual and --language flags:
| --bilingual | --language | Behavior | |---------------|--------------|----------| | true (default) | zh | Headers bilingual, content in Chinese | | true (default) | en | Headers bilingual, content in English | | false | zh | Pure Chinese output | | false | en | Pure English output |
Templates use dual-language format for headers:
markdown## 1. 目的 / Purpose 本文档定义了... / This document defines...
Tables use dual-language headers:
| 中文 | English | |------|---------| | 验证计划 | Validation Plan | | 用户需求 | User Requirements |
Content cells use format like 中文 / English:
| 模块 / Module | 描述 / Description | |--------------|-------------------| | 用户管理 / User Management | 系统应... / System should... |
This skill supports GAMP 5 compliant requirements traceability across the entire validation lifecycle.
代码注释 (@URS[module])
↓
requirements.json (需求解析)
↓
URS 模板 (自动同步章节)
↓
FS/TS 文档 (引用需求ID)
↓
测试用例 (关联需求ID)
↓
测试结果 (解析需求ID)
↓
RTM (追溯矩阵自动生成)When generating code, AI agents MUST include requirement markers for automatic traceability. Use the standardized @REQ format:
python# @REQ URS-001 - 系统应支持基于角色的访问控制 (RBAC) # @REQ URS-002 - 用户密码必须满足复杂度要求(至少8位) # @FS FS-001 # @TS TS-001 # @TEST[OQ-UM-001] - 验证用户角色分配功能 # @RISK H # High risk module def assign_role(user_id: str, role: str) -> bool: ''' @REQ URS-001 - Role-based access control required @TEST[OQ-UM-001] - Test role assignment ''' # Implementation...
Standard comment formats:
| Pattern | Example | Description | |---------|---------|-------------| | // @REQ URS-xxx | // @REQ URS-001 - 系统应支持RBAC | Requirement with ID and description | | # @REQ | # @REQ URS-001 - 描述 | Python-style comment | | /* @REQ */ | /* @REQ URS-001 - 描述 */ | Multi-line comment | | // @TEST[type-id] | // @TEST[OQ-UM-001] - 验证 | Test case link | | // @FS | // @FS FS-001 | FS reference | | // @TS | // @TS TS-001 | TS reference | | // @RISK [H/M/L] | // @RISK H | Risk level (High/Medium/Low) |
Risk levels:
H (High): Security, compliance, electronic signature, audit trail relatedM (Medium): Default for most requirementsL (Low): Simple features, documentation, reports| Module ID | 中文名 | English Name | Test Prefix | |-----------|--------|--------------|-------------| | user_mgmt | 用户管理 | User Management | UM | | audit_trail | 审计追踪 | Audit Trail | AT | | data_mgmt | 数据管理 | Data Management | DM | | business_func | 业务功能 | Business Functions | BF | | reporting | 报告功能 | Reporting | RP | | integration | 接口集成 | Integration | INT | | security | 安全 | Security | SEC | | compliance | 合规 | Compliance | CMP |
注意: 章节号(4.X)是动态分配的,基于模板中已有的章节。同步时会自动为新模块分配下一个可用编号。
> ⛔ This step is NOT automatic. You must manually add these rules to your agent's system prompt (AGENTS.md) if you want @REQ/@TEST annotations to apply across ALL skills.
To enable cross-skill annotation enforcement, add the following to your AGENTS.md or agent system prompt:
Code Annotation Rules (for GxP traceability):
- When writing code that implements requirements, add @REQ markers: # @REQ URS-xxx - description
- When writing test cases, add @TEST markers: # @TEST[OQ-UM-xxx] - description
- Mark high-risk code sections with @RISK H (security, compliance, audit trail related)
- Mark medium-risk code with @RISK M
- Mark low-risk code with @RISK LWhy this is needed: OpenClaw skills only execute when active. There is no mechanism to make instructions persist across skill switches except via the system prompt.
See STANDARDS.md for full documentation and standards/code-annotations.json for the standards file.
Test case IDs follow the format: {IQ|OQ|PQ}-{ModulePrefix}-{Number}
| Type | Example | Description | |------|---------|-------------| | IQ | IQ-UM-001 | Installation Qualification test | | OQ | OQ-UM-001 | Operational Qualification test | | PQ | PQ-UM-001 | Performance Qualification test |
Before generating documents, use --sync to automatically update templates with new requirements:
bash# Generate URS and sync requirements to template python3 scripts/generate.py urs --sync \ --project "临床系统" \ --system "EDC v1.0" \ --category 4 \ --output ./validation/ # Generate full validation package with sync python3 scripts/generate.py all --sync \ --project "XX系统" \ --system "MES" \ --category 4 \ --output ./validation/
What --sync does:
requirements.json for all requirementsUse --sync-template-to-db to extract requirements from templates and add them to requirements.json:
bash# Extract requirements from urs.md template to requirements.json python3 scripts/generate.py urs --sync-template-to-db \ --project "临床系统" \ --system "EDC v1.0" \ --category 4 \ --output ./validation/
What --sync-template-to-db does:
| URS-xxx | description | formatFor interactive step-by-step document generation with confirmation prompts:
bashpython3 scripts/generate.py all --interactive \ --project "临床系统" \ --system "EDC v1.0" \ --category 4 \ --output ./validation/
Interactive workflow:
[1/11] 解析代码注释...
→ 按 Enter 继续,'s' 跳过,'q' 退出:
[2/11] 同步需求到数据库...
→ 按 Enter 继续,'s' 跳过,'q' 退出:
[3/11] 生成 URS...
→ 按 Enter 继续,'s' 跳过,'q' 退出:
✓ ./output/URS_临床系统.docx
...Options:
Enter - Execute this steps - Skip this stepq - Quit (already generated files are preserved)Run GAMP 5 compliance validation to check requirements coverage and test coverage:
bash# Run compliance check (text output) python3 scripts/generate.py check \ --requirements requirements.json \ --test-results test_results.json # Run compliance check (JSON output for CI/CD) python3 scripts/generate.py check \ --requirements requirements.json \ --test-results test_results.json \ --output-format json
Compliance checks performed:
Exit codes:
0 - All checks passed1 - Warnings present2 - Errors foundUse --diff-only to skip regeneration when requirements haven't changed:
bash# Only regenerate RTM if requirements changed python3 scripts/generate.py rtm --diff-only \ --project "临床系统" \ --system "EDC v1.0" \ --category 4 \ --output ./validation/
How it works:
.requirements.hash in output directoryInstall post-commit hooks to automatically run compliance checks after code commits:
bash# Install hooks locally (per-project) ./scripts/git-hooks/install.sh --local # Install hooks globally (all projects) ./scripts/git-hooks/install.sh --global # Uninstall hooks ./scripts/git-hooks/install.sh --uninstall
What the hook does:
Use --sync for bidirectional sync between template and requirements.json:
bash# Full bidirectional sync (both directions) python3 scripts/generate.py urs --sync \ --project "临床系统" \ --system "EDC v1.0" \ --category 4 # Only sync template → JSON python3 scripts/generate.py urs --sync --sync-direction to-json # Only sync JSON → template python3 scripts/generate.py urs --sync --sync-direction to-template
Conflict resolution:
bash# Keep template descriptions on conflict python3 scripts/generate.py urs --sync --conflict-resolution template # Keep JSON descriptions on conflict python3 scripts/generate.py urs --sync --conflict-resolution json # Keep newer version based on updated_at python3 scripts/generate.py urs --sync --conflict-resolution newer
Section numbering behavior:
### 4.X headersrequirements.json will have sections createdpm_query, multi_lock) are supported and will be assigned the next available section numberFor projects with multiple subprojects (monorepo structure):
bash# Auto-detect monorepo root python3 scripts/generate.py rtm --project "临床系统" --system "EDC v1.0" # Explicitly specify monorepo root python3 scripts/generate.py rtm --project "临床系统" --system "EDC v1.0" \ --project-root /path/to/monorepo
Detected monorepo layouts:
apps/, packages/, projects/, modules/, services/ directoriesrequirements.jsonTemplates are versioned for compatibility tracking:
bash# Check compatibility (automatic on generate) python3 scripts/generate.py rtm --project "系统" --system "v1.0" --category 4 # Specify template version python3 scripts/generate.py rtm --template-version 1.2.0 \ --project "系统" --system "v1.0" --category 4
Automatic migrations:
Use provided CI/CD templates for automated documentation generation:
GitHub Actions (templates/ci/github-actions.yml):
yaml- uses: actions/checkout@v4 - uses: actions/setup-python@v5 with: python-version: '3.11' - run: pip install -r requirements.txt - run: python scripts/generate.py check --output-format json - run: python scripts/generate.py all --diff-only
GitLab CI (templates/ci/gitlab-ci.yml):
yamlgenerate:rtm: extends: .csv-docs-base script: - python scripts/generate.py rtm --diff-only artifacts: paths: - validation/RTM*.xlsx
The URS/FS/TS IDs and descriptions in templates are examples only. For actual projects:
--sync-template-to-db to populate initial requirements, then customizePer GxP requirements, any system change requires a risk assessment. When generating RA documents, include the change description:
bashpython3 scripts/generate.py ra \ --project "临床系统" \ --system "EDC v1.0" \ --change-description "升级数据库从 v12 到 v14" \ --output ./validation/
bash# Navigate to skill directory cd <SKILL_DIR>/csv-documentation-generator # Parse source code for requirements using csv-docs CLI python3 scripts/cli.py parse ./src # View extracted requirements cat requirements.json
| Issue | Solution | |-------|----------| | python-docx not installed | Run: pip install -r requirements.txt | | Encoding errors | Ensure UTF-8 encoding in your terminal | | Template not found | Check you are in the correct directory |
Run with verbose output:
bashpython3 scripts/generate.py --help
For AI agents running in non-interactive mode, use --auto-add to automatically add all parsed requirements:
bash# Parse and auto-add all requirements (non-interactive) python3 scripts/cli.py parse ./src --auto-add # Generate with verbose output python3 scripts/generate.py all --project "XX系统" --system "System v1.0" --category 4 --verbose
bashpython3 scripts/generate.py urs \ --project "临床试验管理系统" \ --system "CTMS v2.0" \ --category 4 \ --bilingual true \ --output ./validation/
bashpython3 scripts/generate.py ra \ --project "质量管理系统" \ --system "QMS v1.5" \ --category 4 \ --critical-functions "数据录入,审计追踪,权限控制" \ --output ./validation/
bashpython3 scripts/generate.py rtm \ --project "实验室系统" \ --system "LIMS v3.0" \ --category 4 \ --urs-file ./URS-001.md \ --fs-file ./FS-001.md \ --output ./validation/
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 10,901 | 3,474 | -68% | 1 | 1 | 0% | 2,314 | 7,387 | +219% | 0 | 0 | — |
case-02 | fail→fail | 18,543 | 5,210 | -72% | 1 | 1 | 0% | 3,881 | 7,131 | +84% | 0 | 0 | — |
case-03 | fail→fail | 12,263 | 1,891 | -85% | 1 | 1 | 0% | 2,731 | 7,003 | +156% | 0 | 0 | — |
case-04 | fail→fail | 6,033 | 2,788 | -54% | 1 | 1 | 0% | 1,174 | 7,347 | +526% | 0 | 0 | — |
case-05 | fail→pass | 11,168 | 2,353 | -79% | 1 | 1 | 0% | 2,102 | 7,239 | +244% | 0 | 0 | — |
case-06 | fail→pass | 9,791 | 5,293 | -46% | 1 | 1 | 0% | 1,771 | 7,460 | +321% | 0 | 0 | — |
case-07 | fail→pass | 10,979 | 3,956 | -64% | 1 | 1 | 0% | 2,116 | 7,553 | +257% | 0 | 0 | — |
case-08 | pass→pass | 8,350 | 2,120 | -75% | 1 | 1 | 0% | 1,480 | 7,151 | +383% | 0 | 0 | — |
case-09 | fail→pass | 11,521 | 3,371 | -71% | 1 | 1 | 0% | 2,000 | 7,397 | +270% | 0 | 0 | — |
case-10 | fail→pass | 5,551 | 2,671 | -52% | 1 | 1 | 0% | 1,032 | 7,186 | +596% | 0 | 0 | — |
case-19 | pass→pass | 7,613 | 1,524 | -80% | 1 | 1 | 0% | 1,536 | 7,036 | +358% | 0 | 0 | — |
case-11 | fail→pass | 5,305 | 2,051 | -61% | 1 | 1 | 0% | 1,122 | 7,146 | +537% | 0 | 0 | — |
case-12 | fail→pass | 11,026 | 2,496 | -77% | 1 | 1 | 0% | 841 | 7,262 | +763% | 0 | 0 | — |
case-13 | fail→pass | 6,148 | 3,717 | -40% | 1 | 1 | 0% | 1,406 | 7,587 | +440% | 0 | 0 | — |
case-14 | pass→pass | 8,067 | 2,128 | -74% | 1 | 1 | 0% | 1,519 | 7,123 | +369% | 0 | 0 | — |
case-25 | fail→pass | 16,481 | 13,012 | -21% | 1 | 1 | 0% | 2,913 | 9,119 | +213% | 0 | 0 | — |
case-15 | fail→pass | 9,900 | 4,443 | -55% | 1 | 1 | 0% | 1,944 | 7,698 | +296% | 0 | 0 | — |
case-16 | fail→pass | 6,250 | 2,000 | -68% | 1 | 1 | 0% | 1,423 | 7,089 | +398% | 0 | 0 | — |
case-17 | fail→pass | 7,172 | 6,263 | -13% | 1 | 1 | 0% | 1,634 | 7,438 | +355% | 0 | 0 | — |
case-18 | fail→pass | 13,261 | 2,960 | -78% | 1 | 1 | 0% | 1,307 | 7,404 | +466% | 0 | 0 | — |
case-20 | fail→pass | 12,728 | 7,134 | -44% | 1 | 1 | 0% | 2,383 | 7,520 | +216% | 0 | 0 | — |
case-21 | fail→pass | 7,452 | 2,803 | -62% | 1 | 1 | 0% | 1,488 | 7,283 | +389% | 0 | 0 | — |
case-22 | pass→pass | 8,965 | 2,173 | -76% | 1 | 1 | 0% | 1,614 | 7,178 | +345% | 0 | 0 | — |
case-23 | fail→fail | 14,171 | 11,406 | -20% | 1 | 1 | 0% | 2,946 | 8,952 | +204% | 0 | 0 | — |
case-24 | fail→pass | 12,851 | 6,946 | -46% | 1 | 1 | 0% | 2,221 | 8,176 | +268% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 25 cases were attempted, and 23 counted toward the lift figure. The other 2 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +68 percentage points is the difference between those two pass rates over the 23 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.