sec-edgar-pipeline by bobmatnyc/claude-mpm-skills
npx skills add https://github.com/bobmatnyc/claude-mpm-skills --skill sec-edgar-pipeline该数据处理管道以 edgar-analyzer 和 EDGAR 数据源为核心。核心流程为:配置凭证、创建包含示例的项目、分析模式、生成代码、运行数据提取以及导出报告。
使用设置向导配置所需密钥:
python -m edgar_analyzer setup
# 或
edgar-analyzer setup
需要配置的条目:
OPENROUTER_API_KEYJINA_API_KEYEDGAR 用户代理字符串("名称 email@example.com")# 1. 创建项目
edgar-analyzer project create my_project --template minimal
# 2. 添加示例 + project.yaml
# projects/my_project/examples/*.json
# 3. 分析示例
edgar-analyzer analyze-project projects/my_project
# 4. 生成提取代码
edgar-analyzer generate-code projects/my_project
# 5. 运行提取
edgar-analyzer run-extraction projects/my_project --output-format csv
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输出文件位于 projects/<项目名称>/output/ 目录。
0000320193)。edgar/scripts/fetch_apple_def14a.py 展示了直接流程:
edgar/recipes/sct_extraction/config.yaml 定义了一个多步骤管道:
SCTAdapter 提取 SCT 表格sct_validator 进行验证output/sctedgar/scripts/create_csv_reports.py 将 JSON 结果转换为:
executive_compensation_<时间戳>.csvtop_25_executives_<时间戳>.csvcompany_summary_<时间戳>.csvuniversal/data/reporting-pipelinestoolchains/python/testing/pytest每周安装次数
70
代码仓库
GitHub 星标数
18
首次出现
2026年1月23日
安全审计
安装于
gemini-cli54
codex54
opencode53
claude-code50
github-copilot50
cursor49
This pipeline is centered on edgar-analyzer and the EDGAR data sources. The core loop is: configure credentials, create a project with examples, analyze patterns, generate code, run extraction, and export reports.
Use the setup wizard to configure required keys:
python -m edgar_analyzer setup
# or
edgar-analyzer setup
Required entries:
OPENROUTER_API_KEYJINA_API_KEYEDGAR user agent string ("Name email@example.com")# 1. Create project
edgar-analyzer project create my_project --template minimal
# 2. Add examples + project.yaml
# projects/my_project/examples/*.json
# 3. Analyze examples
edgar-analyzer analyze-project projects/my_project
# 4. Generate extraction code
edgar-analyzer generate-code projects/my_project
# 5. Run extraction
edgar-analyzer run-extraction projects/my_project --output-format csv
Outputs land in projects/<name>/output/.
0000320193).edgar/scripts/fetch_apple_def14a.py shows the direct flow:
edgar/recipes/sct_extraction/config.yaml defines a multi-step pipeline:
SCTAdaptersct_validatoroutput/sctedgar/scripts/create_csv_reports.py converts JSON results into:
executive_compensation_<timestamp>.csvtop_25_executives_<timestamp>.csvcompany_summary_<timestamp>.csvuniversal/data/reporting-pipelinestoolchains/python/testing/pytestWeekly Installs
70
Repository
GitHub Stars
18
First Seen
Jan 23, 2026
Security Audits
Gen Agent Trust HubWarnSocketPassSnykWarn
Installed on
gemini-cli54
codex54
opencode53
claude-code50
github-copilot50
cursor49
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