仅适用于北京市企业职工基本养老保险退休金测算。支持依据北京政策参数计算基础养老金、个人账户养老金、过渡性养老金,并对未退休用户做未来缴费策略优化。
v1.0.1仅适用于北京市企业职工基本养老保险退休金测算。支持依据北京政策参数计算基础养老金、个人账户养老金、过渡性养老金,并对未退休用户做未来缴费策略优化。
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description, scripts, parameter data and examples all align: code implements Beijing pension formulas, parameter update, ingestion (CSV/XLSX/OCR), confirmation export and interactive flows. Required binaries (tesseract for OCR) and Python dependencies match the stated capabilities.
Instruction Scope
SKILL.md directs the agent to collect user fields, call local scripts in a narrow sequence (ingest -> confirm -> calc). The scripts operate on user-provided input files and local parameter JSON. There are no instructions to read unrelated system files, environment secrets, or to call external endpoints from the runtime instructions. The policy-links file contains URLs but is only a reference list.
Install Mechanism
No install specification is provided (instruction-only skill), and included code relies on standard Python libs listed in requirements.txt. No remote download or arbitrary extraction steps are present.
Credentials
The skill declares no required environment variables, credentials, or config paths. The only external dependency is the tesseract binary (for OCR), which is proportional to the OCR functionality. There are no unrelated credentials requested.
Persistence & Privilege
always is false and the skill does not request persistent/system-wide privileges. It only writes/updates its own data file (data/beijing_params.json) via an explicit update script, which is consistent with its purpose.
Assessment
What to check before installing/using:
- This skill runs local Python scripts and (optionally) tesseract OCR on files you upload (CSV/XLSX/images). It processes personally sensitive data (birth dates, contribution history, account balances), so run it in a trusted/local environment and avoid sending inputs to unknown remote services.
- There are no network calls or credential requirements in the code; references to official policy URLs are documentation only.
- You must install Python >=3.10 and dependencies (pandas, openpyxl) and tesseract+chi_sim if you plan to use OCR.
- The code contains some minor robustness bugs (e.g., a likely typo in the OCR parsing function and a truncated variable in calc script seen in provided files) that may cause runtime exceptions; review or test the scripts before relying on results.
- If you do not want autonomous invocation by an agent, restrict the skill’s invocation policy; by default model invocation is allowed but always:false here means it is not force-included.
- Recommended: inspect the scripts yourself (or run in an isolated environment), validate outputs against known examples, and verify that parameter updates (scripts/update_params.py) are only performed intentionally.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.
