内蒙古养老保险补缴计算工具

PassAudited by ClawScan on May 1, 2026.

Overview

This appears to be a local pension backpay calculator with no evidenced credential, network, persistence, or destructive behavior, but its hard-coded calculation data should be verified before financial use.

This skill looks safe to use as a local estimate calculator. Before making payment or legal decisions, compare its input data and results with official social-security bureau calculations, and only run the bundled Python script from a source you trust.

Findings (2)

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

What this means

Using the skill may execute local Python code, though the artifacts do not show network access, credential use, destructive commands, or persistence.

Why it was flagged

The skill documents running a bundled Python script. This is purpose-aligned for a calculator and the visible code is calculation-oriented, but it is still local code execution the user should recognize.

Skill content
python scripts/calculate_backpay.py 2004 4 2011 3 --rate 0.6 --target 2026 3
Recommendation

Run it only from a trusted copy of the skill and keep execution limited to the documented calculator script.

What this means

The calculator may produce estimates that differ from the included reference material or official social-security calculations.

Why it was flagged

The script hard-codes calculation data that appears to differ from bundled reference tables, such as references/social_avg_wages.md listing 2004 as 14,209 annual / 1,184 monthly and references/interest_rates.md listing 2011 as 2.75%. This can affect trust in precise-looking financial estimates.

Skill content
SOCIAL_AVG_WAGES = { ... 2004: 11280 / 12, ... } ... INTEREST_RATES = { ... 2011: 0.05, ... }
Recommendation

Treat results as advisory estimates and verify wage, interest-rate, and policy inputs against official Inner Mongolia social-security sources before relying on the output.