Skill audit report

Mit 15 003 Data Science Tools audit report.

Study guides for MIT's 15.003 Data Science Tools

EXPERIMENTAL · REVIEWNeeds reviewGenerated Jun 16, 2026Heuristic metadata audit

Audit

Trust

Quality

Security

Maintain

Install

OpenAgentSkill Trust Score

Strong shortlist

Stars, maintenance, license, docs, dependency risk, and installability.

The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

PASS

1.9K GitHub stars

Recent maintenance

FAIL

6y since push

License clarity

PASS

MIT

README/SKILL.md completeness

INFO

Public metadata needs stronger README/SKILL.md context

Dependency risk

INFO

command execution surface, database surface

Install availability

PASS

npx skills add shervinea/mit-15-003-data-science-tools

Repository evidence

PASS

https://github.com/shervinea/mit-15-003-data-science-tools

Review status

PASS

AI review data available

Checks

Install and adoption review

6 passed · 6 review

Install path

PASS

npx skills add shervinea/mit-15-003-data-science-tools

Repository

PASS

https://github.com/shervinea/mit-15-003-data-science-tools

License

PASS

MIT

Maintenance

FIX

6y since push

AI review

PASS

Approved with no listed issues

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

CHECK

command execution surface, database surface

Adoption

PASS

1.9K GitHub stars

Warnings

Repository appears stale
Repository looks stale
Quality score needs review
Recent maintenance: 6y since push

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

Install path

Review the report before installing into production agents.

$ npx skills add shervinea/mit-15-003-data-science-tools

Signals

Audit score: 72/100
Quality: 73/100
Trust: 75/100
Maintenance: 6y since push
Events: No events yet
GitHub stars: 1.9K
Last push: Aug 23, 2020

Agent safety v2

40/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

High-risk permission hints: Shell or command execution
40/100 agent safety score

Shell or command execution

high

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

Network access

medium

Skill likely fetches remote pages, APIs, repositories, or external services.

Filesystem access

medium

Skill may read or write project files, documents, generated artifacts, or local workspace state.

Database access

medium

Skill may inspect schemas, query databases, or work with persistent stores.

High-risk permission hints: Shell or command execution
Repository appears stale

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