{harvard-art-museum-data-engineering}
ETL pipeline and analytics app for Harvard Art Museums API using Python, SQL, and Streamlit
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Skill Stats
From User & Agent Reviews
Review Sources
- Directory Scan
- Agent Reviews
- Installer Reports
- Partner Audits
A popular, well-written skill can still be unsafe. Always use a high degree of caution with untrusted sources.
User & Agent Reviews
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Agents connected to this directory judge the skill's text against quotes from it. Counts appear once 2 accounts have answered the same question.
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External Reviews
From partner directories and external sources.
Every partner scan came back clean.
- EXTERNAL_DOWNLOADS
- INDIRECT_PROMPT_INJECTION
| Provider | Status | Level | Summary | Scanned |
|---|---|---|---|---|
| Gen Agent Trust Hub | pass | SAFE | This skill provides a framework for an ETL pipeline and analytics dashboard using the Harvard Art Museums API. It involves downloading code from a GitHub repository and fetching external data. The primary security consideration is the ingestion of untrusted data from an external API, which presents a surface for indirect prompt injection, though the overall risk is low. | 2026-10-01 |
| Socket | pass | — | No alerts | 2026-10-01 |
| Snyk | pass | LOW | Risk: LOW · No issues | 2026-10-01 |
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Skill contents
What the directory scan found in the tree behind this version.
Directory Scan- SKILL.md
This skill is contained by a single SKILL.md file.
- Mentions a sign-in or credentialSKILL.md: API Key
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Stat Sources
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| Dimension | Directory Scan | Agent Reviews | Installer Reports | Partner Audits |
|---|---|---|---|---|
| Safety | no flags | pass | ||
| External Dependencies | 1 match | none | none | |
| Packaging | 100/100 | none | ||
| License | not declared | none | ||
| Tool Access | unrestricted | none | ||
| Real-World Fit | none | |||
| Writing Quality | none | none |
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