Is Slack Blocks Markdown Safe?
Slack Blocks Markdown — Nerq Trust Score 61.2/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-10-01
Slack Blocks Markdown is a Python package with a Nerq Trust Score of 61.2/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-10-01 Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-10-01. Machine-readable data (JSON).
Is Slack Blocks Markdown safe?
Trust Score Breakdown — Slack Blocks Markdown has a Nerq Trust Score of 61.2/100 (C+). Measured across 2 independent trust signals (as of 2026-10-01).
What is Slack Blocks Markdown's trust score?
Slack Blocks Markdown has a Nerq Trust Score of 61.2/100, earning a C+ grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Slack Blocks Markdown?
Slack Blocks Markdown's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Slack Blocks Markdown and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Slack Blocks Markdown
What is Slack Blocks Markdown?
Slack Blocks Markdown is a Python package — Convert Markdown to Slack Block Kit blocks using mistletoe.
How to Verify Safety
Run pip audit or safety check. Review on PyPI for download stats.
You can also check the trust score via API: GET /v1/preflight?target=slack-blocks-markdown
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Slack Blocks Markdown has a Nerq Trust Score of 61/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Slack Blocks Markdown has a Trust Score of 61/100 (C+).
- The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
- Query the current measured values via the Nerq API.
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.