What is session-signals?
session-signals is a coding that Self-improving friction detection for AI coding agents analyzing session data from various coding harnesses.. It has a Nerq Trust Score of 67/100 (C). 0 GitHub stars. Published by jpequegn. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ✅ Transparency: License: MIT — Clear licensing
Trust & Safety Overview
What session-signals Does
session-signals is a agent in the coding category. Self-improving friction detection for AI coding agents analyzing session data from various coding harnesses.. It is published by jpequegn and is open source. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use session-signals
session-signals is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | jpequegn |
|---|---|
| Category | coding |
| License | MIT |
| Type | agent |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 1/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=session-signals
Setup guide · Full safety report · Production review · Is it safe?
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Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.