github
pipelinescore
Measure LLM performance on your own equipment. Run a 25-task benchmark against any model with your own API key, get a deterministic score, tier badge, and a place on the public leaderboard.
76fair
▣ Overview
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
100
35.0
Freshness
25%
100
25.0
Adoption
20%
3
0.6
Quality
10%
100
10.0
Trust
10%
50
5.0
Total
75.6
⚿ Capabilities & Risk Explainer
fs readfs writenetworkexecsecrets
◆ Risk level: high
fs read + fs write + network + exec + secrets active — can execute code, access credentials, and make external network calls.
⚙ Install config
Source-only — no published npm / pypi package detected.
Clone and follow the build instructions in the repo: github.com/drewmattie-code/pipelinescore
Clone and follow the build instructions in the repo: github.com/drewmattie-code/pipelinescore
📈 Score historylast 18 snapshots
5/25/20266/11/2026 · 18 snapshots
⚙ Maintenance health
25/ 100 · is this project alive?
contributors (1y)1
top contributor share100%
releases (1y)1
last release96d ago
ci✗ none
⛁ Raw data
weekly downloads0
github stars1
forks0
open issues3
license✓ present
readme length8162 chars
last publish3d ago
last commit7d ago
last updated7d ago
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