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Agentic-Engineering-Playbook

A practical open-source roadmap to build production-grade AI agents, copilots, RAG systems, MCP tools, and agentic applications.

1 starsupdated 20d agogithub ↗
72fair
▣ Overview
BuildDeployLicenseDocsStatusSystems
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
100
35.0
Freshness
25%
85
21.3
Adoption
20%
3
0.6
Quality
10%
100
10.0
Trust
10%
50
5.0
Total
71.9
⚿ Capabilities & Risk Explainer
fs readfs writesecrets
◆ Risk level: medium
fs read + fs write + secrets — requires access to credentials or environment secrets.
⚙ Install config
Source-only — no published npm / pypi package detected.
Clone and follow the build instructions in the repo: github.com/AnkitParekh007/Agentic-Engineering-Playbook
📈 Score historylast 15 snapshots
5/25/20266/6/2026 · 15 snapshots
⚙ Maintenance health
maintenance data not yet available — check back later.
⛁ Raw data
weekly downloads0
github stars1
forks1
open issues7
license✓ present
readme length11712 chars
last publish20d ago
last commit20d ago
last updated1d ago
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Agentic-Engineering-Playbook — MCP Score: 72/100 | MCPScore | Timeahead