pjwang2022/Monstrare

Monstrare — a gate-based workflow layer for AI coding agents. Every non-trivial change is spec'd, planned, verified, and reviewed before it ships — nothing is called done without evidence.

84Stars on the repository
15Mods indexed here, across every type
1mo agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

architect

01

pjwang2022/Monstrare

Agent Claude Code

Reviews technical plans for architecture fit, data contracts, maintainability, and migration risk.

84 +1 1mo ago A 19 tokens original MIT

product-planner

02

pjwang2022/Monstrare

Agent Claude Code

Clarifies product intent, user journeys, non-goals, and acceptance criteria before implementation.

84 +1 1mo ago A 22 tokens original MIT

security-reviewer

03

pjwang2022/Monstrare

Agent Claude Code

Reviews plans and diffs for security, privacy, auth, permission, secret, file, network, and supply-chain risks.

84 +1 1mo ago A 29 tokens original MIT

test-engineer

04

pjwang2022/Monstrare

Agent Claude Code

Reviews test strategy, regression coverage, CI checks, and verification evidence.

84 +1 1mo ago A 18 tokens original MIT

ux-reviewer

05

pjwang2022/Monstrare

Agent Claude Code

Reviews screen specs, UI states, mockup variants, and visual acceptance criteria.

84 +1 1mo ago A 20 tokens original MIT