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Plugin Hub Discovery, Ranking, and Reuse Economy

Pitch

Create a plugin hub where users and agents can discover, rank, and reuse plugins, enabling a growing ecosystem of verified capabilities with economic incentives for contributors.

Why

A vibrant plugin ecosystem accelerates PlanExe adoption and quality. Without discovery and ranking, useful plugins remain hidden and the system becomes fragmented.

Problem

  • No standardized marketplace for plugins.
  • Quality and safety are inconsistent.
  • Contributors lack incentives to improve or maintain plugins.

Proposed Solution

Build a plugin hub that:

  1. Hosts plugins with metadata, versioning, and usage stats.
  2. Ranks plugins by quality, safety, and outcome performance.
  3. Enables reuse and composability across plans.
  4. Supports economic incentives for contributors.

Core Components

Plugin Registry

  • Unique plugin IDs and semantic versioning.
  • Metadata: domains, tasks supported, inputs/outputs.
  • Security tier and safety certifications.

Ranking and Discovery

  • Ranking based on reliability, performance, and adoption.
  • Search by task, domain, or required outputs.
  • Personalized recommendations by usage patterns.

Reuse Economy

  • Credit system for plugin authors.
  • Usage-based compensation or reputation gains.
  • Maintenance incentives for high-usage plugins.

Ranking Model

Rank plugins using a weighted score:

  • Reliability score (crash rate, schema conformance)
  • Quality score (benchmark outcomes)
  • Adoption score (active usage, retention)
  • Safety tier (penalty for lower tiers)

Example formula:

RankScore =
  0.35*Reliability +
  0.30*Quality +
  0.20*Adoption +
  0.15*SafetyTier

Output Schema

{
  "plugin_id": "plug_210",
  "version": "1.3.0",
  "ranking_score": 0.91,
  "downloads": 2480,
  "safety_tier": "Tier 1"
}

Governance and Moderation

  • Require safety certification for Tier 1 listing.
  • Provide a takedown path for malicious or broken plugins.
  • Enforce semantic versioning and compatibility checks.

Integration Points

  • Tied to runtime plugin safety governance.
  • Uses benchmarking harness for quality scoring.
  • Interfaces with plugin adaptation lifecycle.

Success Metrics

  • Growth in active plugins.
  • Increase in reused plugins per plan.
  • Contributor retention and maintenance rates.

Risks

  • Ranking manipulation or gaming.
  • Low-quality plugin proliferation.
  • Misaligned incentives for short-term usage over long-term quality.

Future Enhancements

  • Revenue sharing models.
  • Federated plugin registries.
  • Automated dependency compatibility checks.

Detailed Implementation Plan

Phase A — Retrieval Stack

  1. Build semantic capability index for plugins.
  2. Add feature store for rank signals (fit, reliability, recency, reuse).
  3. Implement top-k retrieval with configurable cutoffs.

Phase B — Ranking Model

  1. Compute blended ranking score with policy-tunable weights.
  2. Add duplicate detection and merge recommendations.
  3. Add exploration mode for discovering undervalued plugins.

Phase C — Feedback and Economy

  1. Capture runtime success feedback per plugin use.
  2. Adjust ranking via online updates with decay.
  3. Reward stable high-performing plugins via visibility boosts.

Validation Checklist

  • Top-1 retrieval success rate
  • Duplicate plugin creation reduction
  • Reuse rate growth over time