Agent Plugins Hub
Industry-standard reviewTestingv1.1.0

bayesian-compose Agent Plugin

Epistemic message composer with 30 Bayesian rationality criteria (LessWrong Sequences). Socratic interview before writing, draft generation with epistemic diagnosis, 4-tier scoring from recipient's perspective. Supports any message type (email, Slack, WhatsApp, etc.). Companion tool to email-triage: one filters what you receive, the other optimizes what you send. This catalog entry is pinned to reviewed commit 042ca67a4618 and records a qualification score of 90/100.

View source Install plugin
0 repository stars Apache-2.0 Updated Aug 7, 2026

Independent catalog review

Qualification snapshot

Qualified

Format

100/100

Quality

80/100

Qualified

90/100

Scores reflect package format and editorial quality checks at the fixed reviewed commit. They are not popularity ratings or security guarantees.

Installation

Install Bayesian Compose

Install the plugin from novanoticia/bayesian-compose-plugin at plugins/bayesian-compose. The generated command uses sparse checkout and keeps the reviewed repository path visible.

Terminal · Git sparse checkout
git clone --filter=blob:none --sparse https://github.com/novanoticia/bayesian-compose-plugin.git
cd bayesian-compose-plugin
git sparse-checkout set plugins/bayesian-compose
Review the fixed manifest and documentation before enabling the plugin.
Confirm your agent client supports the declared Agent Plugins specification.
Inspect required credentials, commands, network access, and side effects in the upstream source.

Explainable standards check

Conforms to Agent Plugins 1.0.0

Official latest version: 1.0.0 (Working Draft). The value is read from the official specification and cached for one day.

Read the official specification

This is a static package-format check, not a security audit, quality score, malware scan, or guarantee of client compatibility.

Canonical manifest schema

plugin.json targets the official 1.0.0 schema.

Agent Plugins specification §5.2

Required name and naming rules

The plugin name “bayesian-compose” satisfies the 1–64 character naming rules.

Agent Plugins specification §§5.3 and 5.5

Closed top-level schema

No unknown top-level manifest fields were found.

Agent Plugins specification §5.2

Manifest field types

All present metadata and extension fields use permitted JSON types.

Agent Plugins specification §§5.2–5.6

Root plugin.json file

A regular plugin.json file exists at the plugin root.

Agent Plugins specification §§4.1 and 5.1

Agent Skills discovery and format

1 immediate-child Agent Skill discovered; every SKILL.md passed required frontmatter and naming checks.

Agent Plugins specification §7.1 and Agent Skills specification

MCP configuration

No root mcp.json is present; MCP is optional and its absence is conforming.

Agent Plugins specification §§6.2 and 7.2

Independent catalog review

Why this plugin qualified

This is the original assessment excerpt captured during manual catalog selection. It describes review evidence, not a security guarantee or user rating.

A well-defined writing-assistance skill with a clear audience and purpose: it supports composing, evaluating, and replying to messages through a structured Socratic interview, explicit recipient-perspective analysis, and actionable drafting phases. The gate around a concrete desired recipient action and the distinction between composition, evaluation, and response modes provide meaningful differentiation beyond a trivial rewriting wrapper. The documented workflow is coherent and includes configu…

Capabilities

What can you do with bayesian-compose?

Epistemic message composer with 30 Bayesian rationality criteria (LessWrong Sequences). Socratic interview before writing, draft generation with epistemic diagnosis, 4-tier scoring from recipient's perspective. Supports any message type (email, Slack, WhatsApp, etc.). Companion tool to email-triage: one filters what you receive, the other optimizes what you send.

The reviewed package declares 1 skill(s), 1 MCP configuration(s), and 0 additional resource(s).

  • Use the bayesian-compose skill from the reviewed package
  • Connect through the bayesian-compose MCP configuration
  • Review the fixed plugin manifest at commit 042ca67a4618
  • Install the package from novanoticia/bayesian-compose-plugin/plugins/bayesian-compose
  • Verify the declared 1 skill, 1 MCP, and 0 resource entries

Reviewed package scope

Epistemic message composer with 30 Bayesian rationality criteria (LessWrong Sequences). Socratic interview before writing, draft generation with epistemic diagnosis, 4-tier scoring from recipient's perspective. Supports any message type (email, Slack, WhatsApp, etc.). Companion tool to email-triage: one filters what you receive, the other optimizes what you send.

Fixed-source qualification

Inspect the package at commit 042ca67a4618 with recorded format, quality, and qualification evidence.

Practical workflow

A source-backed Bayesian Compose workflow

Pass 01 / Inspect

Review the fixed source

Inspect plugin.json, the linked documentation, package inventory, license, and qualification excerpt at the reviewed commit.

Pass 02 / Verify

Install and validate locally

Install from the pinned repository path, confirm the client discovers the declared components, and review permissions before real use.

Package contents

What is included in bayesian-compose?

bayesian-compose declares 1 Skill, 1 MCP configuration, and 0 additional resources. The included-file links below point to the reviewed source repository.

Agent Skills

1

bayesian-compose

MCP servers

1

Portable MCP configuration

Package format

Agent Plugins

Official latest 1.0.0

plugin.json

plugin.json from the fixed reviewed source snapshot.

SKILL.md

SKILL.md from the fixed reviewed source snapshot.

Synced source content

Repository README

View original README

This README snapshot is stored by Agent Plugins Hub and refreshed by the daily GitHub synchronization pipeline. Remote images and embedded content are not loaded.

Source
https://github.com/novanoticia/bayesian-compose-plugin#readme

This repository does not currently provide a README snapshot. The plugin instructions below remain available.

Source documentation

Bayesian Compose source documentation

Request update View raw SKILL.md

Rendered from the linked GitHub source. Raw HTML is disabled, scripts cannot execute, remote images are omitted, and external links open separately.

Catalog scope

This page describes the fixed source snapshot selected for the Agent Plugins Hub catalog. It does not extend the upstream package's claims.

Package summary

Epistemic message composer with 30 Bayesian rationality criteria (LessWrong Sequences). Socratic interview before writing, draft generation with epistemic diagnosis, 4-tier scoring from recipient's perspective. Supports any message type (email, Slack, WhatsApp, etc.). Companion tool to email-triage: one filters what you receive, the other optimizes what you send.

Reviewed package inventory

  • Skills: bayesian-compose
  • MCP configurations: bayesian-compose
  • Additional resources: None declared
  • Plugin directory: plugins/bayesian-compose
  • Reviewed commit: 042ca67a4618b0f464557760faa938d68d48e2da

Qualification snapshot

  • Industry-standard format score: 100/100
  • Plugin quality score: 80/100
  • Qualification score: 90/100
  • Classification: skill

Editorial assessment excerpt

A well-defined writing-assistance skill with a clear audience and purpose: it supports composing, evaluating, and replying to messages through a structured Socratic interview, explicit recipient-perspective analysis, and actionable drafting phases. The gate around a concrete desired recipient action and the distinction between composition, evaluation, and response modes provide meaningful differentiation beyond a trivial rewriting wrapper. The documented workflow is coherent and includes configu…

The source CSV stores a 500-character assessment excerpt, so the paragraph above may end mid-sentence. It is review evidence, not a security guarantee or user rating.

Installation and verification

  1. Inspect the linked manifest and source documentation at the reviewed commit.
  2. Install from novanoticia/bayesian-compose-plugin using the plugin directory plugins/bayesian-compose.
  3. Confirm your client discovers the declared components.
  4. Review credentials, commands, network access, permissions, and consequential side effects before use.

Provenance

Manifest: https://github.com/novanoticia/bayesian-compose-plugin/blob/042ca67a4618b0f464557760faa938d68d48e2da/plugins/bayesian-compose/plugin.json

The catalog entry is pinned to the exact commit used during qualification. Upstream content may change after that snapshot.

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