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49 agents across 21 plugins (18 have agents; gate-and-ship is commands-only; axiom is skill/command-only; zig-lsp is config-only with no commands or agents). Key agents by model:
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49 agents across 24 plugins (18 have agents; gate-and-ship is commands-only; axiom, banthis, skill-curator, and system-prompt-curator are skill/command-only; zig-lsp is config-only with no commands or agents). Key agents by model:
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| Model | Agents | Use Case |
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|-------|--------|----------|
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<skills>
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## Skills
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42 skills across plugins. Agents invoke skills for reusable implementation.
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45 skills across plugins. Agents invoke skills for reusable implementation.
Copy file name to clipboardExpand all lines: CHANGELOG.md
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@@ -9,8 +9,16 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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## [Unreleased]
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## [5.13.0] - 2026-05-17
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### Added
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- Added the `axiom` plugin to the agentsys marketplace and static docs metadata. Axiom provides durable agent-native memory, project context loading, scoped querying, project scaffolding, and human-approved record proposals.
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- Added `banthis` as a published standalone plugin pinned to `v0.3.0`. It provides durable negative behavior memory through a tiny CLI, skill, and slash command.
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- Added `skill-curator` as a published standalone plugin pinned to `v1.0.0` for production-grade `SKILL.md` authoring and review.
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- Added `system-prompt-curator` as a published standalone plugin pinned to `v2.0.0` for autonomous coding-agent system prompt curation.
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### Changed
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- Updated marketplace, Codex metadata, docs, and website counts to 24 plugins, 49 agents, and 45 skills.
<em>Plugins distributed as standalone repos under <ahref="https://github.com/agent-sh">agent-sh</a> org - agentsys is the marketplace & installer</em>
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</p>
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## What This Is
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An agent orchestration system - 21 plugins, 49 agents (39 file-based + 10 role-based specialists in audit-project), and 42 skills that compose into structured pipelines for software development. Each plugin lives in its own standalone repo under the [agent-sh](https://github.com/agent-sh) org. agentsys is the marketplace and installer that ties them together.
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An agent orchestration system - 24 plugins, 49 agents (39 file-based + 10 role-based specialists in audit-project), and 45 skills that compose into structured pipelines for software development. Each plugin lives in its own standalone repo under the [agent-sh](https://github.com/agent-sh) org. agentsys is the marketplace and installer that ties them together.
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Each agent has a single responsibility, a specific model assignment, and defined inputs/outputs. Pipelines enforce phase gates so agents can't skip steps. State persists across sessions so work survives interruptions.
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|---------|--------------|
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|[The Approach](#the-approach)| Why it's built this way |
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|[Benchmarks](#benchmarks)| Sonnet + agentsys vs raw Opus |
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|[Commands](#commands)| All 21 commands overview |
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|[Skills](#skills)|42 skills across plugins |
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|[Commands](#commands)| All 24 commands overview |
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|[Skills](#skills)|45 skills across plugins |
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|[Skill-Only Plugins](#skill-only-plugins)| glide-mq and other non-command plugins |
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|[Command Details](#command-details)| Deep dive into each command |
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|[How Commands Work Together](#how-commands-work-together)| Standalone vs integrated |
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---
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### /banthis
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**Purpose:** Durable negative memory for repeated agent mistakes. Turn a user's "stop doing this" correction into a persistent rule in `CLAUDE.md` or `AGENTS.md`.
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**[banthis](https://github.com/agent-sh/banthis)** is a tiny standalone CLI plus skill. It maintains a managed banned-behaviors section, supports project or global targets, and includes an `init` meta-rule so agents learn when to invoke it automatically.
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**What it does:**
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| Command | Use |
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|---------|-----|
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|`banthis add "<title>" "<rule>"`| Add or update a banned behavior |
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|`banthis list`| List current bans |
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|`banthis show`| Print the managed section |
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|`banthis remove "<title>"`| Remove a ban |
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|`banthis init`| Install the meta-rule that teaches agents to call `banthis`|
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**Usage:**
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```bash
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/banthis "stop ending with vague optional follow-up offers"
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banthis add "No vague endings""Do not end with vague optional follow-up offers."
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banthis init --file AGENTS.md
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```
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---
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### /agnix
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**Purpose:** Lint agent configurations before they break your workflow. The first dedicated linter for AI agent configs.
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### /skill-curator
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> Create and improve reliable `SKILL.md` files
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```bash
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/skill-curator "create a skill for reviewing background jobs"
The skill curator focuses on trigger quality, clear scope, router patterns, concrete `Skip unless:` gates, token budgets, and agnix-ready structure across Claude Code, Codex, OpenCode, Cursor, Kiro, and similar tools.
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**Skill:** skill-curator
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---
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### /system-prompt-curator
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> Create and improve autonomous coding-agent system prompts
The system prompt curator rewrites prompts around task-matched identity, phased workflow, explicit tools, evidence-based completion criteria, and realistic error recovery examples. It separates prompt guidance from harness-level checks that belong in code.
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**Skill:** system-prompt-curator
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---
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### /onboard
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**Purpose:** Get oriented in any codebase in under 3 minutes.
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