Agentic Plugin Marketplace is a collection of reusable plugins, agents, skills, commands, and rules for coding-agent tools including Claude Code, Codex CLI, Cursor, OpenCode, Antigravity CLI, and GitHub Copilot. It is for developers assembling agentic workflows across multiple harnesses from shared Markdown sources, and the catalogue entries are examples or subsets of those workflow components.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/wshobson/agentsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/plugins/wshobson/agents/agent-orchestration)<a href="https://agentmods.dev/plugins/wshobson/agents/agent-orchestration"><img src="https://agentmods.dev/badge/plugins/wshobson/agents/agent-orchestration/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/plugins/wshobson/agents/agent-orchestration"><img src="https://agentmods.dev/badge/plugins/wshobson/agents/agent-orchestration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
agent-orchestration scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
{
"name": "agent-orchestration",
"version": "1.2.2",
"description": "Multi-agent system optimization, agent improvement workflows, and context management",
"author": {
"name": "Seth Hobson",
"email": "[email protected]"
},
"license": "MIT"
}
What it installs
The manifest is a name and a version. 2 commands, 1 agent travel with it, and installing the plugin installs all of them — 106 tokens a session between them. Each is measured on its own page, and each can be installed alone.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 11 lines scan A 499001de222b
agent-orchestration is a plugin published in the GitHub repository wshobson/agents (40,926 stars, last pushed yesterday), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other plugins, from other repositories
mnemoverse-memory
Persistent memory for AI agents, shared across tools: write a memory in one MCP client, recall it in another. OAuth sign-in, no API key to paste.
magician
Skills and agents for the software lifecycle in Claude Code: research, design, planning, test-first building, code review, security checks and release. Includes a local code index, per-project workspace notes, stack-specific guidance at session start, and optional Jira and Confluence access.
carryover
Carry your context across AI coding tools. Adds /carryover and /headroom commands plus a save-to-memory prompt at the end of each session, backed by the headroom proxy.
loop-engineering
Design production-grade, memory-backed agent loops. Classify deterministic vs non-deterministic, scan your harness (skills/agents/MCP/hooks), derive durable state from the goal, separate done-gates from guardrails, and emit a /loop-ready prompt behind a human approval gate.
ultramemory-kit
UltraMemory Agent Kit — recall-first memory (Turbo Token Saver), the grounding/checklist harness, and optional MCP + Playwright setup for Claude Code. Bring your own UltraMemory API key.
humanizer
Rewrite AI-sounding text so it reads like the writer without changing what it says.