defer

defer is a plugin for Claude Code from fledgeling-co/fledgeling-plugins. Its manifest loads nothing; the 1 skill it bundles cost 318 tokens per session together, scanned A, original, MIT.

A model-routing plugin that decides where a piece of work should run and produces the command to send it there. It uses task categories, capability results, model effort settings, and available budget information.

In plain words
What is it for?
Use it to route coding or other delegated tasks to a suitable model, generate the required command, and check the routing result.
Why use it?
It removes repeated guesswork about which model to use and how to verify that the selected route actually ran.

Plugin for Claude Code

Written for Claude Code: a Claude Code plugin manifest.

Good fit Use it to route coding or other delegated tasks to a suitable model, generate the required command, and check the routing result.

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Install in Claude Code
/plugin marketplace add fledgeling-co/fledgeling-plugins
/plugin install defer
Install

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.

Clone the repo
git clone --depth 1 https://github.com/fledgeling-co/fledgeling-plugins

Made for: Claude Code.

Wrote 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.

agentmods badge for defer

README.md
[![agentmods](https://agentmods.dev/badge/plugins/fledgeling-co/fledgeling-plugins/defer/github.svg)](https://agentmods.dev/plugins/fledgeling-co/fledgeling-plugins/defer)
Your own site
<a href="https://agentmods.dev/plugins/fledgeling-co/fledgeling-plugins/defer"><img src="https://agentmods.dev/badge/plugins/fledgeling-co/fledgeling-plugins/defer/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.

agentmods 80×15 button for defer

Your own site · 80×15
<a href="https://agentmods.dev/plugins/fledgeling-co/fledgeling-plugins/defer"><img src="https://agentmods.dev/badge/plugins/fledgeling-co/fledgeling-plugins/defer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session not measured What this adds to a session before it is invoked.
When invoked not measured The manifest loads nothing itself; its 1 skill cost 318 tokens a session between them.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Security

Grade A, and why

defer 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.

plugins/defer/.claude-plugin/plugin.json · 10 lines

What it actually says

{
  "name": "defer",
  "description": "Decide which model a piece of work goes to, at which thinking level, and produce the exact command that sends it there. One routing policy for every skill that hands work outside the session. Resolves user-preferred current model roles from the runtime first; a registry then maps nine task classes to calibrated lanes, each pinned to a model and an effort, with the CLI arguments, the environment GLM needs, and the check that proves the lane ran as routed. GPT-6 Astra is the OpenAI-family spine at three thinking levels \u2014 low is the workhorse tier alongside sol at high, fable at medium and grok at high, while medium and high are frontier capacity reserved for the hardest problems and reachable only by asking. Gemini 3.8 Flash is the fast implementation lane once a spec or plan exists, grok and GLM are trusted to orchestrate, and design work stays on Opus and Fable. Narrows lanes by what the work actually is, against a capability matrix measured over 106 benchmark tasks, and marks borrowed rows, placeholder prices and inert penalties as such rather than presenting them as measurements. Where several lanes remain it picks the one with the most plan headroom per remaining day. Use when a skill needs a second opinion, an out-of-family verdict, a completeness critic, an implementation lane, an orchestrator or a design review, and whenever someone asks which model should do something, why a lane was chosen, what a lane costs, whether a cheaper model could do it instead, or whether one is out of allowance.",
  "version": "1.5.0",
  "author": {
    "name": "Fledgeling",
    "email": "[email protected]"
  }
}
Contents

What it installs

The manifest is a name and a version. 1 skill travel with it, and installing the plugin installs all of them — 318 tokens a session between them. Each is measured on its own page, and each can be installed alone.

Changes

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.

  1. 1mo ago Changed 98bcbb206fc6
  2. 1mo ago Changed 16fabf297166
  3. 1mo ago Changed d8c71e5c6aac
  4. 1mo ago First seen · 10 lines scan A 6bc984a1079c

Subscribe to this mod's changes

defer is a plugin published in the GitHub repository fledgeling-co/fledgeling-plugins (2 stars, last pushed 4d ago), 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 2026-08-31.