agent-assign

A task dispatcher that matches a development request with a specialised software agent, such as one for frontend work, testing, security, documentation, or deployment. It explains the choice and can start the selected agent.

In plain words
What is it for?
Use it when you have a task description and want help choosing an agent for architecture, backend, frontend, testing, DevOps, security, or documentation work.
Why use it?
Choosing the right specialist for each task can take time, especially when a request crosses several areas of software development. This provides a visible recommendation and alternatives.

Command

Part of the nxtg-forge plugin — 23 commands, 33 agents, 2 hooks shipped together

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.

agentmods
npx agentmods add commands/nxtg-ai/forge-plugin/agent-assign
Clone the repo
git clone --depth 1 https://github.com/nxtg-ai/forge-plugin

Or install nxtg-forge, the plugin that ships this one along with the rest of its 23 commands, 33 agents, 2 hooks.

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,265 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.01265
Opus 5 $0.00000 $0.00633
Sonnet 5 $0.00000 $0.00253
Haiku 4.5 $0.00000 $0.00127

Measured 3d ago against content hash b286c9684ec7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agent-assign 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 3d 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.

docs/commands/agent-assign.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/forge:agent-assign

Intelligently match tasks to the best specialized agent by analyzing task domain, complexity, and required skills, then launch the agent to execute autonomously.

Level L1 Vibe Coder
Category Feature Development
Syntax /forge:agent-assign [task description] [--list] [--auto] [--agent <name>]

What It Does

/forge:agent-assign is the intelligent dispatcher for Forge's 22 specialized agents. You describe a task, and the command analyzes its domain (architecture, backend, frontend, testing, devops, security, docs), complexity, and required skills, then recommends the best-fit agent with a match score and reasoning. It also suggests alternative agents in case you want a different approach.

Behind the scenes, the command uses keyword mapping to score each agent against the task description. Terms like "refactor" and "pattern" score high for the architect agents; "deploy" and "docker" score high for the devops agent; "vulnerability" and "audit" score high for the security agent. The scoring is transparent -- you see why a particular agent was chosen.

Without this command, you would need to memorize which of the 22 agents handles what, manually invoke the Task tool with the right agent type and prompt, and handle orchestrator task claiming yourself. /forge:agent-assign automates the matching, handles orchestrator integration (claiming tasks, locking files, recording knowledge), and confirms before launching.

Syntax & Options

/forge:agent-assign [task description] [--list] [--auto] [--agent <name>]
Option Description
task description Natural language description of the task to assign
--list Display all 22 available agents with their specialties and tools
--auto Auto-assign based on task analysis without asking for confirmation (default behavior)
--agent <name> Manually assign to a specific agent by name, bypassing the matching algorithm

Read the full file on GitHub · 118 lines

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. 3d ago First seen · 118 lines · 0 tokens per session scan A b286c9684ec7

Subscribe to this mod's changes

agent-assign is a command published in the GitHub repository nxtg-ai/forge-plugin (5 stars, last pushed 13d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,265 tokens. 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.

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