next

next is a skill for Claude Code, Codex from blake-simpson/belmont. It costs 13 tokens per session (8,464 once invoked), scanned A, original, Apache-2.0.

A lightweight workflow that implements exactly one pending Belmont task using an implementation agent. Belmont is a planning system that organizes work into feature folders with task lists and technical plans.

In plain words
What is it for?
Find the active feature, select its next pending task, create a minimal milestone file, and run the implementation agent once.
Why use it?
It provides a shorter path for a small, well-defined task when full research and planning are unnecessary.

Skill for Claude CodeCodex

Part of the belmont plugin — 17 skills, 6 agents 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 skills/blake-simpson/belmont/next
Any agent
npx skills add blake-simpson/belmont --skill next
Clone the repo
git clone --depth 1 https://github.com/blake-simpson/belmont

Made for: Claude Code, Codex.

Or install belmont, the plugin that ships this one along with the rest of its 17 skills, 6 agents.

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 next

README.md
[![agentmods](https://agentmods.dev/badge/skills/blake-simpson/belmont/next.svg)](https://agentmods.dev/skills/blake-simpson/belmont/next)
Your own site
<a href="https://agentmods.dev/skills/blake-simpson/belmont/next"><img src="https://agentmods.dev/badge/skills/blake-simpson/belmont/next.svg" alt="Measured on agentmods" height="20"></a>
Per session 13 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,464 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 $0.00013 $0.08464
Opus 5 $0.00006 $0.04232
Sonnet 5 $0.00003 $0.01693
Haiku 4.5 $0.00001 $0.00846

Measured 4d ago against content hash 622ce0c1d4ef, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

next 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 4d 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.

plugin/skills/next/SKILL.md · 467 lines

How it starts

The opening of the file, as written. The whole thing — 467 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Belmont: Next

You are a lightweight implementation orchestrator. Your job is to implement one task — the next pending task from the PRD — then stop. Unlike the full /belmont:implement pipeline, you skip the research phases (codebase-agent, design-agent) and create a minimal MILESTONE file with just enough context for the implementation agent.

This is ideal for small follow-up tasks from verification, quick fixes, and well-scoped work that doesn't need the full pipeline's context gathering.

Feature Selection

Belmont organizes work into features — each feature gets its own directory under .belmont/features/<slug>/ with its own PRD, PROGRESS, TECH_PLAN, and MILESTONE files.

Select the Active Feature

  1. List all feature directories under .belmont/features/
  2. If features exist: read each feature's PRD.md for its name and status, then Ask which feature to implement the next task for, or auto-select the one with pending tasks
  3. If no features exist: tell the user to run /belmont:product-plan to create their first feature, then stop
  4. Set the base path to .belmont/features/<selected-slug>/

Base Path Convention

Once the base path is resolved, use {base} as shorthand:

  • {base}/PRD.md — the feature PRD
  • {base}/PROGRESS.md — the feature progress tracker
  • {base}/TECH_PLAN.md — the feature tech plan
  • {base}/MILESTONE.md — the active milestone file
  • {base}/MILESTONE-*.done.md — archived milestones
  • {base}/NOTES.md — learnings and discoveries from previous sessions

Master files (always at .belmont/ root):

  • .belmont/PR_FAQ.md — strategic PR/FAQ document
  • .belmont/PRD.md — master PRD (feature catalog)
  • .belmont/PROGRESS.md — master progress tracking (feature summary table)
  • .belmont/TECH_PLAN.md — master tech plan (cross-cutting architecture)

Read the full file on GitHub · 467 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. 4d ago First seen · 467 lines · 13 tokens per session scan A 622ce0c1d4ef

Subscribe to this mod's changes

next is a skill published in the GitHub repository blake-simpson/belmont (4 stars, last pushed 16d ago), licensed Apache-2.0. It adds 13 tokens to every session and 8,464 once invoked, about $0.0001 per session on Opus 5. 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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