continue

continue is a skill for Claude Code, Codex from SienkLogic/plan-build-run. It costs 19 tokens per session (3,108 once invoked), scanned A, original, MIT.

An automation command that finds and performs the next logical step in a project workflow.

In plain words
What is it for?
It helps resume planning, building, or verification work and stops when it reaches a checkpoint, error, or missing verification.
Why use it?
It reduces the need to inspect project status and decide manually what should happen next.

Skill for Claude CodeCodex

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/sienklogic/plan-build-run/continue
Any agent
npx skills add SienkLogic/plan-build-run --skill continue
Clone the repo
git clone --depth 1 https://github.com/SienkLogic/plan-build-run

Made for: Claude Code, Codex.

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 continue

README.md
[![agentmods](https://agentmods.dev/badge/skills/sienklogic/plan-build-run/continue.svg)](https://agentmods.dev/skills/sienklogic/plan-build-run/continue)
Your own site
<a href="https://agentmods.dev/skills/sienklogic/plan-build-run/continue"><img src="https://agentmods.dev/badge/skills/sienklogic/plan-build-run/continue.svg" alt="Measured on agentmods" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,108 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00019 $0.03108
Opus 5 $0.00010 $0.01554
Sonnet 5 $0.00004 $0.00622
Haiku 4.5 $0.00002 $0.00311

Measured today against content hash 202b06848bce, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

continue 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 today.

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/pbr/skills/continue/SKILL.md · 248 lines

How it starts

The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.

STOP — DO NOT READ THIS FILE. You are already reading it. This prompt was injected into your context by Claude Code's plugin system. Using the Read tool on this SKILL.md file wastes ~7,600 tokens. Begin executing Step 1 immediately.

/pbr:continue — Action-Oriented Resumption

You are running the continue skill. Unlike /pbr:progress which shows the dashboard and suggests the next action, /pbr:continue determines and EXECUTES the next logical step automatically. Stops safely at milestones, checkpoints, errors, and verification gaps.

This skill runs inline and may delegate to other skills via Task().


Step 0 — Immediate Output

Before ANY tool calls, display this banner:

╔══════════════════════════════════════════════════════════════╗
║  PLAN-BUILD-RUN ► NEXT STEP                                  ║
╚══════════════════════════════════════════════════════════════╝

Then proceed to Step 1.

Context Budget

Reference: skills/shared/context-budget.md for the universal orchestrator rules.

Additionally for this skill:

  • Minimize state reads — read only STATE.md lines 1-20 to determine next action
  • Delegate execution to the appropriate skill via Skill() or Task()
  • At context >= 500k (context_window_tokens >= 500000): Read full ROADMAP.md (already required), glob phase frontmatters, read PROJECT.md out-of-scope section. Total additional reads: ~10-30 small frontmatter reads.
  • At context < 500k (context_window_tokens < 500000): No change — reads only STATE.md lines 1-20 as before.

Core Principle

Do, don't ask. Read STATE.md, determine the next action, and execute it. The user wants hands-off forward progress.


Flow

Step 1: Read State

Parse $ARGUMENTS:

  • If --auto is present in $ARGUMENTS: set auto_mode = true. Log: "Auto mode enabled — passing --auto to delegated skills"
Argument Meaning
--auto Pass --auto flag to all delegated skills, increase consecutive chain limit from 6 to 20

Read the full file on GitHub · 248 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. today First seen · 248 lines · 19 tokens per session scan A 202b06848bce

Subscribe to this mod's changes

continue is a skill published in the GitHub repository SienkLogic/plan-build-run (17 stars, last pushed 5mo ago), licensed MIT. It adds 19 tokens to every session and 3,108 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 2026-09-03.

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