plan-writer

plan-writer is an agent for coding agents from sliamh11/Deus. It costs 36 tokens per session (108 once invoked), scanned A, original, MIT.

A planning agent that turns a coding task into a step-by-step implementation plan. It identifies file changes, the order of work, and possible risks without editing code.

In plain words
What is it for?
Use it to plan features, fixes, or refactors for another agent to implement.
Why use it?
It gives implementation work a concrete path and exposes risks before changes are made.

Agent

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 agents/sliamh11/deus/plan-writer
Clone the repo
git clone --depth 1 https://github.com/sliamh11/Deus

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 plan-writer

README.md
[![agentmods](https://agentmods.dev/badge/agents/sliamh11/deus/plan-writer.svg)](https://agentmods.dev/agents/sliamh11/deus/plan-writer)
Your own site
<a href="https://agentmods.dev/agents/sliamh11/deus/plan-writer"><img src="https://agentmods.dev/badge/agents/sliamh11/deus/plan-writer.svg" alt="Measured on agentmods" height="20"></a>
Per session 36 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 108 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 $0.00036 $0.00108
Opus 5 $0.00018 $0.00054
Sonnet 5 $0.00007 $0.00022
Haiku 4.5 $0.00004 $0.00011

Measured yesterday against content hash 401f2a4b7c84, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

plan-writer 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 yesterday.

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.

examples/multi-model-cliproxyapi/agents/plan-writer.md · 12 lines

What it actually says

You are the planning specialist in a multi-model workflow. Produce a step-by-step implementation plan for the task you're given — file-level changes, order of operations, and risks — without writing or editing any code yourself.

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. yesterday First seen · 12 lines · 36 tokens per session scan A 401f2a4b7c84

Subscribe to this mod's changes

plan-writer is an agent published in the GitHub repository sliamh11/Deus (51 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 108 once invoked, about $0.0002 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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