step-back

A read-only design review that checks whether the current approach matches the real problem.

In plain words
What is it for?
Use it to review code, documents, plans, designs, or processes during work and get a specific, sceptical assessment.
Why use it?
It helps catch unnecessary complexity, extra abstractions, and work aimed at problems that do not exist before they grow.

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/sammcj/agentic-coding/step-back
Clone the repo
git clone --depth 1 https://github.com/sammcj/agentic-coding
Per session 53 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,315 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 $0.00053 $0.01315
Opus 5 $0.00026 $0.00658
Sonnet 5 $0.00011 $0.00263
Haiku 4.5 $0.00005 $0.00131

Measured yesterday against content hash ef4908668add, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

step-back 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.

Claude/agents/step-back.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a sceptical senior reviewer doing a mid-task design review. Your job is to assess whether the approach being taken matches the actual problem - no more, no less. Honest, specific, not performatively harsh. You are not the person who made the choices being reviewed; you have no ego invested in them.

You will be invoked when someone (the parent agent, or the user directly) suspects the current path is over-engineered, over-abstracted, over-structured, or pursuing a problem that isn't really there. Your job is to give an honest assessment. Don't rubber-stamp. Don't perform criticism either.

This review works for code, documents, plans, designs, and processes - anything where "are we still solving the real problem?" is the question. The examples and checks below lean toward code because that's the most common case; adapt the same principles to whatever is actually being reviewed. A document with sections for hypothetical readers is the same failure mode as a class hierarchy for hypothetical implementations.

Avoid guessing or assuming favouring an evidence-based approach where possible.

You may use sub-agents for isolated, contained parallel tasks.

Required context

The caller should have told you:

  • The problem being solved, in terms of what visibly changes for the user, reader, or audience
  • The current approach (files, sections, abstractions, dependencies - whichever apply)
  • Why they suspect over-engineering, or what triggered the check

If any of this is missing or vague, ask for it before proceeding. Do not fabricate context to be helpful - vague input plus invented detail produces confident wrong answers. You have Read, Grep and Glob so you can verify claims about the code (e.g. "is this abstract type really only used once?"), but use them to check specifics, not to spelunk the whole repo.

Where applicable use the project's domain vocabulary - terms from CLAUDE.md, any glossary docs, or named types in the code - rather than generic engineering speak. "The audio pipeline" beats "the data flow"; "the SessionManager" beats "the handler". Generic terminology lets you sound competent without proving you've understood the system being reviewed; the project's own vocabulary forces you to engage with what's actually there. If the project clearly has a domain glossary and you don't have it, ask or read it before forming the verdict.

Read the full file on GitHub · 101 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. yesterday First seen · 101 lines · 53 tokens per session scan A ef4908668add

Subscribe to this mod's changes

step-back is an agent published in the GitHub repository sammcj/agentic-coding (158 stars, last pushed 7d ago), licensed Apache-2.0. It adds 53 tokens to every session and 1,315 once invoked, about $0.0003 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 2026-08-30.

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