simmer CLAUDE.md

simmer CLAUDE.md is an instructions file for coding agents from 2389-research/simmer. It costs 1,220 tokens per session, scanned A, original, MIT.

Project instructions for Simmer, an iterative workflow that repeatedly improves a file, workspace, pipeline, or configuration against chosen criteria.

In plain words
What is it for?
Use it when refining an artifact through repeated review, using human judgment, runnable checks, or both.
Why use it?
It provides a defined process for generating revisions, judging them, tracking the best version, and carrying feedback into the next round.

Instructions file

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 instructions/2389-research/simmer/claude-md
Clone the repo
git clone --depth 1 https://github.com/2389-research/simmer

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 simmer CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/2389-research/simmer/claude-md.svg)](https://agentmods.dev/instructions/2389-research/simmer/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/2389-research/simmer/claude-md"><img src="https://agentmods.dev/badge/instructions/2389-research/simmer/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,220 This file is loaded in full into every session.
When invoked 1,220 The same file — it is already loaded in full.
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 5.1 $0.01220 $0.01220
Opus 5 $0.00610 $0.00610
Sonnet 5 $0.00244 $0.00244
Haiku 4.5 $0.00122 $0.00122

Measured 5d ago against content hash d094a50c64f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

simmer CLAUDE.md 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 5d 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.

CLAUDE.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Simmer Plugin

Overview

Simmer is an iterative refinement skill. It takes any artifact — a single file, a workspace of multiple files, a pipeline, a configuration — and hones it repeatedly against user-defined criteria. Evaluation can be subjective (judge-based), objective (runnable script), or hybrid (both).

Skills Included

Skill Triggers Description
simmer "simmer this", "refine this", "hone this", "iterate on this", "optimize this pipeline" Orchestrator: setup → loop → output

Subskills (invoked by orchestrator)

Subskill Role
simmer:simmer-setup Identify artifact (file or workspace), elicit criteria, determine evaluation method, produce setup brief
simmer:simmer-generator Produce improved candidate from current + ASI feedback + background context
simmer:simmer-judge Score candidate 1-10 per criterion (with optional evaluator output), produce ASI
simmer:simmer-judge-board Multi-judge panel with deliberation — drop-in replacement for simmer-judge when JUDGE_MODE is board
simmer:simmer-reflect Record trajectory, track best-so-far, pass ASI forward

Flow

"Simmer this" / "Refine this" / "Optimize this pipeline"
    ↓
Setup (identify artifact + criteria + evaluation method)
    ↓
Iteration 0: Evaluate the seed
    ↓
Loop N times:
  Generate (address ASI) → Evaluate (run evaluator if present) → Judge (score + new ASI) → Reflect (record)
    ↓
Output best candidate + trajectory

Key Design Decisions

Context discipline: Generator doesn't see scores (avoids optimizing for numbers). Judge doesn't see intermediate scores (avoids anchoring). Reflect is the only subskill that sees the full trajectory.

Seed calibration: Judge receives the seed artifact + iteration-0 scores on every iteration as a fixed calibration reference. Can score above or below the seed. This compresses score variance across runs.

ASI (Actionable Side Information): Judge identifies the highest-leverage direction each round. For single-file targets, this is a single focused fix. For workspace targets, this is a single strategic direction that may involve coordinated changes across multiple files. Focused directional improvement compounds better than scattered edits.

Read the full file on GitHub · 125 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. 5d ago First seen · 125 lines · 1,220 tokens per session scan A d094a50c64f4

Subscribe to this mod's changes

simmer CLAUDE.md is an instructions file published in the GitHub repository 2389-research/simmer (14 stars, last pushed 2mo ago), licensed MIT. It adds 1,220 tokens to every session, about $0.0061 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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