cellar CLAUDE.md

cellar CLAUDE.md is an instructions file for coding agents from dimpagk92/cellar. It costs 1,288 tokens per session, scanned A, a copy of cellar AGENTS.md, Apache-2.0.

Working instructions for Cellar, a project that separates context, memory, briefs, action records, and live runtime responsibilities for AI-operated software.

In plain words
What is it for?
Use them when designing or changing sources, context snapshots, durable memory, per-turn model briefs, receipts, agents, or the hosted runtime.
Why use it?
They clarify which part of the system owns each responsibility and help keep new code aligned with the project direction.

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/dimpagk92/cellar/claude-md
Clone the repo
git clone --depth 1 https://github.com/dimpagk92/cellar

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 cellar CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/dimpagk92/cellar/claude-md.svg)](https://agentmods.dev/instructions/dimpagk92/cellar/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/dimpagk92/cellar/claude-md"><img src="https://agentmods.dev/badge/instructions/dimpagk92/cellar/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,288 This file is loaded in full into every session.
When invoked 1,288 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin 95% copy Near-identical to another mod 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 $0.01288 $0.01288
Opus 5 $0.00644 $0.00644
Sonnet 5 $0.00258 $0.00258
Haiku 4.5 $0.00129 $0.00129

Measured 4d ago against content hash 907c22f2561e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

cellar 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 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.

Origin

This is a copy

95% identical to cellar AGENTS.md — 7 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

CLAUDE.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Claude Code Working Memory

This repository should be built around four layers:

  • Sources / adapters
  • CEL OSS contracts
  • Cellar/Dilipod runtime
  • Agents

The durable OSS value is the context/memory/brief/receipt data plane, not one planner and not the live runtime itself.

The product direction is CEL as the context and trust layer for AI-operated software. Agents can plan in many ways; Cellar should make their context, memory, briefs, actions, verifications, and receipts reliable.

Repo Direction

  • Sources and adapters should be easy to build and extend.
  • OSS CEL should own context snapshots, merge contracts, memory contracts, brief assembly, transport schemas, and receipt schemas.
  • The commercial runtime should own live cortex operation, policy, monitoring, compliance, and hosted execution.
  • Agents should be pluggable: LangGraph, Mastra, Codex, Claude Code, GPT, Gemini, Cursor, n8n, or future in-house runtimes.

What CEL Owns

  • cel-context: fused context snapshot and merge contracts
  • cel-memory / cel-memory-sqlite: durable memory contract and local backend
  • cel-brief: per-turn LLM brief assembly / budgeting / brief receipts
  • receipt, event, MCP, CLI, SDK, and N-API schemas
  • the split between dispatch proof, model-input proof, and task completion proof

What The Commercial Runtime Owns

  • live cortex operation, freshness, diffs, anomalies, source prioritization
  • runtime capability reporting
  • adapter lifecycle, dispatch, and policy enforcement in production sessions
  • audit timelines, retention, alerting, compliance exports, and governance workflows

What CEL Does Not Need To Own Right Now

  • one mandatory planner
  • one mandatory orchestration runtime
  • retry / branching / checkpoint policy as a repo-defining concern

Built-in planners and runners can exist, but they should be treated as clients, examples, or transitional implementations unless proven otherwise.

Boundary Rules

  • Keep the agent boundary generic.
  • Preserve stable context, action, result, receipt, and adapter contracts.
  • Keep improving AX and the shared crates even when an app later gets an adapter.
  • Prefer app-specific structured truth in adapters over forcing everything through generic UI perception.
  • Do not make LangGraph, Mastra, or any single runtime the identity of the platform.
  • Do not design evals so they only make sense for one agent backend.
  • Treat intent -> dispatch -> observed effect -> evidence as the core trust loop.

Read the full file on GitHub · 109 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 · 109 lines · 1,288 tokens per session scan A 907c22f2561e

Subscribe to this mod's changes

cellar CLAUDE.md is an instructions file published in the GitHub repository dimpagk92/cellar (4 stars, last pushed 24d ago), licensed Apache-2.0. It adds 1,288 tokens to every session, about $0.0064 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to cellar AGENTS.md, differing in 7 lines, and is treated as a copy.