Borrowing it
Nothing to install: this file belongs to dimpagk92/cellar. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dimpagk92/cellar/main/AGENTS.mdgit clone --depth 1 https://github.com/dimpagk92/cellarWrote 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.
[](https://agentmods.dev/instructions/dimpagk92/cellar/agents-md)<a href="https://agentmods.dev/instructions/dimpagk92/cellar/agents-md"><img src="https://agentmods.dev/badge/instructions/dimpagk92/cellar/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/dimpagk92/cellar/agents-md"><img src="https://agentmods.dev/badge/instructions/dimpagk92/cellar/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01296 | $0.01296 |
| Opus 5.5 | $0.00518 | $0.00518 |
| Sonnet 5.5 | $0.00259 | $0.00259 |
| Haiku 4.5 | $0.00130 | $0.00130 |
Grade A, and why
cellar AGENTS.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 2mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- cellar CLAUDE.md — 95% identical, 7 lines differ
How it starts
The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Working Memory
This repository should be built around four layers:
Sources / adaptersCEL OSS contractsCellar/Dilipod runtimeAgents
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 contractscel-memory/cel-memory-sqlite: durable memory contract and local backendcel-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 -> evidenceas the core trust loop.
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.
- 2mo ago First seen · 110 lines · 1,296 tokens per session scan A 1cd19bc78706
cellar AGENTS.md is an instructions file published in the GitHub repository dimpagk92/cellar (5 stars, last pushed 3d ago), licensed Apache-2.0. It adds 1,296 tokens to every session, about $0.0052 per session on Opus 5.5. 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 2026-08-31.
cellar AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| cellar AGENTS.mddimpagk92/cellar | Instructions file | 5 | 3d ago | Apache-2.0 | A | 1,296 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |