Instructions for the command-line subcommands of a software project. They define where argument parsing, configuration, setup, validation, scaffolding, and user-facing errors belong.

Adding or changing CLI subcommands while preserving argument handling, exit behavior, error messages, templates, and delegation to the project's runtime components.

They keep command-line behavior consistent and prevent core benchmark logic from being placed in the wrong part of the codebase.

AGENTS — Command for Claude Code by melandlabs/openloomi

About the project

OpenLoomi is an open-source desktop AI coworker that connects work tools, gathers context, and highlights decisions or actions needing attention. It is for people managing work across multiple apps, and its catalogue add-ons extend the resident desktop for agent frameworks such as Claude Code, Codex, OpenCode, Hermes, and OpenClaw.

melandlabs/openloomi · 1,040 stars · on GitHub · openloomi.ai

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.

Clone the repo

git clone --depth 1 https://github.com/melandlabs/openloomi

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/commands/melandlabs/openloomi/agents/github.svg)](https://agentmods.dev/commands/melandlabs/openloomi/agents)

Your own site

<a href="https://agentmods.dev/commands/melandlabs/openloomi/agents"><img src="https://agentmods.dev/badge/commands/melandlabs/openloomi/agents/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.

Your own site · 80×15

<a href="https://agentmods.dev/commands/melandlabs/openloomi/agents"><img src="https://agentmods.dev/badge/commands/melandlabs/openloomi/agents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 96 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.00096
Opus 5.5	$0.00000	$0.00038
Sonnet 5.5	$0.00000	$0.00019
Haiku 4.5	$0.00000	$0.00010

Measured 2mo ago against content hash bccf9f0ea417, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

AGENTS 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.

benchmark/continual-learning-bench/src/commands/AGENTS.md · 9 lines

What it actually says

AGENTS.md

CLI subcommands live here.

Keep argument parsing, config normalization, scaffolding, setup, validation, and friendly error reporting at this boundary.
Preserve argparse contracts, exit behavior, and user-facing error text unless a behavior change is approved.
Keep templates aligned with src/interface.py and src/registry.py.
Do not move benchmark execution logic into commands; delegate to runtime/, runs/, tasks, and systems.

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.

2mo ago First seen · 9 lines · 0 tokens per session scan A bccf9f0ea417

Subscribe to this mod's changes

AGENTS is a command published in the GitHub repository melandlabs/openloomi (1,040 stars, last pushed 1mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 96 tokens. 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.

LLM agent ai claw harness-engineering llm-model

AGENTS next to 6 commands from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
AGENTSmelandlabs/openloomi	Command	1.0k	1mo ago	Apache-2.0	A	0	Claude Code
awesome-chatgpttaishi-i/awesome-ChatGPT-repositories	Command	3.4k	yesterday	CC0-1.0	A	0	Claude Code
AGENTSlanggenius/dify	Command	160k	yesterday	none	A	0	Claude Code
rem_helpopenonion/connectonion	Command	1.5k	yesterday	Apache-2.0	B	0	Claude Code
commitechoVic/blade-code	Command	181	24d ago	MIT	A	8	Claude Code
speckit.archiveopsmill/infrahub-mcp	Command	10	yesterday	Apache-2.0	A	15	Claude Code
propsmill/infrahub-mcp	Command	10	yesterday	Apache-2.0	A	18	Claude Code