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.
npx agentmods add commands/melandlabs/openloomi/agentsgit clone --depth 1 https://github.com/melandlabs/openloomiWrote 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/commands/melandlabs/openloomi/agents)<a href="https://agentmods.dev/commands/melandlabs/openloomi/agents"><img src="https://agentmods.dev/badge/commands/melandlabs/openloomi/agents.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00096 |
| Opus 5 | $0.00000 | $0.00048 |
| Sonnet 5 | $0.00000 | $0.00019 |
| Haiku 4.5 | $0.00000 | $0.00010 |
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 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.
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.pyandsrc/registry.py. - Do not move benchmark execution logic into commands; delegate to
runtime/,runs/, tasks, and systems.
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.
- 4d ago First seen · 9 lines · 0 tokens per session scan A bccf9f0ea417
AGENTS is a command published in the GitHub repository melandlabs/openloomi (1,020 stars, last pushed 4d 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.
Other commands, from other repositories
awesome-chatgpt
Search awesome-ChatGPT-repositories for open-source GitHub repositories related to ChatGPT and LLMs.
/release
Release a new version — updates CHANGELOG, pyproject.toml, creates git tag, and pushes.
AGENTS
Per-command agent-optimized usage and structure guide.
speckit.archive
Archive a feature specification into main project memory after merge, resolving gaps and conflicts.
pr
Handle the full workflow from current branch state to an open, CI-monitored pull request.
speckit.extract
Extract ADRs, knowledge, and guidelines from completed specifications into dev/ documentation.