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/sandeep-alluru/groundcrew/domaingit clone --depth 1 https://github.com/sandeep-alluru/groundcrewWrote 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/sandeep-alluru/groundcrew/domain)<a href="https://agentmods.dev/commands/sandeep-alluru/groundcrew/domain"><img src="https://agentmods.dev/badge/commands/sandeep-alluru/groundcrew/domain.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 | $0.00118 |
| Opus 5 | $0.00000 | $0.00059 |
| Sonnet 5 | $0.00000 | $0.00024 |
| Haiku 4.5 | $0.00000 | $0.00012 |
Grade A, and why
domain 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 3d 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
8 near-identical copies found in the catalogue:
- domain — 92% identical, 2 lines differ
- domain — 92% identical, 2 lines differ
- domain — 91% identical, 2 lines differ
- domain — 91% identical, 2 lines differ
- domain — 91% identical, 2 lines differ
- domain — 88% identical, 2 lines differ
- domain — 88% identical, 2 lines differ
- domain — 88% identical, 2 lines differ
What it actually says
Domain-specific slash commands for groundcrew.
Replace this file with commands that match the tool's core operations. See agentdelta's .claude/commands/ for reference examples:
- diff.md — runs the primary comparison operation
- inspect.md — inspects a single artifact
- record.md — generates recording boilerplate
- add-adapter.md — scaffolds a new framework adapter
Naming convention: /project: where verb describes what it does, not what it is. "diff" not "agentdelta", "record" not "trace".
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.
- 3d ago First seen · 12 lines · 0 tokens per session scan A d48c7f3f0064
domain is a command published in the GitHub repository sandeep-alluru/groundcrew (0 stars, last pushed 17d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 118 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 2026-08-31.
Other commands, from other repositories
release
Prepare a release: bump version, finalize CHANGELOG, and show the git tag command.
domain
Domain-specific slash commands for clickproof.
pr-prep
Run the full pre-PR checklist and report what's ready and what needs fixing.
test
Run the full test suite with coverage and report results.
awesome-chatgpt
Search awesome-ChatGPT-repositories for open-source GitHub repositories related to ChatGPT and LLMs.
init
Scaffold a new MindBase project (v2 layout). Usage: /mb:init [template] [-- mission ...].