Borrowing it
Nothing to install: this file belongs to aviraldua93/architect-ai. 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/aviraldua93/architect-ai/main/.claude/commands/status.mdgit clone --depth 1 https://github.com/aviraldua93/architect-aiWrote 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/aviraldua93/architect-ai/status)<a href="https://agentmods.dev/commands/aviraldua93/architect-ai/status"><img src="https://agentmods.dev/badge/commands/aviraldua93/architect-ai/status/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/commands/aviraldua93/architect-ai/status"><img src="https://agentmods.dev/badge/commands/aviraldua93/architect-ai/status.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 | $0.00000 | $0.00078 |
| Opus 5.5 | $0.00000 | $0.00031 |
| Sonnet 5.5 | $0.00000 | $0.00016 |
| Haiku 4.5 | $0.00000 | $0.00008 |
Grade A, and why
status 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 1mo 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
Project Status
Show the current state of the ArchitectAI project.
Usage
/status — Full project status
What It Reports
- Question bank coverage (questions per domain, per task statement)
- Test suite health (passing/failing/skipped)
- Build status
- Content audit findings (P0/P1/P2)
- Sprint progress
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.
- 1mo ago First seen · 18 lines · 0 tokens per session scan A 1a1a44de15d5
status is a command published in the GitHub repository aviraldua93/architect-ai (5 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 78 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
status
Display project status, active tracks, and next actions.
amend-plan
Plan Amend - Discuss and apply amendments to a plan.json implementation plan.
update-counts
Explicitly refresh public toolkit and committed marketplace source snapshots and numeric documentation.
scout-meta-review
Run an interactive Scout meta-review — a system-level audit that sits above the individual session types. Checks whether sessions are running, mistake audit is trending well, proposals are flowing, KB files are healthy, and data-source coverage is consistent across session types. Runs in the current conversation.
triage
Process the user-feedback queue — triage new reports, keep the status mirror honest, and (at release time only) send the shipped emails.
pause
Checkpoint the ticket in play so it can be resumed later.