Borrowing it
Nothing to install: this file belongs to terrene-foundation/metis. 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/terrene-foundation/metis/main/.claude/commands/ws.mdgit clone --depth 1 https://github.com/terrene-foundation/metisWrote 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/terrene-foundation/metis/ws)<a href="https://agentmods.dev/commands/terrene-foundation/metis/ws"><img src="https://agentmods.dev/badge/commands/terrene-foundation/metis/ws/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/terrene-foundation/metis/ws"><img src="https://agentmods.dev/badge/commands/terrene-foundation/metis/ws.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 | $0.00010 | $0.00264 |
| Opus 5.5 | $0.00004 | $0.00106 |
| Sonnet 5.5 | $0.00002 | $0.00053 |
| Haiku 4.5 | $0.00001 | $0.00026 |
Grade A, and why
ws 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
Display the current workspace status. Do not modify any files.
-
List all directories under
workspaces/(excludinginstructions/). -
For the most recently modified workspace (or
$ARGUMENTSif specified):- Show workspace name and path
- Derive current phase from filesystem:
- Has
01-analysis/files -> Analysis done - Has
todos/active/files -> Todos created - Has
todos/completed/files -> Implementation in progress - Has
04-validate/files -> Validation done - Agents/skills were updated in phase 05 -> Codification done (check workspace
.session-notesor04-validate/)
- Has
- Count files in
todos/active/vstodos/completed/ - List the 5 most recently modified files in the workspace
- If
.session-notesexists, show its contents and age
Journal
- Read the workspace's
journal/directory - Count total entries and entries by type
- Show the 3 most recent entries (number, type, date, topic)
- Present as a compact summary.
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 · 28 lines · 10 tokens per session scan A a44d587a5ece
ws is a command published in the GitHub repository terrene-foundation/metis (2 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 10 tokens to every session and 264 once invoked, about $0.0000 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.
Other commands, from other repositories
cancel-ralph
Cancel active Ralph Loop.
engage.actions
Execute Phase 7 - Actions on Objectives and Goal Achievement.
r
Resume the last handoff and carry on with the outstanding work.
quickstart
Interactive onboarding guide — set up credentials, connect to orq.ai, and learn every command and skill.
focus
You are an ADHD focus assistant. Help the user commit to ONE task and block mental distractions.
stuck
You are an ADHD-friendly unblocking assistant. Help users get unstuck when they don't know what to do.