Borrowing it
Nothing to install: this file belongs to KbWen/agent-virtual-office. 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/KbWen/agent-virtual-office/main/.claude/commands/test-classify.mdgit clone --depth 1 https://github.com/KbWen/agent-virtual-officeWrote 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/kbwen/agent-virtual-office/test-classify)<a href="https://agentmods.dev/commands/kbwen/agent-virtual-office/test-classify"><img src="https://agentmods.dev/badge/commands/kbwen/agent-virtual-office/test-classify/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/kbwen/agent-virtual-office/test-classify"><img src="https://agentmods.dev/badge/commands/kbwen/agent-virtual-office/test-classify.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 | $0.00075 |
| Opus 5.5 | $0.00000 | $0.00030 |
| Sonnet 5.5 | $0.00000 | $0.00015 |
| Haiku 4.5 | $0.00000 | $0.00007 |
Grade A, and why
test-classify 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.
This is a copy
100% identical to test-classify — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
/test-classify
Execute the canonical workflow: .agent/workflows/test-classify.md
Required reads before execution
- Active Work Log — must contain classification
Execution
Follow every step in .agent/workflows/test-classify.md sequentially.
Auto-select test depth and evidence format based on task classification.
End response with ⚡ ACX.
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 · 14 lines · 0 tokens per session scan A 817e8d87d14e
test-classify is a command published in the GitHub repository KbWen/agent-virtual-office (61 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 75 tokens. A static security scan graded it A with 0 findings. It is 100% identical to test-classify, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
implement
E2E-first Test driven development — unit tests written last.
implement-feature
Implement an approved feature plan with fresh-context slices, TDD, revision-bound evidence, and PR-ready output.
cyber-purple-validation
Controlled purple validation using paired action-observation evidence, explicit defensive outcomes, and optional isolated lab routing.
zephyr-coverage-analysis
Analyze Zephyr test case coverage for a Jira user story and produce a QE management report with metrics, risk scoring, and prioritized recommendations.
implement-feature
Implement a feature end-to-end under the review-workflow (Primary Owner + conditional test stage + docs sync).
record
Record a browser walkthrough of a URL using Antigravity (agy). Generates .webm video, screenshots, and a report. Auto-converts to MP4 if ffmpeg is available.