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.
git clone --depth 1 https://github.com/revaya-ai/revaya-aios-workspace-templateWrote 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/revaya-ai/revaya-aios-workspace-template/challenge)<a href="https://agentmods.dev/commands/revaya-ai/revaya-aios-workspace-template/challenge"><img src="https://agentmods.dev/badge/commands/revaya-ai/revaya-aios-workspace-template/challenge/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/revaya-ai/revaya-aios-workspace-template/challenge"><img src="https://agentmods.dev/badge/commands/revaya-ai/revaya-aios-workspace-template/challenge.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 | $0.01779 |
| Opus 5.5 | $0.00000 | $0.00712 |
| Sonnet 5.5 | $0.00000 | $0.00356 |
| Haiku 4.5 | $0.00000 | $0.00178 |
Grade A, and why
challenge 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/challenge — "Is This the Best You Can Do?"
A quality gate for any work produced in your workspace. Run this against a plan, prompt, deliverable, script, or any output before considering it final.
Philosophy
When someone brings you work to review, the first question is: "Is this the best you can do?" If the answer is no, send them back to improve it. If the answer is yes, then your review drives growth — not remedial fixes.
This command forces that self-critique so work reaches "best I can do" quality before you review it. The goal is version 1 that's already been pressure-tested — not version 4 after three rounds of "what did we miss?"
When to Use
- After a planning command produces a plan — before approving it
- After writing a prompt, system message, or agent configuration
- After producing a client deliverable, proposal, or email
- After building a workflow, template, or command
- Anytime something feels "done" but hasn't been stress-tested
How to Run
/challenge path/to/file.md— challenge a specific file/challengethen paste content — challenge something from outside the workspace- After any command that produces output — run
/challengeto gut-check it
Steps
-
Read your workspace config (e.g., CLAUDE.md or equivalent) for conventions and priorities
-
Read the work being challenged — fully, not skimming
-
Identify what this work is (plan, prompt, script, deliverable, code, template, etc.) and what it's trying to accomplish
-
Read any relevant context — project state files, the brief it was built from, the problem it's solving. Don't critique in a vacuum.
-
Switch into critical reviewer mode. Not adversarial — rigorous. The goal is to surface everything that a thoughtful expert would catch. Evaluate across these dimensions, adapting weight based on what's being reviewed:
Completeness
- Does it cover everything it should? What's missing?
- Are there edge cases, failure modes, or scenarios that were ignored?
- Would someone executing this hit a dead end because something wasn't addressed?
- Are there unstated assumptions that need to be made explicit?
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.
- 2mo ago First seen · 149 lines · 0 tokens per session scan A a3b07e3a7a10
challenge is a command published in the GitHub repository revaya-ai/revaya-aios-workspace-template (2 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,779 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
refactor-clean
Refactor provided code for cleanliness, maintainability, and alignment with SOLID principles and modern best practices — no over-engineering.
ingest-cwe-taxonomies
Ingest CWE XML from MITRE and generate per-domain security audit taxonomies for PromptKit.
review
A command for reviewing code with security checks and a check for compliance with MX tags. The available description does not explain what MX tags are.
post
Post the current OCR review to a GitHub PR.
default-ai-review
Extract findings from the provided diff. Rank by severity. Produce a structured review. Emit one recommendation.
spec-trace-requirements
You are verifying that implementation changes trace back to specification requirements.