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 skills/supportersimulator/3-surgeons/ab-validatenpx skills add supportersimulator/3-surgeons --skill ab-validategit clone --depth 1 https://github.com/supportersimulator/3-surgeonsWrote 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/skills/supportersimulator/3-surgeons/ab-validate)<a href="https://agentmods.dev/skills/supportersimulator/3-surgeons/ab-validate"><img src="https://agentmods.dev/badge/skills/supportersimulator/3-surgeons/ab-validate.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 5.1 | $0.00019 | $0.00273 |
| Opus 5 | $0.00010 | $0.00137 |
| Sonnet 5 | $0.00004 | $0.00055 |
| Haiku 4.5 | $0.00002 | $0.00027 |
Grade A, and why
ab-validate 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 5d 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
A/B Validate
Quick 3-surgeon validation for proposed fixes. Faster than full cross-examination, more rigorous than a single opinion.
When to Use
- After writing a bug fix, before committing
- After a refactor, to sanity-check the approach
- When you want a quick thumbs-up/thumbs-down from all three surgeons
- For validating that a proposed change doesn't introduce regressions
When NOT to Use
- Major architectural decisions → use
cross-examinationinstead - Comparing two approaches → use
ab-testinginstead - Just need one surgeon's opinion → use
direct-queryinstead
How It Works
- Describe the fix or change
- All three surgeons vote independently
- Results synthesized into a verdict
Output
verdict— approved, rejected, or needs-reviewreasoning— why the verdict was reachedsurgeon_votes— each surgeon's individual vote (disagreements visible)
MCP tool: ab_validate_tool
CLI: 3s ab-validate "description of the fix"
Cost
~$0.001-0.003 per validation.
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.
- 5d ago First seen · 41 lines · 19 tokens per session scan A 85d6139da79e
ab-validate is a skill published in the GitHub repository supportersimulator/3-surgeons (2 stars, last pushed 3mo ago), licensed MIT. It adds 19 tokens to every session and 273 once invoked, about $0.0001 per session on Opus 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.
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