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/direct-querynpx skills add supportersimulator/3-surgeons --skill direct-querygit 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/direct-query)<a href="https://agentmods.dev/skills/supportersimulator/3-surgeons/direct-query"><img src="https://agentmods.dev/badge/skills/supportersimulator/3-surgeons/direct-query.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 | $0.00012 | $0.00467 |
| Opus 5 | $0.00006 | $0.00234 |
| Sonnet 5 | $0.00002 | $0.00093 |
| Haiku 4.5 | $0.00001 | $0.00047 |
Grade A, and why
direct-query 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 6d 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
Direct Query
Bypass the consensus protocol for targeted surgeon access. Use when you need a specific model's perspective, not a synthesis.
When to Use Direct vs Consensus
| Situation | Use |
|---|---|
| Quick classification or pattern match | ask-local (free, fast) |
| Need external perspective with evidence | ask-remote (~$0.0005) |
| Two surgeons disagree on something | test-dissent (steelmans minority) |
| Critical decision needs all three views | Cross-examination (not this skill) |
ask-local (Neurologist)
Direct query to the local Qwen3-4B. Zero cost, fast, good for pattern recognition and classification.
Best for: keyword extraction, severity classification, pattern matching, quick sanity checks.
MCP tool: ask_local_tool
CLI: 3s ask-local "your prompt"
ask-remote (Cardiologist)
Direct query to GPT-4.1-mini. Costs ~$0.0002-0.001 per query. Stronger reasoning, broader knowledge.
Best for: nuanced analysis, evidence evaluation, design review, research questions.
MCP tool: ask_remote_tool
CLI: 3s ask-remote "your prompt"
Dissent Testing
When surgeons disagree, the dissent protocol steelmans the minority position before dismissing it.
Process:
- Identify the disagreement topic and the minority view
test_dissentasks a surgeon to build the strongest possible case FOR the minority view- Returns: steelmanned argument, counter-evidence, verdict (valid/partially valid/unfounded), confidence
Verdicts:
dissent_valid— minority was right, reconsider the majority positiondissent_partially_valid— minority has a point, investigate furtherdissent_unfounded— majority position holds after steelmanning
Use resolve_disagreement when you have a dict of surgeon opinions and want automated dissent resolution.
Philosophy: "An opinion is not valid until you can argue both sides."
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.
- 6d ago First seen · 54 lines · 12 tokens per session scan A ae814d981ab2
direct-query is a skill published in the GitHub repository supportersimulator/3-surgeons (2 stars, last pushed 3mo ago), licensed MIT. It adds 12 tokens to every session and 467 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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