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 skills add supportersimulator/3-surgeons --skill cross-examinationgit 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/cross-examination)<a href="https://agentmods.dev/skills/supportersimulator/3-surgeons/cross-examination"><img src="https://agentmods.dev/badge/skills/supportersimulator/3-surgeons/cross-examination/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/skills/supportersimulator/3-surgeons/cross-examination"><img src="https://agentmods.dev/badge/skills/supportersimulator/3-surgeons/cross-examination.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 | $0.00021 | $0.01128 |
| Opus 5 | $0.00010 | $0.00564 |
| Sonnet 5 | $0.00004 | $0.00226 |
| Haiku 4.5 | $0.00002 | $0.00113 |
Grade A, and why
cross-examination 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 9d 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cross-Examination
When to Trigger
Cross-examination is the heavyweight tool. Use it when the stakes justify the cost and latency:
- Major architectural decisions -- changing core data flow, adding new subsystems, restructuring modules
- Conflicting evidence -- two sources disagree, logs contradict expectations, behavior is non-deterministic
- High-risk changes -- touching authentication, payment flows, safety systems, production data
- Wide-impact changes -- modifying >3 files, changing shared interfaces, altering database schemas
- Persistent bugs -- root cause unclear after 15+ minutes of investigation
Do NOT use for: trivial fixes, style changes, single-file edits with clear scope, questions with obvious answers.
How to Invoke
CLI
3s cross-exam "Should we migrate from REST to GraphQL for the patient API?"
MCP Tool
cross_examine(topic="Should we migrate from REST to GraphQL for the patient API?", depth="full")
The depth parameter defaults to "full" (3-phase). There is currently one depth level; future versions may support "quick".
The 3-Phase Process
Phase 1: Independent Analysis
Both the Cardiologist (GPT-4.1-mini) and Neurologist (Qwen3-4B) analyze the topic independently. Neither sees the other's work. This prevents anchoring bias -- each model forms its own opinion from scratch.
Phase 2: Cross-Review
Each surgeon reviews the other's Phase 1 analysis. The Cardiologist reviews the Neurologist's work, looking for weaknesses, blind spots, and errors. The Neurologist does the same for the Cardiologist. This adversarial review is where most value is generated.
Phase 3: Synthesis
The Cardiologist (broader perspective from the external API model) synthesizes both analyses and both cross-reviews into a final report. The synthesis explicitly emphasizes disagreements -- where the surgeons diverge is the most valuable signal.
Interpreting Results
The result contains four key fields:
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.
- 9d ago First seen · 109 lines · 21 tokens per session scan A e6fb0f6ae9f9
cross-examination is a skill published in the GitHub repository supportersimulator/3-surgeons (2 stars, last pushed 3mo ago), licensed MIT. It adds 21 tokens to every session and 1,128 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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