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/probenpx skills add supportersimulator/3-surgeons --skill probegit 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/probe)<a href="https://agentmods.dev/skills/supportersimulator/3-surgeons/probe"><img src="https://agentmods.dev/badge/skills/supportersimulator/3-surgeons/probe.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 | $0.00010 | $0.01111 |
| Opus 5 | $0.00005 | $0.00556 |
| Sonnet 5 | $0.00002 | $0.00222 |
| Haiku 4.5 | $0.00001 | $0.00111 |
Grade A, and why
probe 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.
How it starts
The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Probe
When to Probe
Probe is a health check -- it pings both the Cardiologist and Neurologist endpoints to verify they are reachable and responding. Run it:
- At session start -- before relying on any surgeon, confirm they are online
- Before critical operations -- if you are about to run a cross-examination or consensus that you cannot afford to have partially fail, probe first
- After infrastructure changes -- restarted Ollama, changed API keys, modified config, switched networks
- When a surgeon returns errors -- diagnose whether the issue is transient (network blip) or persistent (config error, service down)
Do NOT use for: routine operations where partial degradation is acceptable, or as a substitute for gains-gate (probe checks connectivity only, not full system health).
How to Invoke
CLI
3s probe
MCP Tool
probe()
No arguments needed. Probe checks all configured surgeons.
Interpreting Results
CLI Output
Probing surgeons...
Cardiologist: OK (245ms)
Neurologist: OK (89ms)
Atlas (Claude): always available (this session)
All surgeons operational.
MCP Tool Output
{
"cardiologist": {"status": "ok", "latency_ms": 245},
"neurologist": {"status": "ok", "latency_ms": 89},
"atlas": {"status": "ok", "note": "always available (this session)"}
}
Status Values
| Status | Meaning |
|---|---|
ok |
Surgeon responded successfully. latency_ms shows response time. |
fail |
Surgeon responded but with an error (e.g., invalid API key, model not found). Check the error field. |
unreachable |
Could not connect to the endpoint at all (network issue, service not running). |
Atlas Status
Atlas (Claude) is always reported as ok because it IS the current session. There is no endpoint to ping -- if you are reading this output, Atlas is operational.
What to Do When a Surgeon Is Down
Cardiologist Down (OpenAI API)
| Symptom | Likely Cause | Fix |
|---|---|---|
unreachable |
Network issue, OpenAI outage | Check internet, check status.openai.com |
fail with 401 |
Invalid API key | Verify OPENAI_API_KEY env var is set and valid |
fail with 429 |
Rate limited | Wait, reduce request frequency |
fail with 500+ |
OpenAI server error | Retry in a few minutes |
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 · 123 lines · 10 tokens per session scan A 7ae5dae68a29
probe is a skill published in the GitHub repository supportersimulator/3-surgeons (2 stars, last pushed 3mo ago), licensed MIT. It adds 10 tokens to every session and 1,111 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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