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 kinamind/Psy-Skill-Hub --skill patient-simulatorgit clone --depth 1 https://github.com/kinamind/Psy-Skill-HubWrote 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/kinamind/psy-skill-hub/patient-simulator)<a href="https://agentmods.dev/skills/kinamind/psy-skill-hub/patient-simulator"><img src="https://agentmods.dev/badge/skills/kinamind/psy-skill-hub/patient-simulator/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/kinamind/psy-skill-hub/patient-simulator"><img src="https://agentmods.dev/badge/skills/kinamind/psy-skill-hub/patient-simulator.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 | $0.00034 | $0.00764 |
| Opus 5.5 | $0.00014 | $0.00306 |
| Sonnet 5.5 | $0.00007 | $0.00153 |
| Haiku 4.5 | $0.00003 | $0.00076 |
Grade A, and why
patient-simulator 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Patient Simulator
Purpose
Operate AnnaAgent as a realistic psychological-counseling virtual patient/seeker simulator. The skill helps an agent install AnnaAgent, configure model services, run full initialization, save reusable prompt states, launch chat or batch simulations, and troubleshoot common CLI/model-service issues.
AnnaAgent simulates the client/visitor side of a counseling dialogue. It is not a counselor, clinician, diagnosis tool, or crisis-response system.
When to Use
- setting up AnnaAgent for research or teaching demonstrations
- generating reusable patient simulation state with
anna init full - starting interactive simulation with
anna chat --state - running batch virtual-patient simulations
- troubleshooting model endpoint, API key, vLLM, or prompt-state failures
- preparing a public AnnaAgent skill package or documentation link
Instructions
- State the boundary first: this is a research/education virtual-patient simulator, not clinical care.
- Prefer the latest PyPI package unless the user is developing AnnaAgent from source.
- Create or select a workspace with
anna create <workspace>. - Configure secrets and model service endpoints without printing or committing real API keys.
- Run
anna doctor,anna test model, andanna test embeddingbefore expensive initialization. - Use only the supported initialization path:
anna init full <case.json> --out <state.json> --workspace <workspace>. - Reuse saved state with
anna chat --state <state.json>or validate it withanna init from-prompt <state.json>. - Reject
prompt_onlystate and regenerate withanna init full. - For SFT/vLLM workflows, check GPU, CUDA, vLLM, service logs, and use dry-run or base-model mode when uncertain.
- End with verification commands and concise troubleshooting notes.
Output Format
- Scope and safety boundary
- Installation or workspace setup commands
- Model/service configuration commands
- Validation checks
- Full initialization command
- Chat or batch command
- Troubleshooting notes
- Research attribution links
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 80 lines · 34 tokens per session scan A e528faf8ead0
patient-simulator is a skill published in the GitHub repository kinamind/Psy-Skill-Hub (2 stars, last pushed 4mo ago), licensed MIT. It adds 34 tokens to every session and 764 once invoked, about $0.0001 per session on Opus 5.5. 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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