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 AndyZhuang/Opentest --skill realtime_protocol_guidance_promptsgit clone --depth 1 https://github.com/AndyZhuang/OpentestWrote 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/andyzhuang/opentest/realtime_protocol_guidance_prompts)<a href="https://agentmods.dev/skills/andyzhuang/opentest/realtime_protocol_guidance_prompts"><img src="https://agentmods.dev/badge/skills/andyzhuang/opentest/realtime_protocol_guidance_prompts/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/andyzhuang/opentest/realtime_protocol_guidance_prompts"><img src="https://agentmods.dev/badge/skills/andyzhuang/opentest/realtime_protocol_guidance_prompts.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 | $0.00066 | $0.03102 |
| Opus 5 | $0.00033 | $0.01551 |
| Sonnet 5 | $0.00013 | $0.00620 |
| Haiku 4.5 | $0.00007 | $0.00310 |
Grade A, and why
realtime_protocol_guidance_prompts 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 11d 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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Real-Time Protocol Guidance Prompts
Overview
realtime_protocol_guidance_prompts is the prompt-generation layer of the LabOS real-time XR guidance stack. Given the current first-person video frame (or VLM-derived scene description) and the active protocol context — current step, expected action, detected deviation, and operator state — it produces a single short guidance string optimized for voice synthesis (TTS) or AR overlay display. The output is imperative, concise, and actionable: "Add 50 µL buffer now." / "Vortex before proceeding." / "Step 4 complete. Move to pipette." — enabling hands-free, eyes-on-bench guidance that keeps the researcher in flow without interrupting to read a screen.
When to Use This Skill
Use this skill when any of the following conditions are present:
- Live XR-assisted protocol execution: An operator wearing an XR headset is executing a wet-lab protocol and needs step-by-step voice or AR prompts at each transition — the agent must generate the next prompt based on current frame and protocol state.
- Deviation correction delivery:
protocol_video_matchinghas detected a deviation (e.g., skipped step, wrong volume) and the agent must convert the deviation into a corrective prompt: "Vortex the lysate for 30 seconds before adding ethanol." - Step confirmation and next-step cue: The current step has been validated (VLM detected expected action) and the agent must generate the next prompt: "Step 4 complete. Proceed to add 600 µL ethanol."
- Timeout or stall detection: No expected action has been observed for a configurable duration; the agent must generate a reminder or prompt: "Continue with step 5: add ethanol to the lysate."
- Hands-free operation: The researcher cannot look at a screen; guidance must be delivered via TTS or minimal AR text overlay — prompts must be short (≤ 15 words for TTS, ≤ 8 for AR overlay).
- Multi-language support: The same protocol context must produce prompts in different languages (English, Spanish, Mandarin) for international teams or training.
- Training mode: A trainee is learning a protocol; prompts include optional hints or warnings: "Careful: add ethanol slowly to avoid precipitation."
- Error recovery: The operator has acknowledged a correction or asked for help; the agent must generate a recovery prompt: "Resume from step 6: centrifuge at 12,000 × g for 2 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.
- 11d ago First seen · 209 lines · 66 tokens per session scan A 0caca8b681ae
realtime_protocol_guidance_prompts is a skill published in the GitHub repository AndyZhuang/Opentest (22 stars, last pushed 6mo ago), licensed MIT. It adds 66 tokens to every session and 3,102 once invoked, about $0.0003 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 2026-08-30.
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