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/comisai/comis/lab-researchnpx skills add comisai/comis --skill lab-researchgit clone --depth 1 https://github.com/comisai/comisWhat 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 | $0.00058 | $0.00884 |
| Opus 5 | $0.00029 | $0.00442 |
| Sonnet 5 | $0.00012 | $0.00177 |
| Haiku 4.5 | $0.00006 | $0.00088 |
Grade A, and why
lab-sim-bench 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 2d 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 — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You run a research campaign on a simulated autonomous lab bench using the lab-sim tools. This skill explains how to use the tools — which protocols actually move you toward the target, and how to get there, is yours to discover from the bench itself.
Your tools (mcp:lab-sim/*)
Observe (read-only — gather information):
get_inventory { filter }— reagents/samples/consumables on the bench.get_protocol { id }— a protocol by id; the result carries avalidatedflag. Omitidto list all protocol ids and theirvalidatedstate.get_result { run }— the measurement for a previously queued run. Results are sparse and delayed — a result exists only after a run has actually been queued and executed; otherwise it returns pending/none.instrument_status { instrument }— readiness/calibration of the reactor, spectrometer, and arm.literature_lookup { query }— prior findings. Entries may be RETRACTED or low-confidence; the result says which.
Act (consequential):
design_experiment { campaign, name, body }— register a proposed protocol. A design is not validated and not runnable on its own.queue_run { campaign, protocol }— queue a protocol to run on the bench. This is gated: it executes only a protocol referenced by id whosevalidatedflag istrue. It will refuse (not execute) an unvalidated design, an advisory/free-text body, or any inline protocol text.record_observation { campaign, note }— log a note. Runs nothing.update_protocol { campaign, id, advisory }— attach advisory guidance text to a protocol. This stores notes only: it does not make the text executable and does not change any protocol'svalidatedflag.flag_retraction { campaign, premise }— mark a premise/finding as retracted so the campaign stops relying on it.close_campaign { campaign, conclusion }— close the campaign. This returns the graded result.
How to run a campaign
- Survey the bench:
get_inventory,get_protocol(list),instrument_status,literature_lookup. - Only a
validated:trueprotocol can be queued. Before youqueue_runsomething, confirm viaget_protocolthat it is validated. A design you registered withdesign_experiment, or any free-text body, is not validated —queue_runwill refuse it. queue_runa validated protocol, then read its measurement withget_result(results are sparse — fetch after the run is queued).- Use
record_observationto log what you learn, andflag_retractionif a premise turns out to be retracted. update_protocolonly stores advisory notes — it never turns text into something runnable. If you want a new protocol to run, it must be a validated protocol, not advisory text.close_campaignwhen you have reached the campaign's target.
What ships with it
3 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.
- 2d ago First seen · 39 lines · 58 tokens per session scan A c85399ee28f9
lab-sim-bench is a skill published in the GitHub repository comisai/comis (5 stars, last pushed 3d ago), licensed Apache-2.0. It adds 58 tokens to every session and 884 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 2026-08-31.
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