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 Cai-aa/CAE-Agent-Hub --skill ovito-evidence-postprocessinggit clone --depth 1 https://github.com/Cai-aa/CAE-Agent-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/cai-aa/cae-agent-hub/ovito-evidence-postprocessing)<a href="https://agentmods.dev/skills/cai-aa/cae-agent-hub/ovito-evidence-postprocessing"><img src="https://agentmods.dev/badge/skills/cai-aa/cae-agent-hub/ovito-evidence-postprocessing.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00084 | $0.00385 |
| Opus 5 | $0.00042 | $0.00192 |
| Sonnet 5 | $0.00017 | $0.00077 |
| Haiku 4.5 | $0.00008 | $0.00038 |
Grade A, and why
ovito-evidence-postprocessing 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 8d 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.
What it actually says
OVITO Evidence Postprocessing
OVITO explains and renders atomistic data; it does not prove that the upstream simulation was physically correct.
Start
ai-cae-toolbox context-scope --solver ovito
ai-cae-toolbox bridge-plan --solver ovito --objective "<objective>"
ai-cae-toolbox create-run --solver ovito --case <case-name> --objective "<objective>"
ai-cae-toolbox write-smoke-template --solver ovito --run-dir <run-dir>
Use ovito_check_installation before scripting. OVITO Basic may include
ovito.exe but not ovitos; configure a compatible external Python with the
OVITO package when batch scripting is required.
Build the Pipeline
Record input trajectory, frame range, particle properties, modifiers and their parameters, selection/deletion rules, color mapping, clipping plane, camera, render size, background, and export interval.
For strain or defect visualizations, record the reference configuration, neighbor cutoff, crystal structure, and modifier assumptions. Read references/render-evidence.md.
Finish
Export the pipeline script, PNG/MP4, numeric table when available, and a short caption defining every color and scalar range. State whether the output came from OVITO, a compatible Python implementation, or another plotting library. Never label a substitute plot as native OVITO output.
What ships with it
2 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.
- 8d ago First seen · 40 lines · 84 tokens per session scan A cdf03169d6fe
ovito-evidence-postprocessing is a skill published in the GitHub repository Cai-aa/CAE-Agent-Hub (852 stars, last pushed yesterday), licensed MIT. It adds 84 tokens to every session and 385 once invoked, about $0.0004 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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