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 simra-tech/OpenADA --skill assess-pvt-and-yieldgit clone --depth 1 https://github.com/simra-tech/OpenADAWrote 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/simra-tech/openada/assess-pvt-and-yield)<a href="https://agentmods.dev/skills/simra-tech/openada/assess-pvt-and-yield"><img src="https://agentmods.dev/badge/skills/simra-tech/openada/assess-pvt-and-yield.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 | $0.00086 | $0.01532 |
| Opus 5 | $0.00043 | $0.00766 |
| Sonnet 5 | $0.00017 | $0.00306 |
| Haiku 4.5 | $0.00009 | $0.00153 |
Grade A, and why
assess-pvt-and-yield 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.
How it starts
The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Assess PVT and Yield
Compose repeated atomic OpenADA assertions into an auditable campaign. Do not
turn a workflow summary into a new EDA truth source. Use $openada:openada for
capability discovery, invocation, and normalized result interpretation.
Preserve the contract ladder
For every planned point, use:
openada.operation/circuit.simulate/v1alpha2withopenada.assertion/simulation.evidence.valid/v1alpha1for each requested analysis;openada.operation/result.series.extract/v1alpha1withopenada.assertion/series.extraction.valid/v1alpha1whenever a required scalar starts in a native waveform artifact;- the smallest installed result operation: ordinary
openada.operation/result.measure/v1alpha2withopenada.assertion/measurement.valid/v1alpha1, coherent spectralopenada.operation/result.spectral.measure/v1alpha1withopenada.assertion/spectral.measurement.valid/v1alpha1, or AC transferopenada.operation/result.transfer.measure/v1alpha2withopenada.assertion/transfer.measurement.valid/v1alpha1; and openada.operation/specification.evaluate/v1alpha1withopenada.assertion/specification.satisfied/v1alpha1for each explicit metric limit.
Inspect the installed schemas and capabilities first. Do not invent a campaign, Monte Carlo, result-operation, or statistical feature ID. If a required primitive is unavailable, preserve the affected planned points as not evaluated/unknown and report the capability gap. Do not run raw backend commands and call their outputs OpenADA evidence.
Distinguish campaign types
- Deterministic matrix: an explicit Cartesian or curated set of process, model, voltage, temperature, load, mode, or other declared conditions.
- Parameter sweep: ordered values of one or more declared variables; record whether values form a Cartesian product or paired trajectory.
- Statistical ensemble: samples drawn under an explicit variation model, seed policy, sample count, and mapping from sample ID to generated conditions.
- Yield assessment: specification outcomes over the complete frozen point set. It is not synonymous with simulation completion or result-operation validity.
What ships with it
1 file 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 · 161 lines · 86 tokens per session scan A e3144baf7d50
assess-pvt-and-yield is a skill published in the GitHub repository simra-tech/OpenADA (25 stars, last pushed 26d ago), licensed MIT. It adds 86 tokens to every session and 1,532 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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