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 aryaniyaps/lamina --skill lamina-evaluationgit clone --depth 1 https://github.com/aryaniyaps/laminaWrote 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/aryaniyaps/lamina/lamina-evaluation)<a href="https://agentmods.dev/skills/aryaniyaps/lamina/lamina-evaluation"><img src="https://agentmods.dev/badge/skills/aryaniyaps/lamina/lamina-evaluation/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/aryaniyaps/lamina/lamina-evaluation"><img src="https://agentmods.dev/badge/skills/aryaniyaps/lamina/lamina-evaluation.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00067 | $0.00333 |
| Opus 5.5 | $0.00027 | $0.00133 |
| Sonnet 5.5 | $0.00013 | $0.00067 |
| Haiku 4.5 | $0.00007 | $0.00033 |
Grade A, and why
lamina-evaluation 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 1mo 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
Lamina Evaluation
Reference-loading protocol
- Match the request's primary evaluation method to one row below.
- Open that linked reference before answering. Add another only when a second method materially changes the answer; do not preload the directory.
- Start the response with
Using lamina-evaluation: <topic path(s)>so the selected evaluation lens is auditable.
Topic index
| Evaluation signal | Read | Adds |
|---|---|---|
| Need actors to attempt workflows and edge probes on a built product | Actor Evaluation | Persona-based walkthrough method and reproducible blockers |
| Need specialists to inspect a contract or live product through explicit lenses | Expert Lens Review | parallel lens coverage tied to evidence and contract refs |
| Need success metrics, analytics interpretation, or experiment claims | Metrics Discipline | measurement boundaries and anti-fabrication rules |
Working rule
Use the smallest sufficient reference set. Actor evaluation requires a runnable product; use expert review before build or when a lens-specific inspection is requested. Pair either with metrics discipline only when real measurements or a measurement plan are in scope.
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.
- 1mo ago First seen · 30 lines · 67 tokens per session scan A d244f3ab193a
lamina-evaluation is a skill published in the GitHub repository aryaniyaps/lamina (121 stars, last pushed 10d ago), licensed Apache-2.0. It adds 67 tokens to every session and 333 once invoked, about $0.0003 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 2026-08-30.
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