HTML Feature Mocks
imbue-ai/bouncer
Explores a feature idea through HTML mocks that match the project's existing UI, keeping every earlier version and logging each requested tweak in a context file.
Judge product usability and evidence quality. An agent skill from aryaniyaps/lamina.
Install Lamina Evaluation
$ npx skills add aryaniyaps/lamina --skill lamina-evaluation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aryaniyaps/lamina lamina-evaluation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/aryaniyaps/lamina.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/lamina-evaluation .claude/skills/lamina-evaluation && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "lamina-evaluation" agent skill from https://github.com/aryaniyaps/lamina/tree/main/skills/lamina-evaluation into .claude/skills/lamina-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lamina-evaluation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aryaniyaps/lamina/tree/main/skills/lamina-evaluationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aryaniyaps/lamina --skill lamina-evaluation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aryaniyaps/lamina lamina-evaluation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aryaniyaps/lamina.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/lamina-evaluation .agents/skills/lamina-evaluation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lamina-evaluation" agent skill from https://github.com/aryaniyaps/lamina/tree/main/skills/lamina-evaluation into .agents/skills/lamina-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lamina-evaluation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aryaniyaps/lamina --skill lamina-evaluation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aryaniyaps/lamina lamina-evaluation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aryaniyaps/lamina.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/lamina-evaluation .cursor/skills/lamina-evaluation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "lamina-evaluation" agent skill from https://github.com/aryaniyaps/lamina/tree/main/skills/lamina-evaluation into .cursor/skills/lamina-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lamina-evaluation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aryaniyaps/lamina.git --path skills/lamina-evaluation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aryaniyaps/lamina --skill lamina-evaluation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aryaniyaps/lamina lamina-evaluation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aryaniyaps/lamina.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/lamina-evaluation .gemini/skills/lamina-evaluation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "lamina-evaluation" agent skill from https://github.com/aryaniyaps/lamina/tree/main/skills/lamina-evaluation into .gemini/skills/lamina-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lamina-evaluation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aryaniyaps/lamina lamina-evaluationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aryaniyaps/lamina --skill lamina-evaluation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aryaniyaps/lamina.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/lamina-evaluation .github/skills/lamina-evaluation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "lamina-evaluation" agent skill from https://github.com/aryaniyaps/lamina/tree/main/skills/lamina-evaluation into .github/skills/lamina-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lamina-evaluation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aryaniyaps/lamina --skill lamina-evaluation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aryaniyaps/lamina lamina-evaluation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aryaniyaps/lamina.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/lamina-evaluation .opencode/skills/lamina-evaluation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "lamina-evaluation" agent skill from https://github.com/aryaniyaps/lamina/tree/main/skills/lamina-evaluation into .opencode/skills/lamina-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lamina-evaluation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
lamina-evaluation- GitHub stars
- 116
- Token cost
- ~432 tokens
- SKILL.md length
- 161 words
- Files
- 4 (incl. references)
- Skills in repo
- 10
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Judge product usability and evidence quality. An agent skill from aryaniyaps/lamina.
- Works in 3 steps: Match the request's primary evaluation… → Open that linked reference before… → Start the response with Using…
- Running Persona-based walkthroughs on a built product
- SKILL.md covers Reference-loading protocol, Topic index and Working rule
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Lamina Evaluation is an agent skill from aryaniyaps/lamina. Judge product usability and evidence quality. Use when running Persona-based walkthroughs on a built product, planning an expert heuristic review, defining evidence-backed success metrics, or checking quantitative claims without inventing measurements. Use lamina-research to plan or synthesize evidence collection and lamina-ux to design interaction behavior.
Its SKILL.md is about 430 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/heuristic-review.md`, `references/quantitative-validation.md` and `references/usability-evaluation.md`).
It sits in Frontend & Design, covering UX design, Product metrics and Digital forensics. The repository describes itself as: Headless product design for AI coding agents, backed by a transactional product graph | Design how it works, verify what you ship. The licence is Apache-2.0.
When your agent uses it
- Running Persona-based walkthroughs on a built product
- Planning an expert heuristic review
- Defining evidence-backed success metrics
- Checking quantitative claims without inventing measurements
Example prompts
- “/lamina-evaluation”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Match the request's primary evaluation method to one row below.
- Open that linked reference before answering. Add another only when a second
- Start the response with Using lamina-evaluation: so the
What it can do on your machine
Read from SKILL.md and the folder at commit af269ef. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Lamina Evaluation loads about 432 tokens when it runs, and up to ~1k if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 161 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from aryaniyaps/lamina at commit af269ef, republished under its Apache-2.0 licence (© aryaniyaps). 161 words, ~432 tokens.
Download SKILL.mdSave it as
.claude/skills/lamina-evaluation/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- lamina-evaluation
- description
- Judge product usability and evidence quality. Use when running Persona-based walkthroughs on a built product, planning an expert heuristic review, defining evidence-backed success metrics, or checking quantitative claims without inventing measurements. Use lamina-research to plan or synthesize evidence collection and lamina-ux to design interaction behavior.
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.
© aryaniyaps, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (references) in skills/lamina-evaluation of aryaniyaps/lamina.
- SKILL.md
- references/heuristic-review.md
- references/quantitative-validation.md
- references/usability-evaluation.md
Open the folder on GitHubat commit af269ef
Compare with similar skills
Lamina Evaluation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Lamina Evaluation this skillaryaniyaps/lamina | 116 | — | ~432 | Automated safety check: Pass | Apache-2.0 | |
| HTML Feature Mocksimbue-ai/bouncer | 400 | — | ~677 | Automated safety check: Pass | AGPL-3.0 | |
| LobeHub UX Checklistslobehub/lobehub | 83k | — | ~2.6k | Automated safety check: Pass | Custom licence | |
| Product Skillsalirezarezvani/claude-skills | 28k | — | ~2.6k | Automated safety check: Pass | MIT | |
| Identify Assumptions Existingphuryn/pm-skills | 27k | — | ~525 | Automated safety check: Pass | MIT | |
| Nova Act UsabilityLeoYeAI/openclaw-master-skills | 2.2k | — | ~7.4k | Automated safety check: Pass | MIT |
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Related
Questions about Lamina Evaluation
What does Lamina Evaluation do?
Judge product usability and evidence quality. An agent skill from aryaniyaps/lamina. Lamina Evaluation is an agent skill from aryaniyaps/lamina. Judge product usability and evidence quality.
When should I use Lamina Evaluation?
Lamina Evaluation fits situations like: running Persona-based walkthroughs on a built product; planning an expert heuristic review; defining evidence-backed success metrics; checking quantitative claims without inventing measurements.
How do I install Lamina Evaluation in Claude Code?
Run `npx skills add aryaniyaps/lamina --skill lamina-evaluation -a claude-code`. Or copy the skill folder (skills/lamina-evaluation in aryaniyaps/lamina) into .claude/skills/lamina-evaluation in your project. Claude Code loads it when a task matches its description.
How do I install Lamina Evaluation in Codex?
Run `npx skills add aryaniyaps/lamina --skill lamina-evaluation -a codex`. Or copy the skill folder (skills/lamina-evaluation in aryaniyaps/lamina) into .agents/skills/lamina-evaluation in your project. Codex loads it when a task matches its description.
Can I use Lamina Evaluation in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aryaniyaps/lamina --skill lamina-evaluation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lamina-evaluation, .gemini/skills/lamina-evaluation, .github/skills/lamina-evaluation and .opencode/skills/lamina-evaluation in your project.
What does Lamina Evaluation need to run?
SKILL.md names no scripts, command-line tools or credentials: Lamina Evaluation is instructions for the agent only.
Does Lamina Evaluation access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Lamina Evaluation safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Lamina Evaluation use?
Lamina Evaluation is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Lamina Evaluation use?
About 432 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 612 tokens, read only when the agent opens those files.
What are the alternatives to Lamina Evaluation?
Skills that share tags, products or a category with Lamina Evaluation: HTML Feature Mocks (imbue-ai/bouncer, 400 stars), LobeHub UX Checklists (lobehub/lobehub, 83k stars), Product Skills (alirezarezvani/claude-skills, 28k stars) and Identify Assumptions Existing (phuryn/pm-skills, 27k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Lamina Evaluation?
aryaniyaps (a GitHub user) maintains it in aryaniyaps/lamina, which has 116 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 1, 2026.
Source: aryaniyaps/lamina on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.