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 markoblogo/abvx-agent-skills --skill prototype-labgit clone --depth 1 https://github.com/markoblogo/abvx-agent-skillsWrote 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/markoblogo/abvx-agent-skills/prototype-lab)<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/prototype-lab"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/prototype-lab/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/markoblogo/abvx-agent-skills/prototype-lab"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/prototype-lab.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00065 | $0.00401 |
| Opus 5 | $0.00032 | $0.00200 |
| Sonnet 5 | $0.00013 | $0.00080 |
| Haiku 4.5 | $0.00006 | $0.00040 |
Grade A, and why
prototype-lab 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 9d 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
Prototype Lab
A prototype answers one question. It is not production code with fewer tests.
Pick The Prototype Question
Choose the branch:
- Logic prototype: state model, workflow, parser, scoring, queue, rules, or business logic.
- UI prototype: layout direction, interaction model, variants, motion, or product feel.
- Integration prototype: unknown API/tool behavior, deployment constraint, or browser capability.
If ambiguous, state the assumption and keep the artifact easy to delete.
Rules
- Mark it as prototype/throwaway in path, UI, comments, or README.
- Use one command to run.
- Keep state in memory unless persistence is the thing being tested.
- Avoid broad abstractions, production plumbing, and hidden dependencies.
- Surface state after actions so learning is visible.
- Do not leave prototype code mixed with production code without a decision.
UI Variant Pattern
When exploring design, create 2-4 meaningfully different variants. Let the user switch via route, query param, segmented control, or small debug toolbar. Do not make tiny color-only variations.
Logic Pattern
When exploring state, make a terminal or local web harness that can run scripted cases and manual interactions. Print current state, event, output, and invariant violations.
Closeout
When the prototype answers the question:
- capture the decision in an issue, ADR, notes file, commit message, or final report;
- delete the prototype or identify exactly what will be absorbed into production;
- list what remains unproven.
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.
- 9d ago First seen · 48 lines · 65 tokens per session scan A f15147fd35a8
prototype-lab is a skill published in the GitHub repository markoblogo/abvx-agent-skills (16 stars, last pushed yesterday), licensed MIT. It adds 65 tokens to every session and 401 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 2026-09-03.
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