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 agentmods add skills/glebis/humane-agentic-design/prototypenpx skills add glebis/humane-agentic-design --skill prototypegit clone --depth 1 https://github.com/glebis/humane-agentic-designWhat 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 | $0.00108 | $0.02192 |
| Opus 5 | $0.00054 | $0.01096 |
| Sonnet 5 | $0.00022 | $0.00438 |
| Haiku 4.5 | $0.00011 | $0.00219 |
Grade A, and why
prototype 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 2d 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prototype
Announce at start: "I'm using the humane:prototype skill to make this idea lookable and clickable at the cheapest fidelity that answers the question."
A prototype exists to answer exactly one open question — is this the right structure, does the navigation make sense, does the screen read at a glance — before anything expensive is committed. This skill produces the cheapest artifact that answers that question and stops.
Quick Reference
| Need | Where |
|---|---|
| Format contracts per rung: file layout, hotspot markup, self-containment, the SVG text traps | references/formats.md |
| Where the output file goes | setup/references/paths.md — setup owns the path table |
| The editable design-file exit: availability, style archetypes, the active-document pre-flight | references/design-file.md |
The one question
Every prototype names, before anything is drawn, the single question it will answer. A broad request ("mock up the app") contains several candidate questions — extract them, and ask the user to pick one; a prototype chasing two questions answers neither. Record the chosen question in the artifact's notes block (see Output).
The question is settled only by the user saying so, or by a named
reviewer's output — a respondent-panel read, a walkthrough result. The
maker's own impression that a structure "looks right" settles nothing; this
skill never reviews its own output, and it does not certify its own handoffs
either. Until the question is settled, it stays open, and escalation waits.
Where it sits
The home case is greenfield: after jtbd, before design-tokens. The corpus
says what job the interface serves; the prototype proposes a structure for it;
only a structure that survives being looked at or clicked through deserves a
token set.
jtbd is preferred, not required. Entered directly, with no corpus: offer to
run jtbd first, and if the user declines, proceed — with "no corpus;
structure is a guess" stated in the artifact's notes block.
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.
- 2d ago First seen · 181 lines · 108 tokens per session scan A 1eebe5ef8f45
prototype is a skill published in the GitHub repository glebis/humane-agentic-design (27 stars, last pushed 23d ago), licensed MIT. It adds 108 tokens to every session and 2,192 once invoked, about $0.0005 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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