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 open-mercato/skills --skill om-ux-shapegit clone --depth 1 https://github.com/open-mercato/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/open-mercato/skills/om-ux-shape)<a href="https://agentmods.dev/skills/open-mercato/skills/om-ux-shape"><img src="https://agentmods.dev/badge/skills/open-mercato/skills/om-ux-shape/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/open-mercato/skills/om-ux-shape"><img src="https://agentmods.dev/badge/skills/open-mercato/skills/om-ux-shape.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00061 | $0.01768 |
| Opus 5 | $0.00030 | $0.00884 |
| Sonnet 5 | $0.00012 | $0.00354 |
| Haiku 4.5 | $0.00006 | $0.00177 |
Grade A, and why
om-ux-shape 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 today.
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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shape Useful Features
Turn ambiguity into a clear product decision before turning it into screens. Connect user value, business value, interaction quality, AI behavior, delivery constraints, and evidence in one lightweight process.
Input — a feature idea, an existing concept or product area, or a decided
direction that needs implementation detail.
Output — one filled shape from references/report-templates.md.
Choose the mode
- Shape for a vague opportunity, request, or feature idea. The default.
- Review for an existing concept, flow, design, prototype, or product area
(including a whole module handed over by
om-ux-review-pr). - Handoff when the direction is decided and implementation-ready behavior is what is missing.
Combine modes only when the request genuinely spans them, and never make a small task carry the full process.
Who reads the result
Establish this before writing, because it decides how concrete the output must be. Ask when it is unclear, otherwise default to the least-context reader: someone who will build or draw this, does not know the design system, and was not in the conversation. Write for them. A senior designer can skim a concrete answer; nobody can build an abstract one.
Required reading
These are not optional background. When the condition is met, load the reference before finishing the step: skipping it produces the failure this skill exists to prevent, an answer that sounds reasonable and decides nothing.
| Condition | Load |
|---|---|
| Shape or Review mode | references/decision-framework.md |
| AI is proposed, implied, or already present | references/ai-interaction.md, then references/hai-guidelines.md and references/reward-and-mental-models.md for whatever passed the gate |
| Outcomes or validation metrics are being defined | references/human-value-metrics.md |
| Before writing any result | references/report-templates.md |
| Before delivering any result | references/quality-rubric.md |
What ships with it
12 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.
- agents/openai.yaml 246 B
- references/agentic-setup.md 2.1 KB
- references/ai-interaction.md 5.7 KB
- references/decision-framework.md 4.1 KB
- references/evidence-tiers.md 1.2 KB
- references/foundations.md 2.3 KB
- references/hai-guidelines.md 2.6 KB
- references/human-value-metrics.md 2.2 KB
- references/quality-rubric.md 2.8 KB
- references/report-templates.md 6.0 KB
- references/reward-and-mental-models.md 2.4 KB
- references/rules.md 4.6 KB
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.
- today Changed 2b3fadac74c4
- 10d ago First seen · 154 lines · 61 tokens per session scan A f3f6e2eff316
om-ux-shape is a skill published in the GitHub repository open-mercato/skills (146 stars, last pushed today), licensed MIT. It adds 61 tokens to every session and 1,768 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 2026-08-30.
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