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 emergent-wisdom/sema --skill sema-uigit clone --depth 1 https://github.com/emergent-wisdom/semaWrote 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/emergent-wisdom/sema/sema-ui)<a href="https://agentmods.dev/skills/emergent-wisdom/sema/sema-ui"><img src="https://agentmods.dev/badge/skills/emergent-wisdom/sema/sema-ui/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/emergent-wisdom/sema/sema-ui"><img src="https://agentmods.dev/badge/skills/emergent-wisdom/sema/sema-ui.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 | $0.00057 | $0.00334 |
| Opus 5 | $0.00028 | $0.00167 |
| Sonnet 5 | $0.00011 | $0.00067 |
| Haiku 4.5 | $0.00006 | $0.00033 |
Grade A, and why
sema-ui 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
Sema UI
Launch the local Sema interface at http://localhost:3030.
lsof -ti:3030 | xargs kill 2>/dev/null
sema serve --port 3030 &
Then tell the user: Open http://localhost:3030
What's in the UI
- Pattern browser with semantic search, layer/category filters
- 3D graph at
/graphshowing pattern relationships - Documentation at
/docs - Database switcher in the top bar — flip between bundled vocabulary, project DBs, and any DB registered via
sema use - Live refresh every 5 seconds when running locally — new patterns appear in the graph as they're minted
Remind the user about DB selection
After launching, remind the user: "The active database is shown in the top bar — click it to switch between the bundled vocabulary and any project DBs you've built."
This matters because the user might mint patterns into the wrong DB if they don't realize which one is active.
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 · 39 lines · 57 tokens per session scan A 2edba2e9b290
sema-ui is a skill published in the GitHub repository emergent-wisdom/sema (13 stars, last pushed 2d ago), licensed MIT. It adds 57 tokens to every session and 334 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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