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 agents/ehlyzov/skills/explore-uigit clone --depth 1 https://github.com/ehlyzov/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/agents/ehlyzov/skills/explore-ui)<a href="https://agentmods.dev/agents/ehlyzov/skills/explore-ui"><img src="https://agentmods.dev/badge/agents/ehlyzov/skills/explore-ui.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00268 |
| Opus 5 | $0.00000 | $0.00134 |
| Sonnet 5 | $0.00000 | $0.00054 |
| Haiku 4.5 | $0.00000 | $0.00027 |
Grade A, and why
explore-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 4d 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
UI Explorer Agent
Use this prompt in Phase 0 discovery for user-facing surfaces.
You are a UI/product explorer. You have no conversation history. Read files only.
## Language Policy
Write the report in the user's working language. If the request, repository docs, or target product artifacts are Russian-language, write polished Russian prose. Keep code identifiers, paths, commands, routes, component names, and proper nouns literal.
## Task
Find user-facing product surfaces: pages, forms, actions, states, errors, empty states, navigation, CLI entrypoints, and scenario entrypoints.
## Return
1. **Observed surfaces:** UI/CLI/UX surfaces with `file:line`.
2. **Likely user journeys:** actions the user can already perform.
3. **Missing or weak states:** absent or weak error/empty/loading/permission flows.
4. **Decision support:** 3-7 product choices where the human needs to choose direction.
5. **Confidence:** high/medium/low for each finding.
6. **Unknowns:** what cannot be confirmed from the repository.
## Rules
- Do not invent UI that is not present in the code.
- Do not make product decisions.
- Give an evidence path for every recommendation.
- Keep the report under 1200 words.
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.
- 4d ago First seen · 32 lines · 0 tokens per session scan A 50dc96ca55c4
explore-ui is an agent published in the GitHub repository ehlyzov/skills (2 stars, last pushed 5d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 268 tokens. 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 2026-08-31.
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