Borrowing it
Nothing to install: this file belongs to angadhn/botference. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/angadhn/botference/main/.agents/skills/see-ui/SKILL.mdgit clone --depth 1 https://github.com/angadhn/botferenceWrote 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/angadhn/botference/see-ui)<a href="https://agentmods.dev/skills/angadhn/botference/see-ui"><img src="https://agentmods.dev/badge/skills/angadhn/botference/see-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/angadhn/botference/see-ui"><img src="https://agentmods.dev/badge/skills/angadhn/botference/see-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 | $0.00059 | $0.00944 |
| Opus 5.5 | $0.00024 | $0.00378 |
| Sonnet 5.5 | $0.00012 | $0.00189 |
| Haiku 4.5 | $0.00006 | $0.00094 |
Grade A, and why
see-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 1mo 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
see-ui — look at the page before you say it's done
Layout and design failures are invisible to your normal loop: the DOM is valid, the CSS applied, the console silent — and the page is still broken to a human eye (a chart squashed into 5% of its width renders "successfully"). Code and logs cannot catch "technically correct but looks wrong". Pixels can, and you can read pixels.
The command
botference see <target> [label] [--viewport WxH]... [--basic-auth U:P] [--out DIR]
<target>: a URL, a bare:port(localhost), a local file path (HTML, SVG — rendered via file://, no server needed: the way to verify charts, reports, and mockups you just wrote), or the NAME of a runningbotference service— its listening port is discovered from the live process, you never need to know it.- Never hand-roll rendering via ImageMagick/qlmanage/rsvg to check a
chart — their SVG engines have artifacts Chrome does not;
seeis the trustworthy lane and works from your sandbox. - Default viewports:
390x844(phone — real mobile layout, since responsive CSS answers to viewport width) and1440x900(desktop). - It prints
wrote: <path>.pnglines. Read those images. That is the entire point — do not run the command and skip looking. - Output defaults to
.botference/shots/(gitignored by convention).
Protocol
- After ANY change that affects rendered UI, screenshot both default viewports and look at them before reporting the change as done.
- When a human reports something "looks wrong/bad/off", screenshot
FIRST, at the viewport they used (phone screenshots →
390x844), and compare with what they see. Do not reason about CSS from source alone. - If the app has a login form, your screenshot will show only the
gate. Fix that properly: let bare-localhost requests through
unauthenticated (the review engine's rule — anyone on the loopback
port already owns the machine).
--basic-authhelps only for HTTP basic auth, not form gates. - Charts and figures: vision discovers a failure class once — then lock it out forever with a deterministic test on the generated SVG/scales, no browser needed. Assert data coverage (observed data spans ≥ ~half the x-range; projections must not compress history), containment (points inside the plot area, y-domain spans the data, no NaN coordinates), and legibility (labels don't collide, sane tick counts, markers above minimum visible size). Every visual chart fix ships with the invariant test that would have failed on the bad render.
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.
- 1mo ago First seen · 75 lines · 59 tokens per session scan A f1b1ce8dec99
see-ui is a skill published in the GitHub repository angadhn/botference (20 stars, last pushed today), licensed MIT. It adds 59 tokens to every session and 944 once invoked, about $0.0002 per session on Opus 5.5. 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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