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 ZhixiangLuo/10xProductivity --skill discover-ui-surfacegit clone --depth 1 https://github.com/ZhixiangLuo/10xProductivityWrote 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/zhixiangluo/10xproductivity/discover-ui-surface)<a href="https://agentmods.dev/skills/zhixiangluo/10xproductivity/discover-ui-surface"><img src="https://agentmods.dev/badge/skills/zhixiangluo/10xproductivity/discover-ui-surface/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/zhixiangluo/10xproductivity/discover-ui-surface"><img src="https://agentmods.dev/badge/skills/zhixiangluo/10xproductivity/discover-ui-surface.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 | $0.00112 | $0.00250 |
| Opus 5 | $0.00056 | $0.00125 |
| Sonnet 5 | $0.00022 | $0.00050 |
| Haiku 4.5 | $0.00011 | $0.00025 |
Grade A, and why
discover-ui-surface 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 11d 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
Canonical:
workflows/discover-ui-surface/discover-ui-surface.md(in this repo). This file is a thin pointer for Claude Code skill discovery — load the canonical workflow doc for the full methodology, Agent Browser guide, modes, and theassets/observe_session.py+assets/har_to_map.pyscripts.
Read workflows/discover-ui-surface/discover-ui-surface.md and follow it. Companion guides:
- Agent Browser:
workflows/discover-ui-surface/agent-browser.md - Chrome DevTools Recorder:
workflows/discover-ui-surface/chrome-recorder.md
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.
- 11d ago First seen · 12 lines · 112 tokens per session scan A 324a9d5b8607
discover-ui-surface is a skill published in the GitHub repository ZhixiangLuo/10xProductivity (474 stars, last pushed 2mo ago), licensed MIT. It adds 112 tokens to every session and 250 once invoked, about $0.0006 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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