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 aboul3ata/lazyweb-skill --skill lazyweb-propose-ui-changesgit clone --depth 1 https://github.com/aboul3ata/lazyweb-skillWrote 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/aboul3ata/lazyweb-skill/lazyweb-propose-ui-changes)<a href="https://agentmods.dev/skills/aboul3ata/lazyweb-skill/lazyweb-propose-ui-changes"><img src="https://agentmods.dev/badge/skills/aboul3ata/lazyweb-skill/lazyweb-propose-ui-changes/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/aboul3ata/lazyweb-skill/lazyweb-propose-ui-changes"><img src="https://agentmods.dev/badge/skills/aboul3ata/lazyweb-skill/lazyweb-propose-ui-changes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Supply Chain · line 40 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
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 | $0.00150 | $0.01594 |
| Opus 5.5 | $0.00060 | $0.00638 |
| Sonnet 5.5 | $0.00030 | $0.00319 |
| Haiku 4.5 | $0.00015 | $0.00159 |
Grade C, and why
lazyweb-propose-ui-changes scanned grade C with 2 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
> of date — tell the user to update (`curl -fsSL https://www.lazyweb.com/install.sh | sh`) Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
> of date — tell the user to update (`curl -fsSL https://www.lazyweb.com/install.sh | sh`) How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lazyweb — Propose UI Changes
Propose changes against a structured diagram you build from the real code:
you supply the current diagram, annotate its elements, and supply a proposed
version; the user opens a lazyweb.com/proposal/<id>/ page, toggles Current ↔
Proposed to see before/after, and Accepts / Declines each suggestion; then
you apply the accepted ones.
This skill drives these Lazyweb MCP tools:
lazyweb_health— verify MCP connectivity when the surface is uncertain.lazyweb_propose_ui_changes— store a proposal (current + proposed + annotations), get a review URL.lazyweb_get_proposal_decision— poll the user's accept/decline verdicts.
Prerequisite: the Lazyweb MCP must be connected and current. If
lazyweb_propose_ui_changesisn't in the tool list, the skill pack/MCP is out of date — tell the user to update (curl -fsSL https://www.lazyweb.com/install.sh | sh) and restart their client.
MCP plan responses
Inspect every data-bearing tool result before applying its normal schema:
MCP_PRO_REQUIRED: relay the server message and returned intent-boundupgrade_urlto the user, then stop. Do not retry another data tool or fall back to web/manual output.FREE_REPORT_DAILY_LIMIT: relay the server message and returned intent-boundupgrade_urlto the user, then stop. Do not retry another data tool or fall back to web/manual output.- Successful
status: "locked_preview": relaydisplay_to_userverbatim (or the returned MCP text if that is all the client exposes), including the preview and upgrade links. It is terminal: do not poll, retry another data tool, reconstruct output, or fall back.
When to use
- The user wants to see and approve/reject a batch of changes before you make them.
- You want to explain how a system/flow works by annotating a diagram they can click.
- Changes span several places and a chat list would be hard to review.
When NOT to use
- A single trivial edit you can just make — don't ceremony it into a proposal.
- Pure design-from-screenshots work — use
lazyweb_generate_report/ the design skills.
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 · 132 lines · 150 tokens per session scan C a1ab1983d059
lazyweb-propose-ui-changes is a skill published in the GitHub repository aboul3ata/lazyweb-skill (455 stars, last pushed 26d ago), licensed MIT. It adds 150 tokens to every session and 1,594 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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