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 jonny-1812/corebee-mcp-skills --skill widget-customizergit clone --depth 1 https://github.com/jonny-1812/corebee-mcp-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/skills/jonny-1812/corebee-mcp-skills/widget-customizer)<a href="https://agentmods.dev/skills/jonny-1812/corebee-mcp-skills/widget-customizer"><img src="https://agentmods.dev/badge/skills/jonny-1812/corebee-mcp-skills/widget-customizer/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/jonny-1812/corebee-mcp-skills/widget-customizer"><img src="https://agentmods.dev/badge/skills/jonny-1812/corebee-mcp-skills/widget-customizer.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00064 | $0.01435 |
| Opus 5 | $0.00032 | $0.00718 |
| Sonnet 5 | $0.00013 | $0.00287 |
| Haiku 4.5 | $0.00006 | $0.00144 |
Grade A, and why
widget-customizer 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.
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Widget Customizer
Configure the customer-facing chat widget through natural language commands.
Workflow Modes
1. Quick Change
- Fetch current settings using
get_widget_settings - Apply using the appropriate tool:
- Visual (color, logo, position, welcome text):
configure_widget_appearance - Behavioral (bot name, reply time, pre-chat form):
configure_widget_behavior - Mixed:
update_widget_settings
- Visual (color, logo, position, welcome text):
- Confirm by showing before vs after for modified fields only
2. Full Brand Setup
- Fetch current settings with
get_widget_settingsand org context withget_organization_settings - Walk through: color, bot name, welcome message, reply time, position, pre-chat form
- Apply all changes at once using
update_widget_settings - Show a complete summary of the final configuration
3. Review Current Settings
- Fetch settings using
get_widget_settings(optionallyget_organization_settingsfor context) - Present all settings in a clean summary format
Color Translation
When users say color names, convert to hex:
| Color | Hex | Color | Hex |
|---|---|---|---|
| Blue | #2563EB | Navy | #1E3A5F |
| Red | #DC2626 | Crimson | #B91C1C |
| Green | #16A34A | Forest | #15803D |
| Purple | #9333EA | Violet | #7C3AED |
| Teal | #0D9488 | Cyan | #06B6D4 |
| Orange | #EA580C | Amber | #D97706 |
| Pink | #EC4899 | Rose | #F43F5E |
| Black | #1F2937 | Slate | #475569 |
| Gray | #6B7280 | Indigo | #4F46E5 |
| Yellow | #EAB308 | Lime | #84CC16 |
| White | #FFFFFF | Coral | #F97316 |
If the user provides a hex code directly, use it as-is after validating the format.
Brand Preset Templates
Suggest these when the user says "match my brand" or asks for inspiration:
| Preset | Primary Color | Style |
|---|---|---|
| Professional | #1E3A5F (Navy) | Clean, corporate |
| Friendly | #2563EB (Blue) | Approachable, modern |
| Bold | #DC2626 (Red) | High energy, urgent |
| Nature | #16A34A (Green) | Calm, organic |
| Creative | #9333EA (Purple) | Innovative, playful |
| Warm | #EA580C (Orange) | Welcoming, energetic |
| Minimal | #1F2937 (Black) | Sleek, understated |
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 · 133 lines · 64 tokens per session scan A d94e37044399
widget-customizer is a skill published in the GitHub repository jonny-1812/corebee-mcp-skills (0 stars, last pushed 1mo ago), licensed MIT. It adds 64 tokens to every session and 1,435 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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