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 Cognigy/cognigy-plugin --skill webchat-setupgit clone --depth 1 https://github.com/Cognigy/cognigy-pluginWrote 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/cognigy/cognigy-plugin/webchat-setup)<a href="https://agentmods.dev/skills/cognigy/cognigy-plugin/webchat-setup"><img src="https://agentmods.dev/badge/skills/cognigy/cognigy-plugin/webchat-setup/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/cognigy/cognigy-plugin/webchat-setup"><img src="https://agentmods.dev/badge/skills/cognigy/cognigy-plugin/webchat-setup.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 | $0.00041 | $0.03578 |
| Opus 5.5 | $0.00016 | $0.01431 |
| Sonnet 5.5 | $0.00008 | $0.00716 |
| Haiku 4.5 | $0.00004 | $0.00358 |
Grade A, and why
webchat-setup 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 14d 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 — 328 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Webchat v3 Setup Guide
What is Webchat v3?
Webchat v3 is Cognigy's embeddable chat widget for websites. It connects to a Webchat v3 Endpoint, which links a Flow to the widget and holds all appearance/behavior configuration.
Quick Start — Minimal Webchat
- Ensure an agent + flow exist: create_ai_agent { name: "My Agent" }
- Create a webchat endpoint: manage_webchat { projectId: "...", flowId: "...", name: "My Webchat" }
- The response includes demoWebchatUrl — open it in a browser to test immediately.
- Always show demoWebchatUrl to the user by default. Only provide configUrl/embeddingSnippet when asked about embedding or production deployment.
Quick Start — Update Existing Webchat
manage_webchat { endpointId: "...", layout: { colors: { primaryColor: "#0052cc" } }, behavior: { renderMarkdown: true } }
CREATE vs UPDATE:
- To create: omit endpointId and provide projectId + flowId. A new webchat3 endpoint is always created.
- To update: provide endpointId. Only the specified fields are changed; everything else is preserved.
- The tool never auto-detects or modifies existing endpoints. To update, first find the endpointId using list_resources { resourceType: "endpoint", projectId }.
Style Presets
Use stylePreset to apply a predefined look in one call:
manage_webchat { endpointId: "...", stylePreset: "modern" }
classic (default)
- Chat window: 460px, bot output max-width: 73%, bot output border: on
- Agent message bg: #ffffff, always scroll, no streaming collation, no progressive rendering, markdown on
modern
- Chat window: 900px, bot output max-width: 100%, bot output border: off
- Agent message bg: #ffffff, scroll to last input, streaming collation on, progressive rendering on, markdown on, input collation on
slick
- Chat window: 600px, bot output max-width: 100%, bot output border: off
- Agent message bg: #cccccc, scroll to last input, streaming collation on, progressive rendering off, markdown on, input collation on
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.
- 14d ago Changed 463427d313dd
- 2mo ago First seen · 328 lines · 41 tokens per session scan A 2b62f2b9d6c1
webchat-setup is a skill published in the GitHub repository Cognigy/cognigy-plugin (18 stars, last pushed yesterday), licensed MIT. It adds 41 tokens to every session and 3,578 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 2026-08-31.
webchat-setup compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| webchat-setupCognigy/cognigy-plugin | Skill | 18 | yesterday | MIT | A | 41 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |