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 kumaran-is/claude-code-onboarding --skill ai-chatgit clone --depth 1 https://github.com/kumaran-is/claude-code-onboardingWrote 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/kumaran-is/claude-code-onboarding/ai-chat)<a href="https://agentmods.dev/skills/kumaran-is/claude-code-onboarding/ai-chat"><img src="https://agentmods.dev/badge/skills/kumaran-is/claude-code-onboarding/ai-chat/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/kumaran-is/claude-code-onboarding/ai-chat"><img src="https://agentmods.dev/badge/skills/kumaran-is/claude-code-onboarding/ai-chat.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 | $0.00084 | $0.01455 |
| Opus 5.5 | $0.00034 | $0.00582 |
| Sonnet 5.5 | $0.00017 | $0.00291 |
| Haiku 4.5 | $0.00008 | $0.00145 |
Grade A, and why
ai-chat 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 2mo 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Iron Law: Load this skill before building any chat interface; never hardcode streaming or message formats without verifying against the skill's patterns.
AI Chat Interface Skill
Tech Stack: Angular 21.x (signals, daisyUI, TailwindCSS) | Flutter 3.41.x (Riverpod, Dart 3.10.9)
When to Activate
Load this skill when the task involves any of:
- Streaming LLM response rendering (SSE / chunked HTTP)
- Chat message list with assistant/user bubbles
- Token context window indicators
- Regenerate / stop generation controls
- Thumbs up/down feedback collection
- Multi-modal input (file/image attachment in a chat box)
- AI-specific error states (refusal, rate limit, context exceeded)
- Tool call visualization in the message thread
Pre-Code Checklist
Before writing any component:
- Angular: Read
angular-spaskill — verify signal/OnPush/daisyUI baseline - Flutter: Read
flutter-mobileskill — verify Riverpod/AppSpacing/colorScheme baseline - Docs: Use
Context7MCP for any library not confirmed in this session (e.g.,marked,flutter_markdown)
Core Component Overview
| Component | Angular | Flutter |
|---|---|---|
| Message bubble list | ChatMessageListComponent |
ChatMessageList widget |
| Streaming message display | StreamingMessageComponent |
StreamedMessageWidget |
| Token context indicator | TokenIndicatorComponent |
TokenIndicatorWidget |
| Chat input (multi-modal) | ChatInputComponent |
ChatInputWidget |
| Feedback bar | FeedbackComponent |
FeedbackBar widget |
| AI error display | AiErrorComponent |
AiErrorWidget |
| Tool call visualization | ToolCallCardComponent |
ToolCallCard widget |
Quick Start
See reference/quick-start.md for entry-point wiring (Angular ChatComponent + Flutter ChatScreen).
Key Patterns (brief — details in reference files)
Streaming (Angular)
- Use
AbortControllerto cancel in-flight SSE streams - Auto-scroll: scroll only when user is within 100px of bottom
computed()signal to derive rendered markdown — prevents re-parsing on every chunkaria-live="polite"wraps the message list
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 121 lines · 84 tokens per session scan A 9e05b0ed2f09
ai-chat is a skill published in the GitHub repository kumaran-is/claude-code-onboarding (36 stars, last pushed 4mo ago), licensed MIT. It adds 84 tokens to every session and 1,455 once invoked, about $0.0003 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 2026-09-03.
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