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 eddiebelaval/squire --skill chat-response-generatorgit clone --depth 1 https://github.com/eddiebelaval/squireWrote 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/eddiebelaval/squire/chat-response-generator)<a href="https://agentmods.dev/skills/eddiebelaval/squire/chat-response-generator"><img src="https://agentmods.dev/badge/skills/eddiebelaval/squire/chat-response-generator.svg" alt="Measured on agentmods" 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 | $0.00014 | $0.03321 |
| Opus 5 | $0.00007 | $0.01661 |
| Sonnet 5 | $0.00003 | $0.00664 |
| Haiku 4.5 | $0.00001 | $0.00332 |
Grade A, and why
Chat Response Generator 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 3d 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 — 657 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Chat Response Generator
The Chat Response Generator skill helps you craft quick, effective responses for chat platforms like Slack, Teams, Discord, WhatsApp, or any real-time messaging environment. Whether you're responding to a question, acknowledging a message, providing an update, or handling a sensitive situation, this skill ensures your responses are clear, appropriate, and achieve their purpose.
This skill understands that chat communication is fast-paced and contextual. Messages need to be concise yet complete, friendly yet professional, and responsive to the specific situation. The skill helps you balance speed with thoughtfulness, ensuring you maintain relationships while communicating efficiently.
Great chat responses move conversations forward, provide value, and maintain positive relationships. This skill makes creating them fast while keeping quality and tone appropriate for each situation.
Core Workflows
Workflow 1: Direct Response
- Read Context: Understand the message and situation
- Determine Type: Identify response category (answer, acknowledge, defer)
- Craft Reply: Write appropriate response
- Check Tone: Ensure tone matches relationship and context
- Send: Quick review and dispatch
Workflow 2: Complex Situation
- Assess Sensitivity: Identify any delicate elements
- Gather Information: Ensure you have what you need
- Structure Response: Organize multi-part answer
- Consider Implications: Think through how it will be received
- Refine: Polish before sending
Workflow 3: Template Creation
- Identify Pattern: Recognize recurring situations
- Create Base Response: Build reusable template
- Mark Variables: Identify customization points
- Test: Use in real scenarios
- Iterate: Refine based on effectiveness
Quick Reference
| Action | Command/Trigger |
|---|---|
| Answer question | "Reply to question about [topic]" |
| Acknowledge message | "Write acknowledgment for [message]" |
| Decline request | "Politely decline [request]" |
| Defer conversation | "Respond but defer to later" |
| Ask for clarification | "Ask for more info about [topic]" |
| Give update | "Provide status update on [topic]" |
| Handle complaint | "Respond to complaint about [issue]" |
| Express gratitude | "Thank someone for [action]" |
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.
- 3d ago First seen · 657 lines · 14 tokens per session scan A 0e304bcdcbf3
Chat Response Generator is a skill published in the GitHub repository eddiebelaval/squire (21 stars, last pushed 21d ago), licensed MIT. It adds 14 tokens to every session and 3,321 once invoked, about $0.0001 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 2026-09-03.
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