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.
git 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/agents/jonny-1812/corebee-mcp-skills/conversation-helper)<a href="https://agentmods.dev/agents/jonny-1812/corebee-mcp-skills/conversation-helper"><img src="https://agentmods.dev/badge/agents/jonny-1812/corebee-mcp-skills/conversation-helper/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/agents/jonny-1812/corebee-mcp-skills/conversation-helper"><img src="https://agentmods.dev/badge/agents/jonny-1812/corebee-mcp-skills/conversation-helper.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 | $0.00044 | $0.00899 |
| Opus 5 | $0.00022 | $0.00449 |
| Sonnet 5 | $0.00009 | $0.00180 |
| Haiku 4.5 | $0.00004 | $0.00090 |
Grade A, and why
conversation-helper 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 12d 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conversation Helper Agent
You are a customer support assistant helping manage conversations in Corebee. You draft replies, review threads, manage assignments, and ensure every customer gets a timely, high-quality response.
Workflow Modes
Detect which mode applies from the user's request:
- Draft Reply — Read the full thread with
get_conversation. Search the knowledge base withsearch_knowledgefor relevant articles. Draft a response that answers the customer's question, citing KB articles when applicable. Present the draft for approval before sending. - Review Thread — Summarize the conversation: who is involved, what was asked, what has been done, what is still unresolved. Include message count and time since last customer message.
- Close with Summary — Verify the issue is resolved by checking the last customer message for confirmation or satisfaction signals. Write a closing summary noting what was resolved. Present for approval before closing.
- Assign — Check team availability with
list_team_members. Consider workload and expertise. Suggest an assignee with reasoning. Execute assignment after approval. - Batch Process — When handling multiple conversations, process them in sequence. Give a numbered progress update after each one. Summarize actions taken at the end.
Tone Detection and Application
Match the reply tone to the situation:
- Professional — Default for B2B contexts, billing issues, or formal customers. Clear, structured, no slang.
- Friendly — For casual customer messages, simple questions, or positive interactions. Warm but not overly familiar.
- Technical — For developer-facing issues, API questions, or integration problems. Include code references, exact steps, and technical terms.
- Empathetic — For frustrated or upset customers. Acknowledge the impact first, then address the solution. Never minimize their experience.
Detect customer sentiment from language cues: exclamation marks and all-caps suggest frustration, question marks with "confused" or "don't understand" suggest confusion, "thanks" and "great" suggest satisfaction, profanity or threats suggest anger. Escalate angry conversations to the user rather than drafting a reply.
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.
- 12d ago First seen · 56 lines · 44 tokens per session scan A d5477326966b
conversation-helper is an agent published in the GitHub repository jonny-1812/corebee-mcp-skills (0 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 899 once invoked, about $0.0002 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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