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 agentmods add skills/quickchatai/quickchat-claude-plugin/conversation-triagenpx skills add quickchatai/quickchat-claude-plugin --skill conversation-triagegit clone --depth 1 https://github.com/quickchatai/quickchat-claude-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/quickchatai/quickchat-claude-plugin/conversation-triage)<a href="https://agentmods.dev/skills/quickchatai/quickchat-claude-plugin/conversation-triage"><img src="https://agentmods.dev/badge/skills/quickchatai/quickchat-claude-plugin/conversation-triage.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 | $0.00108 | $0.00491 |
| Opus 5 | $0.00054 | $0.00246 |
| Sonnet 5 | $0.00022 | $0.00098 |
| Haiku 4.5 | $0.00011 | $0.00049 |
Grade A, and why
conversation-triage 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 5d 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.
What it actually says
Conversation triage
Surface the customer conversations a teammate should follow up on, and make each one actionable.
Before you start
- Call
list_scenariosto resolve the Agent. One Agent -> use it; else ask. - Default window: the last 7 days.
Steps
- Use
get_insightswith insight_type="flagged" for the conversations the AI escalated for the team to review. NOTE: this tool is NOT date-filtered — it returns the most recent matches across all time, so filter by timestamp yourself for the window and page withnext_cursorif needed. - Use
list_conversationswithresolution_status="open"plusstart_date/end_datefor the window to find open conversations. - Open
get_conversation_detailon the most important few to read the transcript, see what happened, and note any negative rating the customer left. - Cross-reference: a conversation that is both escalated and unresolved is the top priority.
Guardrails
- This connection can READ conversations but cannot resolve, reassign, or change the status of a conversation over MCP. Never claim to have changed a conversation's status — recommend the next step and tell the user to take it in the Quickchat Inbox.
Output
A prioritized list, most important first. For each: the customer's request in one line, why it is on the list (unresolved or escalated for review), any negative rating it received, and a suggested next step. End with the single top item to handle first.
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.
- 5d ago First seen · 48 lines · 108 tokens per session scan A b9fc5d4d9eea
conversation-triage is a skill published in the GitHub repository quickchatai/quickchat-claude-plugin (1 stars, last pushed 11d ago), licensed MIT. It adds 108 tokens to every session and 491 once invoked, about $0.0005 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 2026-08-31.
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