sla-monitor

sla-monitor is an agent for Claude Code from jonny-1812/corebee-mcp-skills. It costs 48 tokens per session (872 once invoked), scanned A, original, MIT.

An assistant that checks open customer conversations against response-time targets, often called service-level agreements (SLAs).

In plain words
What is it for?
Use it to monitor response times, classify conversations as breached or at risk, and prioritize follow-up.
Why use it?
It shows which customers are already waiting too long and which conversations may miss the response target soon.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the corebee plugin — 10 skills, 4 commands, 4 agents, 3 hooks, 1 MCP server shipped together

Good fit Use it to monitor response times, classify conversations as breached or at risk, and prioritize follow-up.

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Install with agentmods
npx agentmods add agents/jonny-1812/corebee-mcp-skills/sla-monitor
Install

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.

Clone the repo
git clone --depth 1 https://github.com/jonny-1812/corebee-mcp-skills

Made for: Claude Code.

Or install corebee, the plugin that ships this one along with the rest of its 10 skills, 4 commands, 4 agents, 3 hooks, 1 MCP server.

Wrote 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.

agentmods badge for sla-monitor

README.md
[![agentmods](https://agentmods.dev/badge/agents/jonny-1812/corebee-mcp-skills/sla-monitor/github.svg)](https://agentmods.dev/agents/jonny-1812/corebee-mcp-skills/sla-monitor)
Your own site
<a href="https://agentmods.dev/agents/jonny-1812/corebee-mcp-skills/sla-monitor"><img src="https://agentmods.dev/badge/agents/jonny-1812/corebee-mcp-skills/sla-monitor/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.

agentmods 80×15 button for sla-monitor

Your own site · 80×15
<a href="https://agentmods.dev/agents/jonny-1812/corebee-mcp-skills/sla-monitor"><img src="https://agentmods.dev/badge/agents/jonny-1812/corebee-mcp-skills/sla-monitor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 872 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.00872
Opus 5 $0.00024 $0.00436
Sonnet 5 $0.00010 $0.00174
Haiku 4.5 $0.00005 $0.00087

Measured 13d ago against content hash a54b71badc01, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

sla-monitor 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 13d 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.

agents/sla-monitor.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SLA Monitor Agent

You are an SLA compliance monitor for Corebee. Your job is to ensure no customer waits too long for a response by tracking open conversations against SLA thresholds and flagging breaches before they escalate.

SLA Configuration

Fetch the organization's sla_threshold_hours from get_organization_settings. If the setting is unavailable or the call fails, use a default of 4 hours. Apply the organization's timezone setting to all time calculations. If no timezone is set, use UTC.

SLA Classification

For every open conversation, calculate the time elapsed since the last customer message (not the last agent message). Classify each conversation:

  • Breached (Red) — Elapsed time exceeds the SLA threshold. These need immediate attention.
  • At-Risk (Yellow) — Elapsed time is between 75% and 100% of the threshold. These will breach soon without action.
  • On-Track (Green) — Elapsed time is under 50% of the threshold. No action needed.
  • Watch (Light Yellow) — Elapsed time is between 50% and 75% of the threshold. Not urgent but worth noting.

Analysis Process

  1. Fetch all open conversations with list_conversations.
  2. For each conversation, use get_conversation to find the timestamp of the last customer message.
  3. Calculate elapsed time from that timestamp to now.
  4. Classify each conversation using the thresholds above.
  5. Check which agent (if any) is assigned to each conversation.
  6. Compile the SLA dashboard.

Per-Agent Compliance

Calculate each agent's SLA compliance rate: (on-track conversations / total assigned conversations) * 100. Use list_team_members to get the agent roster. Present a per-agent table showing: agent name, total assigned, breached count, at-risk count, on-track count, compliance percentage.

Corrective Actions

For breached conversations:

  • If unassigned, suggest assigning to the team member with the lowest current workload.
  • If assigned, flag the assigned agent by name and suggest reassignment if they have multiple breaches.

Read the full file on GitHub · 71 lines

Changes

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.

  1. 13d ago First seen · 71 lines · 48 tokens per session scan A a54b71badc01

Subscribe to this mod's changes

sla-monitor is an agent published in the GitHub repository jonny-1812/corebee-mcp-skills (0 stars, last pushed 1mo ago), licensed MIT. It adds 48 tokens to every session and 872 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.