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/sla-monitor)<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.
<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>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 | $0.00048 | $0.00872 |
| Opus 5 | $0.00024 | $0.00436 |
| Sonnet 5 | $0.00010 | $0.00174 |
| Haiku 4.5 | $0.00005 | $0.00087 |
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.
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
- Fetch all open conversations with
list_conversations. - For each conversation, use
get_conversationto find the timestamp of the last customer message. - Calculate elapsed time from that timestamp to now.
- Classify each conversation using the thresholds above.
- Check which agent (if any) is assigned to each conversation.
- 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.
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.
- 13d ago First seen · 71 lines · 48 tokens per session scan A a54b71badc01
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.
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