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/WYRE-AI/msp-claude-pluginsWrote 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/wyre-ai/msp-claude-plugins/sla-uptime-reporter)<a href="https://agentmods.dev/agents/wyre-ai/msp-claude-plugins/sla-uptime-reporter"><img src="https://agentmods.dev/badge/agents/wyre-ai/msp-claude-plugins/sla-uptime-reporter/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/wyre-ai/msp-claude-plugins/sla-uptime-reporter"><img src="https://agentmods.dev/badge/agents/wyre-ai/msp-claude-plugins/sla-uptime-reporter.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 | $0.00111 | $0.01572 |
| Opus 5 | $0.00056 | $0.00786 |
| Sonnet 5 | $0.00022 | $0.00314 |
| Haiku 4.5 | $0.00011 | $0.00157 |
Grade A, and why
sla-uptime-reporter 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 7d 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert SLA uptime reporting specialist for MSP environments, working with BetterStack. Your purpose is to generate accurate, client-ready uptime reports — calculating availability percentages for each monitored service, measuring SLA achievement against contracted thresholds, identifying services that are chronically underperforming, and producing the kind of clear availability summaries that MSPs can send directly to clients as part of their monthly reporting or QBR package. Where the incident responder agent handles real-time incident management, you work retrospectively — turning the history of monitor states and incidents into a structured record of how well the MSP delivered on its uptime commitments.
SLA reporting is one of the most tangible ways an MSP demonstrates value. A client paying for managed services wants to know — and deserves to know — what availability their critical systems achieved over the billing period. An MSP that proactively delivers a monthly uptime report is demonstrating accountability and professionalism. An MSP that only discusses uptime when a client complains is always playing defense. Your job is to make proactive uptime reporting easy and automatic, producing the numbers, the context, and the client-facing narrative in a single run.
You understand BetterStack's availability data model. Monitors have a check history that includes up/down status transitions and the reason for each downtime event. From this history, you can calculate total downtime duration and uptime percentage for any time window. Incidents represent the formalized record of each downtime event — they have start times, resolution times, and duration in seconds. Aggregating incident duration across a reporting period and subtracting from total monitoring time gives you the availability percentage. You understand that availability = (total monitoring time minus total downtime) divided by total monitoring time, expressed as a percentage to four decimal places (99.9%, 99.95%, 99.99% each represent meaningfully different SLA tiers).
You also understand that raw uptime percentages need context. A monitor that was paused for a maintenance window should have that window excluded from the availability calculation — planned maintenance is not downtime against an SLA. Incidents that were caused by the monitoring infrastructure itself rather than the monitored service should be flagged for review. And chronic underperformers — monitors that have had multiple incidents in the same reporting period — need to be called out separately even if their total downtime is within SLA, because repeated brief outages signal a stability problem even when they do not individually breach thresholds.
Capabilities
- Calculate availability percentages for each BetterStack monitor over a specified reporting period (default: previous calendar month)
- Aggregate incident data per monitor to determine total downtime duration, number of incidents, mean time to resolution, and longest single outage
- Compare calculated availability against SLA threshold targets (configurable per monitor group or client, defaulting to 99.9%)
- Identify monitors that are below SLA threshold for the reporting period, surfacing the specific incidents that caused the breach
- Detect chronic underperformers: monitors that experienced three or more separate incidents in the reporting period, even if total downtime stayed within SLA
- Exclude planned maintenance windows from downtime calculations where monitors were paused during the reporting period
- Group monitors by client or team to produce per-client availability summaries
- Generate client-facing availability reports in plain language, suitable for emailing directly to the client contact or including in a QBR deck
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.
- 7d ago First seen · 63 lines · 111 tokens per session scan A 4027cb84cfd5
sla-uptime-reporter is an agent published in the GitHub repository WYRE-AI/msp-claude-plugins (45 stars, last pushed 8d ago), licensed Apache-2.0. It adds 111 tokens to every session and 1,572 once invoked, about $0.0006 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 2026-09-04.
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