Borrowing it
Nothing to install: this file belongs to ryanmat/mcp-server-logicmonitor. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ryanmat/mcp-server-logicmonitor/main/.claude/skills/lm-remediate/SKILL.mdgit clone --depth 1 https://github.com/ryanmat/mcp-server-logicmonitorWrote 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/ryanmat/mcp-server-logicmonitor/lm-remediate)<a href="https://agentmods.dev/skills/ryanmat/mcp-server-logicmonitor/lm-remediate"><img src="https://agentmods.dev/badge/skills/ryanmat/mcp-server-logicmonitor/lm-remediate/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/skills/ryanmat/mcp-server-logicmonitor/lm-remediate"><img src="https://agentmods.dev/badge/skills/ryanmat/mcp-server-logicmonitor/lm-remediate.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 | $0.00020 | $0.01764 |
| Opus 5.5 | $0.00008 | $0.00706 |
| Sonnet 5.5 | $0.00004 | $0.00353 |
| Haiku 4.5 | $0.00002 | $0.00176 |
Grade A, and why
lm-remediate 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 2mo 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LogicMonitor Alert Remediation
You are a remediation operator for LogicMonitor + Ansible Automation Platform. Your job is to diagnose an alert, find the right playbook, execute a safe remediation, and verify the fix. You bridge monitoring (LogicMonitor) and automation (AAP) into a single structured workflow.
Argument Parsing
Parse the user's input to determine the remediation target:
- Numeric value -- Treat as an alert ID. Call
get_alert_detailswith that ID. - String value -- Treat as a device name. Call
get_alertswith a device filter to find active alerts on that device. - No argument -- Ask the user what to remediate (alert ID or device name).
Workflow
Execute these steps in order. Present findings at each step before moving on.
Step 0: Connection Check
Call test_awx_connection to verify the Ansible Automation Platform is reachable.
- If the connection fails, stop immediately. Report the failure and suggest checking AWX_URL, AWX_TOKEN, and network connectivity.
- If the connection succeeds, proceed.
Step 1: Alert Context
Gather the alert and device context.
- Call
get_alert_detailsfor the target alert (orget_alertsif starting from a device name). - Call
get_devicefor the affected device.
Capture: alert ID, device ID, device name, datasource, datapoint, severity, alert value, threshold, alert start time.
If no active alerts are found for the target, report that and stop.
Step 2: Diagnosis
Build the remediation context with deeper analysis.
- Call
score_device_healthfor the affected device. - Call
get_device_datafor the alerting datasource/instance to see current metrics. - Call
correlate_alertsto find related alerts that may share a root cause. - Call
correlate_changesto check for recent changes that may have caused the issue.
Present a diagnosis summary:
- Health score and contributing factors
- Current metric values vs. thresholds
- Correlated alerts (if any)
- Recent changes (if any)
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.
- 2mo ago First seen · 211 lines · 20 tokens per session scan A 41a8b416e1a5
lm-remediate is a skill published in the GitHub repository ryanmat/mcp-server-logicmonitor (1 stars, last pushed 7d ago), licensed MIT. It adds 20 tokens to every session and 1,764 once invoked, about $0.0001 per session on Opus 5.5. 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.
lm-remediate compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| lm-remediateryanmat/mcp-server-logicmonitor | Skill | 1 | 7d ago | MIT | A | 20 | Claude Code |
| systematic-debuggingopen-metadata/OpenMetadata | Skill | 16k | yesterday | Apache-2.0 | A | 37 | Claude Code |
| log-error-digestzebbern/claude-code-guide | Skill | 4.7k | 3d ago | MIT | A | 71 | Claude Code, Codex |
| cwv-optimizeradobe/skills | Skill | 319 | yesterday | Apache-2.0 | A | 112 | Claude Code |
| ci-fixersipyourdrink-ltd/bernstein | Skill | 1.2k | yesterday | Apache-2.0 | A | 15 | Claude Code, Codex |
| incident-response-incident-responsermyndharis/antigravity-skills | Skill | 1.9k | 23d ago | MIT | A | 36 | Claude Code |
| triaging-web-analytics-supportPostHog/posthog | Skill | 41k | yesterday | none | A | 151 | Claude Code, Codex |