incident-investigation

incident-investigation is a skill for Claude Code from sirkirby/unifi-mcp. It costs 46 tokens per session (276 once invoked), scanned A, original, MIT.

An investigation workflow for finding the cause of a network incident by comparing device events with camera footage and building-access records. A network incident is an outage or unusual event affecting connected equipment.

In plain words
What is it for?
Use it to investigate switches or Wi-Fi access points going offline, network anomalies, and other infrastructure events. It can use network data, with camera and access records when those systems are connected.
Why use it?
It brings separate records into one timeline, making it easier to tell whether a device failure was related to nearby activity, physical access, or other affected devices.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the cross-product plugin — 3 skills shipped together

Good fit Use it to investigate switches or Wi-Fi access points going offline, network anomalies, and other infrastructure events. It can use network data, with camera and access records when those systems are connected.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sirkirby/unifi-mcp/incident-investigation
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.

Any agent
npx skills add sirkirby/unifi-mcp --skill incident-investigation
Clone the repo
git clone --depth 1 https://github.com/sirkirby/unifi-mcp

Made for: Claude Code.

Or install cross-product, the plugin that ships this one along with the rest of its 3 skills.

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 incident-investigation

README.md
[![agentmods](https://agentmods.dev/badge/skills/sirkirby/unifi-mcp/incident-investigation/github.svg)](https://agentmods.dev/skills/sirkirby/unifi-mcp/incident-investigation)
Your own site
<a href="https://agentmods.dev/skills/sirkirby/unifi-mcp/incident-investigation"><img src="https://agentmods.dev/badge/skills/sirkirby/unifi-mcp/incident-investigation/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 incident-investigation

Your own site · 80×15
<a href="https://agentmods.dev/skills/sirkirby/unifi-mcp/incident-investigation"><img src="https://agentmods.dev/badge/skills/sirkirby/unifi-mcp/incident-investigation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 276 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00046 $0.00276
Opus 5 $0.00023 $0.00138
Sonnet 5 $0.00009 $0.00055
Haiku 4.5 $0.00005 $0.00028

Measured 13d ago against content hash 5ac9db5f9a86, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

incident-investigation 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

plugins/cross-product/skills/incident-investigation/SKILL.md · 33 lines

What it actually says

Network Incident Investigation

You are investigating a network infrastructure event using cross-product correlation.

What You Do

Given an incident (e.g., "switch went offline", "AP stopped responding"), you:

  1. Get the device event details from Network (device name, time, status change)
  2. Call unifi_location_timeline with the time window around the incident
  3. Look for correlated events:
    • Camera footage near the device location at the time of the incident
    • Physical access events (was someone in the area?)
    • Other devices on the same network segment affected?
  4. Present a timeline of what happened with your assessment

Requirements

  • Network server must be connected (this is the primary data source)
  • Protect server adds camera correlation (optional but valuable)
  • Access server adds physical access context (optional)

Example Prompts

  • "A switch went offline at 2 AM — what happened?"
  • "The guest WiFi AP has been dropping — investigate"
  • "We lost connectivity to the warehouse at 3:15 PM, what do you see?"
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 · 33 lines · 46 tokens per session scan A 5ac9db5f9a86

Subscribe to this mod's changes

incident-investigation is a skill published in the GitHub repository sirkirby/unifi-mcp (809 stars, last pushed 2d ago), licensed MIT. It adds 46 tokens to every session and 276 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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