building-incident-response-dashboard

building-incident-response-dashboard is a skill for Claude Code from 26zl/cybersec-toolkit. It costs 66 tokens per session (2,843 once invoked), scanned A, original, MIT.

A set of instructions for building live incident-response dashboards in Splunk, Elastic, or Grafana. These dashboards show affected systems, containment progress, indicators of compromise, timelines, and analyst workload.

In plain words
What is it for?
Use it to create dashboards for active incidents, management updates, post-incident timelines, and impact reviews.
Why use it?
It brings incident details from different security and ticketing systems into one view. This helps response teams coordinate during an attack and report its status clearly.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Part of the cybersec-toolkit plugin — 197 skills, 2 hooks, 1 MCP server shipped together

Good fit Use it to create dashboards for active incidents, management updates, post-incident timelines, and impact reviews.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/26zl/cybersec-toolkit/building-incident-response-dashboard
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 26zl/cybersec-toolkit --skill building-incident-response-dashboard
Clone the repo
git clone --depth 1 https://github.com/26zl/cybersec-toolkit

Made for: Claude Code.

Or install cybersec-toolkit, the plugin that ships this one along with the rest of its 197 skills, 2 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 building-incident-response-dashboard

README.md
[![agentmods](https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/building-incident-response-dashboard/github.svg)](https://agentmods.dev/skills/26zl/cybersec-toolkit/building-incident-response-dashboard)
Your own site
<a href="https://agentmods.dev/skills/26zl/cybersec-toolkit/building-incident-response-dashboard"><img src="https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/building-incident-response-dashboard/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 building-incident-response-dashboard

Your own site · 80×15
<a href="https://agentmods.dev/skills/26zl/cybersec-toolkit/building-incident-response-dashboard"><img src="https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/building-incident-response-dashboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,843 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 $0.00066 $0.02843
Opus 5 $0.00033 $0.01422
Sonnet 5 $0.00013 $0.00569
Haiku 4.5 $0.00007 $0.00284

Measured 8d ago against content hash 0af0957e9bf6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

building-incident-response-dashboard 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 8d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/agent.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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

2 near-identical copies found in the catalogue:

.claude/skills/building-incident-response-dashboard/SKILL.md · 311 lines

How it starts

The opening of the file, as written. The whole thing — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Building Incident Response Dashboard

When to Use

Use this skill when:

  • IR teams need real-time dashboards during active incidents for coordination and tracking
  • SOC leadership requires operational dashboards showing incident status and analyst workload
  • Post-incident reviews need visual timelines and impact assessments
  • Executive briefings require high-level incident metrics and trend analysis

Do not use for day-to-day SOC monitoring dashboards (use Incident Review instead) — IR dashboards are designed for active incident coordination and management reporting.

Prerequisites

  • SIEM platform (Splunk with Dashboard Studio, Elastic Kibana, or Grafana)
  • Notable event and incident data in SIEM (Splunk ES incident_review index)
  • Ticketing system integration (ServiceNow, Jira) for remediation tracking
  • Asset and identity lookup tables for context enrichment
  • Dashboard publishing access for SOC team and management distribution

Workflow

Step 1: Design Active Incident Dashboard Layout

Build a Splunk Dashboard Studio dashboard for active incident tracking:

<dashboard version="2" theme="dark">
  <label>Active Incident Response Dashboard</label>
  <description>Real-time tracking for IR-2024-0450</description>

  <row>
    <panel>
      <title>Incident Summary</title>
      <single>
        <search>
          <query>
| makeresults
| eval incident_id="IR-2024-0450",
       status="CONTAINMENT",
       severity="Critical",
       affected_hosts=7,
       contained_hosts=5,
       iocs_identified=23,
       hours_elapsed=round((now()-strptime("2024-03-15 14:00","%Y-%m-%d %H:%M"))/3600,1)
| table incident_id, status, severity, affected_hosts, contained_hosts, iocs_identified, hours_elapsed
          </query>
        </search>
      </single>
    </panel>
  </row>
</dashboard>

Step 2: Build Real-Time Affected Systems Panel

Track affected systems and their containment status:

| inputlookup ir_affected_systems.csv
| eval status_color = case(
    status="Contained", "#2ecc71",
    status="Compromised", "#e74c3c",
    status="Investigating", "#f39c12",
    status="Recovered", "#3498db",
    1=1, "#95a5a6"
  )
| stats count by status
| eval order = case(status="Compromised", 1, status="Investigating", 2,
                    status="Contained", 3, status="Recovered", 4)
| sort order
| table status, count

--- Detailed host table
| inputlookup ir_affected_systems.csv
| lookup asset_lookup_by_cidr ip AS host_ip OUTPUT category, owner, priority
| table hostname, host_ip, category, owner, status, containment_time,
        compromise_vector, analyst_assigned
| sort status, hostname

Read the full file on GitHub · 311 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 8d ago First seen · 311 lines · 66 tokens per session scan A 0af0957e9bf6

Subscribe to this mod's changes

building-incident-response-dashboard is a skill published in the GitHub repository 26zl/cybersec-toolkit (54 stars, last pushed today), licensed MIT. It adds 66 tokens to every session and 2,843 once invoked, about $0.0003 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 2026-09-03.

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