Agent skill · Audited from source

Incident Commander

skill · borghei/Claude-SkillsNOASSERTION licenceAudited 19 Oct 2026 · source 6e3fcbdbb5cf

★ 949pushed 12 days agoversion 1.2.0
!CAUTIONGrade B · 89/100 · 5 findings · 6e3fcbd
949repo stars · whole borghei/Claude-Skills

Is it safe? With care — CAUTION, grade B (89/100). We read this skill's source at commit 6e3fcbdbb5cf and found no filesystem, network or shell access and no hard-coded secrets. The audit raised 5 findings, 0 critical or high. What it does: Production incident response. Use when handling incidents, classifying severity, reconstructing timelines, writing postmortems, generating comms templates, or building response playbooks with severity scoring and RCA…

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Cite this page

ModelsAtlas. “Incident Commander (borghei/Claude-Skills)”. Retrieved 19 Oct 2026. https://modelsatlas.com/skills/borghei/incident-commander

2 skills are called “Incident Commander”. You are viewing borghei/Claude-Skills.

Trust audit

Audit 0.4.1 · source read 19 Oct 2026

Trust score89/100!CAUTION B
0 critical0 high5 medium0 low0 info

CAUTION means the audit found things worth knowing before you trust this skill. Grade B is shared by 13,985 of 14,816 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityWARN5
L1 Static sourceSecrets, path traversal, supply chain, hidden codePASS0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (5)

Audit 0.4.1 · source sha 6e3fcbdbb5cf · 19 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publisherborghei GitHub userOwner of the repository this skill is read from
  • Source folderborghei/Claude-Skills/engineering/incident-commanderThe exact folder we audited
  • LicenceNOASSERTIONAs the repository states it
  • Commit pinned for this verdict6e3fcbdbb5cfA new audit runs when the source changes
  • Repository statusNot archivedLast push 12 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Production incident response. Use when handling incidents, classifying severity, reconstructing timelines, writing postmortems, generating comms templates, or building response playbooks with severity scoring and RCA…

---
name: incident-commander
description: >
  Production incident response. Use when handling incidents, classifying severity,
  reconstructing timelines, writing postmortems, generating comms templates, or building
  response playbooks with severity scoring and RCA frameworks.
license: MIT + Commons Clause
metadata:
  version: 1.2.0
  author: borghei
  category: engineering
  domain: incident-response
  tier: POWERFUL
  updated: 2026-06-17
  tags: [incident-response, severity-classification, rca, postmortem]
  python-tools: incident_classifier.py, severity_classifier.py, timeline_reconstructor.py, incident_timeline_builder.py, pir_generator.py, postmortem_generator.py
  tech-stack: python, json, markdown
---
# Incident Commander

Classify incident severity, reconstruct timelines from heterogeneous event sources, and generate structured post-incident reviews with root cause analysis and action items. Codifies PagerDuty, Google SRE, and Atlassian incident-management practices into severity scoring, escalation matrices, communication templates, RCA frameworks, and SLA/error-budget tracking.

## Core Capabilities

- **Severity classification** — multi-dimensional scoring (revenue, user scope, data/security risk, service criticality, blast radius) into SEV-1 to SEV-4 with confidence and escalation paths.
- **Timeline reconstruction** — chronological timelines from logs, alerts, Slack, and deploy events with phase detection and gap analysis.
- **Post-incident review** — PIRs with 5 Whys, Fishbone, Timeline, or Bow Tie RCA plus categorized action items (owner, priority, deadline).
- **Postmortem quality** — coverage-gap detection, action-item quality scoring, MTTD/MTTR benchmarking.
- **Communication & escalation** — severity-specific internal/executive/customer/status-page templates; technical (L1-L4) and business escalation matrices with time-based triggers.
- **SLA / error-budget tracking** — SLI/SLO/SLA hierarchy, error budgets, burn-rate alerting, and breach handling.

## When to Use

- Handling an active incident — classify severity, establish command, mitigate, communicate.
- Running a post-incident review — reconstruct timeline, perform RCA, assign action items.
- Managing escalation — apply technical and business escalation paths by severity and elapsed time.
- Building or auditing response playbooks, comms templates, or SLA/error-budget policy.

## Clarify First

Before producing the artifact, confirm these inputs. If any is unknown or vague, ASK — do not assume:

- [ ] **Task & deliverable** — classify severity, reconstruct a timeline, or generate a PIR/postmortem (selects `severity_classifier.py` vs `timeline_reconstructor.py` vs `pir_generator.py`/`postmortem_generator.py`)
- [ ] **Incident input data** — the incident/events JSON with severity dimensions (revenue, user scope, data/security risk, blast radius) (the input the scripts parse)
- [ ] **RCA method** — 5 Whys, Fishbone, Timeline, or Bow Tie (sets `pir_generator.py --rca-method` and the postmortem structure)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

## Tools

| Tool | Purpose | Command |
|------|---------|---------|
| `incident_classifier.py` | Classify severity, recommend response teams and comms templates | `python scripts/incident_classifier.py --input incident.json --format text` |
| `severity_classifier.py` | Multi-dimensional severity score with escalation path | `python scripts/severity_classifier.py incident.json --format markdown` |
| `timeline_reconstructor.py` | Reconstruct timeline from timestamped events with phase + gap analysis | `python scripts/timeline_reconstructor.py --input events.json --detect-phases --gap-analysis --format markdown` |
| `incident_timeline_builder.py` | Build structured timeline with MTTD/MTTR and comms templates | `python scripts/incident_timeline_builder.py incident_data.json --format markdown` |
| `pir_generator.py` | Generate Post-Incident Review with RCA and action items | `python scripts/pir_generator.py --incident incident.json --rca-method fishbone --action-items` |
| `postmortem_generator.py` | Generate postmortem with 5-Whys, benchmarks, coverage gaps | `python scripts/postmortem_generator.py incident_data.json --format markdown` |

## References

Load the reference that matches the task — keep this file lean and pull detail on demand:

- **[references/response-playbooks.md](references/response-playbooks.md)** — quick-start commands, the detection-to-resolution and post-incident-review workflows, escalation management, anti-patterns, and tool troubleshooting. Read when running an incident end-to-end or using the scripts.
- **[references/incident-response-framework.md](references/incident-response-framework.md)** — PagerDuty/Google SRE/Atlassian framework comparison, role definitions (IC, Comms, Ops, Scribe, SME, Liaison), communication protocols, escalation matrix, and the 7-phase incident lifecycle. Read when designing the response process or assigning roles.
- **[references/incident_severity_matrix.md](references/incident_severity_matrix.md)** — full SEV-1 to SEV-4 impact criteria, response requirements, escalation paths, classification guidelines, decision tree, and examples. Read when classifying or calibrating severity.
- **[references/communication_templates.md](references/communication_templates.md)** — ready-to-use internal, executive, customer, status-page, escalation, and resolution templates by severity. Read when drafting any incident communication.
- **[references/rca_frameworks_guide.md](references/rca_frameworks_guide.md)** — step-by-step 5 Whys, Fishbone, Timeline, and Bow Tie frameworks with templates, selection guidance, and anti-patterns. Read when performing root cause analysis.
- **[references/sla-management-guide.md](references/sla-management-guide.md)** — SLI/SLO/SLA hierarchy, error-budget policy, burn-rate alerting, breach handling, and inc

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 6e3fcbd

Download folder ↗
git clone https://github.com/borghei/Claude-Skills
git -C Claude-Skills checkout 6e3fcbdbb5cf

The author documents no install command, so this uses the repository directly. Our verdict covers commit 6e3fcbdbb5cf only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. !CAUTION B 89 / 100

    first audit · source 6e3fcbdbb5cf

A11y Audit!CAUTION

borghei/Claude-Skills

This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".

★ 949Grade B
Agent Designer!CAUTION

borghei/Claude-Skills

Designs multi-agent system architectures with orchestration patterns, tool schemas, and performance evaluation. Use when building AI agent systems, designing agent workflows, creating tool schemas, or evaluating agent…

★ 949Grade B
Agent Protocol!CAUTION

borghei/Claude-Skills

Design AI agent communication protocols: MCP tool schemas, A2A, function calling, and inter- agent messaging. Use when building multi-agent systems, defining tool interfaces, or implementing agent-to-agent communication.

★ 949Grade B
Agent Workflow Designer!CAUTION

borghei/Claude-Skills

Design multi-agent orchestration with workflow DAGs, routing, handoff protocols, and state management. Use when building pipelines of specialized agents, designing fan-out/fan-in patterns, or implementing fault-tolerant…

★ 949Grade B
Agenthub!CAUTION

borghei/Claude-Skills

Multi-agent DAG orchestration for workflows where AI agents collaborate via dependency graphs, covering agent spawning, output merging, and quality evaluation. Use when a task needs multiple specialized agents or to…

★ 949Grade B
Analytics Engineer!CAUTION

borghei/Claude-Skills

Analytics engineering across data modeling, dbt, transformation, and semantic layers. Use when building dbt models, designing star schemas, writing staging or mart SQL, configuring data tests, or optimizing warehouse…

★ 949Grade B

Questions about Incident Commander

What does the Incident Commander skill do?
385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit. Installs on Claude Code, Cursor, Codex, Gemini, Copilot, and 6 other AI assistants.
Is Incident Commander safe to install?
With care. The audit graded it B (89/100) and found 5 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can Incident Commander access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (6e3fcbdbb5cf), read on 2026-10-19. The repository is watched, and a new audit runs when it changes — this is the first audit.

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