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Skills incident-response-smart-fix
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incident-response-smart-fix
Content revision r2 Medium Risk ⚙️ External commands
Resolve Production Incidents with an AI Workflow
Production incidents are difficult to diagnose across logs, code, dependencies, and systems. This skill structures investigation, repair, verification, rollout, and prevention across specialized AI agents.
Supports: Claude Codex Code(CC)
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Agent request
Review the Skillstore skill "incident-response-smart-fix" from https://skillstore.io/skills/sickn33-incident-response-smart-fix.md and its manifest at https://skillstore.io/api/skills/sickn33-incident-response-smart-fix/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "incident-response-smart-fix". Checkout requests began timing out after release 2.4.1. Sentry shows database timeout errors.
Expected outcome:
Triage identifies release correlation, scopes customer impact, and prioritizes database traces. Next steps include reproduction, bisect, query review, and rollback criteria.
Using "incident-response-smart-fix". A login endpoint may allow SQL injection after a recent query refactor.
Expected outcome:
The workflow routes security review first, requires parameterized queries and regression tests, then verifies authentication controls before staged rollout.
Using "incident-response-smart-fix". A frontend fix passes unit tests but may increase page latency.
Expected outcome:
Verification adds integration testing, browser checks, baseline comparisons, and p95 measurements. Deployment remains blocked when thresholds fail.
Security Audit
Medium Riskv5 • 7/24/2026 Open versioned report
All ten static findings are false positives. The matches are ordinary incident-response prose, Markdown resource links, and clear English rather than reconnaissance, shell execution, or obfuscation. Two medium-risk safeguards are missing: incident-data redaction rules and mandatory human approval before direct production deployment.
2
Files scanned
877
Lines analyzed
0
Review items
0
False positives ignored
Confirmed security concerns (2)
Medium
Sensitive Incident Data Lacks Redaction Requirements
Prompts request logs, traces, observability links, and production-like data without requiring secret or personal-data redaction before AI processing.
The prompts explicitly request operational evidence and production-like data. No nearby instruction requires redaction or access control.
Medium
Production Deployment Lacks Mandatory Human Authorization
The rollout configuration permits direct production deployment for hotfixes without requiring authorized human approval before an agent changes a live system.
The playbook explicitly offers immediate production deployment. It describes rollout options but does not impose a mandatory authorization gate.
Risk Factors
⚙️ External commands (2)
Audited by: codex View Audit History →
Share & cite this report
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
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https://skillstore.io/skills/sickn33-incident-response-smart-fix/audits/5?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
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<iframe src="https://skillstore.io/embed/skills/sickn33-incident-response-smart-fix.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
sickn33. (2026). incident-response-smart-fix security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/sickn33-incident-response-smart-fix/audits/5BibTeX citation
@techreport{sickn33-sickn33-incident-response-smart-fix-2026,
author = {sickn33},
title = {incident-response-smart-fix security audit report (audit version 5)},
institution = {Skillstore},
year = {2026},
number = {5},
url = {https://skillstore.io/skills/sickn33-incident-response-smart-fix/audits/5},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "incident-response-smart-fix security audit report (audit version 5)"
version: "unspecified"
type: report
authors:
- name: "sickn33"
date-released: "2026-07-24"
url: "https://skillstore.io/skills/sickn33-incident-response-smart-fix/audits/5"
identifiers:
- type: other
value: "skillstore:sickn33-incident-response-smart-fix:audit:5"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: High 55
Architecture
85
Maintainability
87
Content
69
Community
91
Spec Compliance
What You Can Build
Triage a Production Failure
Organize error evidence, customer impact, recent changes, and immediate mitigation steps during an active incident.
Coordinate a Cross-System Fix
Route database, application, performance, and testing work while preserving context between specialists.
Strengthen Incident Prevention
Turn a resolved incident into tests, monitoring, static checks, documentation, and follow-up tasks.
Try These Prompts
Triage an Incident
Triage this incident: {summary}. Use {available_logs} and {known_impact}. Identify the error signature, affected users, timeline, and three immediate next steps.Investigate the Root Cause
Investigate the root cause of {incident}. Review {stack_trace}, {recent_changes}, and {dependency_context}. Produce evidence-backed hypotheses, reproduction steps, and a git bisect plan when appropriate.Design and Verify a Fix
Design a minimal fix for {root_cause} in {language_or_stack}. Include unit, integration, regression, security, and performance checks. Define rollback criteria and required monitoring.Coordinate a Complete Response
Coordinate a complete response for {incident} across {systems}. Assign specialist roles and specify context handoffs. Deliver a root cause, fix plan, verification matrix, rollout strategy, and prevention tasks.Best Practices
- Redact secrets and personal data before sharing logs, traces, links, or production samples.
- Confirm the incident scope, permissions, rollback plan, and success metrics before implementation.
- Validate fixes in controlled environments before a gradual production rollout.
Avoid
- Do not deploy generated fixes directly to production without authorized human review.
- Do not treat a plausible hypothesis as the root cause without reproduction or supporting evidence.
- Do not skip regression, security, or performance checks for high-impact incidents.
Frequently Asked Questions
What inputs does this skill need?
Provide a sanitized incident summary, error details, available traces, recent changes, business impact, and environment constraints.
Does this skill execute commands automatically?
No. It provides workflow prompts and examples. Tool execution depends on the host agent, permissions, and user approval.
Which technology stacks are supported?
The playbook covers Python, JavaScript, TypeScript, Go, Rust, databases, performance engineering, testing, and security work.
Can it work without an observability platform?
Yes, but conclusions may be weaker. Provide reproducible symptoms, application logs, test failures, and recent code changes.
Does it handle deployment planning?
It creates rollout, monitoring, rollback, and abort criteria. An authorized human should approve every production change.
How should sensitive incident data be handled?
Redact credentials, personal data, customer payloads, and internal tokens. Share controlled references only when the selected AI environment permits them.
Developer Details
Author
sickn33License
MIT
Skillstore revision
r2
Version notice
The author did not declare a version.
Repository
https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/incident-response-smart-fixRef
88a8e9a07f4c54ab105c1c41b6267c287146b07b
Maintenance freshness
7/26/2026
Usage
7 downloads · 106 views
File structure
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