Skills debugging-toolkit-smart-debug
📦

debugging-toolkit-smart-debug

Content revision r2 Safe ⚙️ External commands

Diagnose Software Failures Systematically

Complex failures produce scattered evidence and uncertain fixes. This skill organizes triage, ranked hypotheses, root cause analysis, validation, and prevention.

Supports: Claude Codex Code(CC)
🥉 79 Bronze

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request
Review the Skillstore skill "debugging-toolkit-smart-debug" from https://skillstore.io/skills/sickn33-debugging-toolkit-smart-debug.md and its manifest at https://skillstore.io/api/skills/sickn33-debugging-toolkit-smart-debug/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.

Test it

Using "debugging-toolkit-smart-debug". Checkout requests time out for five percent of production users after the latest deployment.

Expected outcome:

Likely causes are ranked by deployment correlation and trace evidence. Next steps compare slow traces, database query counts, and upstream timeout rates.

Using "debugging-toolkit-smart-debug". A cache invalidation fix is ready, but the team needs a release validation plan.

Expected outcome:

  • Add regression tests for stale and refreshed cache states.
  • Canary the fix and compare error rate, latency, and cache hit rate.
  • Define rollback thresholds and document the confirmed root cause.

Security Audit

Safe
v5 • 7/23/2026 Open versioned report

All three static findings are false positives caused by Markdown backticks, a TypeScript example fence, and ordinary validation text. The skill contains no executable commands or network reconnaissance instructions.

1
Files scanned
206
Lines analyzed
0
Review items
0
False positives ignored

Risk Factors

⚙️ External commands (2)
No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.
Audited by: codex View Audit History →
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Open versioned report
Security Assessment

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Academic citations (APA · BibTeX · CFF)

APA citation

sickn33. (2026). debugging-toolkit-smart-debug security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/sickn33-debugging-toolkit-smart-debug/audits/5

BibTeX citation

@techreport{sickn33-sickn33-debugging-toolkit-smart-debug-2026, author = {sickn33}, title = {debugging-toolkit-smart-debug security audit report (audit version 5)}, institution = {Skillstore}, year = {2026}, number = {5}, url = {https://skillstore.io/skills/sickn33-debugging-toolkit-smart-debug/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: "debugging-toolkit-smart-debug security audit report (audit version 5)" version: "unspecified" type: report authors: - name: "sickn33" date-released: "2026-07-23" url: "https://skillstore.io/skills/sickn33-debugging-toolkit-smart-debug/audits/5" identifiers: - type: other value: "skillstore:sickn33-debugging-toolkit-smart-debug: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 Application Errors

Convert an error report into ranked causes, evidence needs, and the next diagnostic action.

Investigate Production Incidents

Correlate logs, metrics, traces, and deployments while planning production-safe instrumentation and validation.

Review Fix Readiness

Assess a proposed fix for impact, regression coverage, rollback needs, monitoring, and prevention actions.

Try These Prompts

Summarize an Error
Analyze this error: [error]. Summarize the issue, ask for missing context, and list three likely causes in probability order.
Rank Debugging Hypotheses
Given [stack trace] and [reproduction steps], rank hypotheses, cite evidence, define falsification criteria, and recommend the next diagnostic action.
Plan Production Diagnostics
Create a production-safe plan for [service issue] using available logs, metrics, and traces. Include instrumentation, access safeguards, validation, and rollback.
Correlate Evidence and Fix
Correlate [deployment timeline], [traces], [metrics], and [code changes]. Identify the root cause, propose a minimal fix, and design regression tests.

Best Practices

  • Provide exact errors, timestamps, environments, reproduction steps, recent deployments, and relevant logs before requesting a diagnosis.
  • Test each hypothesis with explicit falsification criteria before changing production code.
  • Validate fixes with regression tests, baseline comparisons, canary monitoring, and a documented rollback plan.

Avoid

  • Do not accept a root cause that lacks supporting evidence from code, logs, traces, metrics, or reproduction.
  • Do not enable broad production logging without access controls, sampling, retention limits, and sensitive-data review.
  • Do not deploy speculative fixes without tests, monitoring thresholds, impact assessment, and rollback preparation.

Frequently Asked Questions

What information should I provide?
Provide errors, stack traces, reproduction steps, affected components, environment, frequency, recent changes, and available observability evidence.
Can this skill access Sentry or DataDog?
Only when the host environment supplies authorized tools or data. Otherwise, provide relevant exports, traces, metrics, or screenshots.
Does it generate code fixes?
It can propose changes and tests after identifying a supported root cause. Review and validate every change in the target environment.
Can it debug production systems safely?
It recommends restricted instrumentation, sampling, canaries, monitoring, and rollback plans. Operators remain responsible for authorization and execution.
How are hypotheses prioritized?
Hypotheses are ranked using observed symptoms, code paths, timing, deployment correlation, environment differences, and available telemetry.
What does the final report include?
The report includes an issue summary, evidence-based root cause, fix proposal, validation plan, and prevention actions.

Developer Details

Author

sickn33

License

MIT

Skillstore revision

r2

Version notice

The author did not declare a version.

Ref

f9e2c34b4f19c7f3e6b0a1e93227b5f77cc12526

Maintenance freshness

7/26/2026

Usage

7 downloads · 104 views

File structure

📄 SKILL.md