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adeonir/agent-skills132 installs

debug-tools

Evidence-led debugging for unexpected, silent, or intermittent failures. Use when tracing bugs, adding targeted logs, or verifying fixes. Not for known one-line fixes, runtime review of deployed services, or PM bug triage.

How do I install this agent skill?

npx skills add https://github.com/adeonir/agent-skills --skill debug-tools
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill defines a structured debugging and logging workflow. It includes explicit instructions to avoid sensitive data exfiltration and provides a mechanism for cleaning up injected logs. The security posture is generally good, with the main identified risk being the inherent surface for indirect prompt injection when analyzing external codebases.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

  • Runlayerpass

    7 files scanned · No issues

  • ZeroLeakspass

    Score: 93/100 · 2 sections analyzed

What does this agent skill do?

Debug Tools

Iterative debugging workflow with flexible technique selection and escalation.

Triggers

  • Debug a bug ("debug this", "investigate", "trace issue", "fix bug", "why is X broken") → run the workflow below
  • Add debug logs ("add debug logs", "inject logs", "trace with logs") → enter at step 3
  • Cleanup logs ("remove debug logs", "cleanup logs") → enter at step 5
  • Pattern lookup ("debug patterns", "common bugs", "used to work") → enter at step 2

Workflow

investigate → fix → verify → done
  ^_______________________|  (max 3 attempts, then escalate)
  1. Load investigation.md and work its steps: understand the bug, analyze the code, enumerate hypotheses with confidence scores, rank them, propose a fix, verify, report. Enter at the step the current state calls for — a session already carrying evidence does not restart at Step 1.
  2. Load debugging-patterns.md when a symptom needs matching against a known bug shape, when analysis stalls and the broken code has to be diffed against a working example, or when the user reports that something used to work.
  3. Load log-injection.md when reading the code cannot show the mechanism and only observing the running system can. Not every session needs it.
  4. Fix and verify. Propose a fix only when the evidence names the mechanism; never as exploration. Run the reproduction after the fix is applied, and repeat it 3-5 times for a race condition or an intermittent bug.
  5. Load log-cleanup.md once the fix is verified, or on explicit request. Run it before changes go to version control.

A sensitive value never reaches an injected log — passwords, tokens, API keys, PII, session identifiers. This binds anywhere a log is added, including mid-investigation without step 3 loaded.

Anti-Pattern: Symptom Whack-a-Mole

Fixing the same symptom in multiple places signals an architectural issue, not a localized bug. When fix N introduces bug N+1, stop. The 4th attempt must escalate to architectural review: re-examine the abstraction, the missing layer, or the flawed assumption — not retry a deeper version of the same approach.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/adeonir/agent-skills/debug-tools">View debug-tools on skillZs</a>