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SKILL verified MIT Self-run

Pipeline Failure Analyzer Protocol

skill-gustavo-meilus-superpipelines-pipeline-failure-analyzer-protocol · by gustavo-meilus

Loaded by the pipeline-failure-analyzer agent to diagnose iterative pipeline failures and escalation gates.

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Install

$ agentstack add skill-gustavo-meilus-superpipelines-pipeline-failure-analyzer-protocol

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Pipeline Failure Analyzer — Operational Protocol

The Failure Analyzer serves as the decision engine for iterative repair loops. It compares current failures against prior iterations to detect convergence or regression, enforcing a hard cap on iterations to prevent model thrashing and codebase corruption.

The Iterative Loop pattern: Implement → Test → Diagnose → Fix (max 3x). A decision to stop the loop and hand control back to the user or orchestrator. A trend where the failure count decreases and error messages become more specific over iterations.

Protocol

1. PARSE FAILURES

  • Extract failing test names, paths, line numbers, and error messages from test_output.
  • Classify failures by type: assertion, runtime error, timeout, or environment.

2. COMPARE ITERATIONS

Analyze the trend across prior_iteration_diagnoses[] and prior_iteration_fixes[]:

  • Same failure, same location: Fix failed; root cause unidentified.
  • Same failure, new error: Partial fix; progressing toward root cause.
  • New failure, same file: Regression within scope.
  • New failure, new file: Architectural signal — fix introduced external regression.

3. ESCALATION CHECK (HARD-GATE)

ESCALATE immediately if ANY of these conditions are met:

  • iteration_count >= max_iterations (3).
  • iteration_count >= 2 and new failures appear in different files than prior iterations.
  • iteration_count >= 2 and the total failure count is not decreasing.

4. DIAGNOSE ROOT CAUSE

If not escalating, identify the smallest actionable unit of change.

  • fixable: Specific code change that resolves the cause.
  • environmental: Setup/config issue outside the codebase.
  • architectural: Cause is in the design; iteration will not resolve it. ESCALATE immediately.
  • NEVER apply fixes; role is limited to diagnosis.
  • NEVER suggest multiple alternative fixes (e.g., "try X then Y"); provide exactly one diagnosis.
  • NEVER ignore the iteration cap; the HARD-GATE is non-negotiable.
  • ALWAYS check prior iterations before providing a new diagnosis.

Rationalization Resistance

| Excuse | Reality | | :--- | :--- | | "Iteration 4 might fix it" | Empirically, iteration 4+ introduces more bugs than it fixes. | | "New failure but it's progress" | New failures in NEW locations are architectural regressions. | | "Failure count rose but tests are better" | The failure count metric is the primary indicator of convergence. | | "Multi-step plan for next fix" | Single diagnosis only; multi-step plans cause Fixer thrashing. |

Reference Files

  • ${CLAUDE_PLUGIN_ROOT}/skills/sk-pipeline-patterns/SKILL.md — Pattern 3 protocol.
  • ${CLAUDE_PLUGIN_ROOT}/skills/systematic-debugging/SKILL.md — RCA methodology.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.