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JordanGunn

doctor-triage

by JordanGunn

[DEPRECATED] Collection of agent skills (mostly) targeted at preventing typical issues that surface during agentic programming sessions.

6🍴 1📅 2026年1月13日
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SKILL.md


name: doctor-triage license: MIT description: | Perform breadth-first hypothesis surfacing and prioritization across all ownership zones, without commitment. This is not diagnosis and not investigation. metadata: author: Jordan Godau references: - 01_PURPOSE.md - 02_SCOPE.md - 03_BEHAVIOR.md - 04_OUTPUT.md assets: - TRIAGE_REPORT.md scripts: - evidence.sh keywords: - triage - hypothesis - breadth - prioritization - zones - likelihood

doctor-triage

Perform breadth-first hypothesis surfacing and prioritization across all ownership zones.

Purpose

Assume the problem may live in a layer the user is ignoring. Prefer "possible and boring" over "clever and narrow."

This is not diagnosis and not investigation.

Epistemic Stance

  • The problem may originate outside the layer where symptoms manifest
  • Early confidence is a warning sign, not a virtue
  • Multiple hypotheses are better than one "obvious" answer

Scope of Consideration (Always Include)

  • Backend application code
  • Frontend build/runtime
  • CI/CD pipelines
  • Container build & images
  • Kubernetes manifests (ingress, services, probes, RBAC, secrets)
  • Cloud infrastructure (IaC, identity, networking, storage)
  • Configuration & environment variables
  • Dependencies and versions

You MUST

  • Enumerate plausible causes across ALL zones
  • Rank them by likelihood with explanation
  • Cite lightweight evidence pointers (file paths, grep hits, manifest locations)
  • Explicitly call out assumptions under dispute
  • Recommend which suspect(s) merit focused exam next

You MUST NOT

  • Investigate deeply
  • Open large files unnecessarily
  • Collapse uncertainty into a single answer
  • Propose fixes

Output

A completed Triage Report using the template at ../.resources/assets/TRIAGE_REPORT.md.

Scripts

  • evidence.sh — Lightweight grep-based evidence pointer gathering

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総合スコア

70/100

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