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Debug issue

Skill cristianorj22/arthus-harness/plugins/mcp-code-review-graph/claude/skills/debug-issue

Systematically debug issues using graph-powered code navigation (code-review-graph MCP). Companion to the `debugger` agent — graph navigation gives breadth, agent gives depth.From its SKILL.md

Install
npx -y skills add cristianorj22/arthus-harness --skill debug-issue

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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SKILL.md

1.4 KB, 277 tokens by cl100k_base, as published. Nobody here has run it

Debug Issue (graph-powered)

Use the knowledge graph to systematically trace and debug issues.

Steps

  1. Use semantic_search_nodes to find code related to the issue.
  2. Use query_graph with callers_of and callees_of to trace call chains.
  3. Use get_flow to see full execution paths through suspected areas.
  4. Run detect_changes to check if recent changes caused the issue.
  5. Use get_impact_radius on suspected files to see what else is affected.

Tips

  • Check both callers and callees to understand the full context.
  • Look at affected flows to find the entry point that triggers the bug.
  • Recent changes are the most common source of new issues.

Token Efficiency Rules

  • ALWAYS start with get_minimal_context(task="<your task>") before any other graph tool.
  • Use detail_level="minimal" on all calls. Only escalate to "standard" when minimal is insufficient.
  • Target: complete any review/debug/refactor task in ≤5 tool calls and ≤800 total output tokens.

Cross-link

  • Pairs with the debugger agent (4-phase systematic debugging). Agent does the thinking (5 Whys, root cause); this skill does the navigation (callers, flows, impact).

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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