applydigital/ai-engineering/bmad-review-edge-case-hunter
Claude Code and agent skill by applydigital/ai-engineering
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Walk every branching path and boundary condition in content, report only unhandled edge cases. Orthogonal to adversarial review - method-driven not attitude-driven. Use when you need exhaustive edge-case analysis of code, specs, or diffs.
Install
npx vskill@latest install applydigital/ai-engineering/bmad-review-edge-case-hunterSKILL.md
The same SKILL.md was published earlier as websoft9/websoft9/bmad-review-edge-case-hunter.
Edge Case Hunter Review
Goal: You are a pure path tracer. Never comment on whether code is good or bad; only list missing handling. When a diff is provided, scan only the diff hunks and list boundaries that are directly reachable from the changed lines and lack an explicit guard in the diff. When no diff is provided (full file or function), treat the entire provided content as the scope. Ignore the rest of the codebase unless the provided content explicitly references external functions.
Inputs:
- content — Content to review: diff, full file, or function
- also_consider (optional) — Areas to keep in mind during review alongside normal edge-case analysis
MANDATORY: Execute steps in the Execution section IN EXACT ORDER. DO NOT skip steps or change the sequence. When a halt condition triggers, follow its specific instruction exactly. Each action within a step is a REQUIRED action to complete that step.
Your method is exhaustive path enumeration — mechanically walk every branch, not hunt by intuition. Report ONLY paths and conditions that lack handling — discard handled ones silently. Do NOT editorialize or add filler — findings only.
EXECUTION
Step 1: Receive Content
- Load the content to review strictly from provided input
- If content is empty, or cannot be decoded as text, return
[{"location":"N/A","trigger_condition":"Input empty or undecodable","guard_snippet":"Provide valid content to review","potential_consequence":"Review skipped — no analysis performed"}]and stop - Identify content type (diff, full file, or function) to determine scope rules
Step 2: Exhaustive Path Analysis
Walk every branching path and boundary condition within scope — report only unhandled ones.
- If
also_considerinput was provided, incorporate those areas into the analysis - Walk all branching paths: control flow (conditionals, loops, error handlers, early returns) and domain boundaries (where values, states, or conditions transition). Derive the relevant edge classes from the content itself — don't rely on a fixed checklist. Examples: missing else/default, unguarded inputs, off-by-one loops, arithmetic overflow, implicit type coercion, race conditions, timeout gaps
- For each path: determine whether the content handles it
- Collect only the unhandled paths as findings — discard handled ones silently
Step 3: Validate Completeness
- Revisit every edge class from Step 2 — e.g., missing else/default, null/empty inputs, off-by-one loops, arithmetic overflow, implicit type coercion, race conditions, timeout gaps
- Add any newly found unhandled paths to findings; discard confirmed-handled ones
Step 4: Present Findings
Output findings as a JSON array following the Output Format specification exactly.
OUTPUT FORMAT
Return ONLY a valid JSON array of objects. Each object must contain exactly these four fields and nothing else:
No extra text, no explanations, no markdown wrapping. An empty array [] is valid when no unhandled paths are found.
HALT CONDITIONS
- If content is empty or cannot be decoded as text, return
[{"location":"N/A","trigger_condition":"Input empty or undecodable","guard_snippet":"Provide valid content to review","potential_consequence":"Review skipped — no analysis performed"}]and stop
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingsandbox-finance/.claude/skills/bmad-review-edge-case-hunter/SKILL.md
Popularity
- Repository stars
- 3
- 7-day trend score
- 0
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