verify — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited verify (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Verify competitive programming and LeetCode solutions for correctness through static analysis, automated test case generation, and execution.
CRITICAL: Complete ALL 4 phases. Do not stop after static analysis.
Goal: Extract the problem statement and solution code.
Parse $ARGUMENTS to extract:
If both are in $ARGUMENTS, separate them. The problem statement typically comes first, followed by the solution code in a code block or after a separator.
If the solution is a file path, read it:
Read [file_path]If the problem statement is missing, ask for it:
AskUserQuestion:
question: "Please provide the problem statement for verification. I need it to generate test cases and validate correctness."
options:
- label: "Paste problem text"
description: "Paste the full problem statement with constraints and examples"
- label: "Describe the problem"
description: "Describe what the problem asks — I'll generate test cases from that"If the solution code is missing, ask for it:
AskUserQuestion:
question: "Please provide your solution code to verify."
options:
- label: "Paste code"
description: "Paste your Python solution code"
- label: "Provide file path"
description: "Give the path to your solution file"If the solution is not Python, note this to the user and proceed with analysis (the verifier agent will handle language adaptation).
Goal: Delegate verification to the specialized agent.
Use the Task tool to spawn the solution-verifier agent:
Task:
subagent_type: "agent-alchemy-cs-tools:solution-verifier"
prompt: |
## Problem Statement
[full problem text with all constraints, I/O format, and examples]
## Solution Code[the user's solution code]
Perform full verification following your structured process:
1. Static analysis for logic errors and edge case handling
2. Generate test cases (basic, edge, stress)
3. Write and execute test harness
4. Compile report with verdictGoal: Collect and validate the agent's findings.
The agent returns a structured report containing:
Review the report for completeness. If the agent encountered infrastructure issues (test harness errors, not solution bugs), note this to the user.
Goal: Present the verification results with follow-up options.
Present the report to the user with clear formatting:
After presenting the report, offer follow-up actions:
AskUserQuestion:
question: "What would you like to do next?"
options:
- label: "Fix bugs and re-verify"
description: "I'll apply the suggested fixes and run verification again"
- label: "Show corrected solution"
description: "Generate a complete corrected solution using /solve"
- label: "Add more test cases"
description: "Generate additional test cases targeting specific scenarios"
- label: "Done"
description: "Verification complete, no further action needed"If the user selects "Fix bugs and re-verify":
If "Show corrected solution":
/solve with the same problem statement to get a fresh, verified solutionIf "Add more test cases":
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.