Perform a structured check of your work to ensure it meets requirements before final submission.

Install

mkdir -p .claude/skills/verify-cwinvestments && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/10986" && unzip -o skill.zip -d .claude/skills/verify-cwinvestments && rm skill.zip

Installs to .claude/skills/verify-cwinvestments

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Use when the user says 'verify', 'check this work', 'does it pass', or before committing completed work.
104 chars✓ has a “when” trigger
Intermediate

Key capabilities

  • Runs automated build checks
  • Executes test suites
  • Performs manual requirement validation
  • Scans for common code issues

How it works

It runs a mandatory protocol of automated and manual checks to ensure work meets requirements before committing.

Inputs & outputs

You give it
Completed work
You get back
Verification report

When to use verify

  • Verifying task completion
  • Checking work before commit
  • Ensuring requirements are met

About this skill

✅ Verify — Checking Work...

Review completed work against requirements before committing.

Activation

When this skill activates, output:

✅ Verify — Checking work against requirements...

Then execute the protocol below.

Context Guard

ContextStatusPriority
User says "verify", "check this work", "does it pass"ACTIVE — run verificationP1
User says "is this done", "ready to commit"ACTIVE — run verificationP1
User is mid-task, still actively codingDORMANT — let them finish first
User asks to commit or pushDORMANT — Seal hook handles pre-push checks
User asks to review someone else's codeDORMANT — not a code review tool

Anti-Rationalization

If you're thinking any of these, STOP — you're about to skip the protocol:

You're thinking...Reality
"I already tested this manually"Ad-hoc testing leaves no record. Run the automated checks.
"This change is too small to verify"Small changes cause regressions. Run the full protocol.
"The build passed, so it's fine"Build passing ≠ requirements met. Always do the manual requirement check (Step 3).
"I'll just commit and fix issues later"Issues found after commit are 10x harder to fix. Verify first.
"There are no tests for this project"Skip automated tests, but ALWAYS do the manual requirement check and common issues scan.
"The user seems in a hurry"Shipping broken code wastes more time than verification takes.

Protocol

Step 1: Identify the Task

Determine what was being built by checking:

  • Recent conversation context (what the user asked for)
  • Git diff for uncommitted changes
  • Recent commits if already committed

Summarize: "Task: [what was being built/changed]"

Step 2: Run Automated Checks

Run whatever applies to the current project:

Build check:

# Detect and run the project's build command
npm run build    # Node.js
make build       # Makefile
python -m py_compile <file>  # Python

Test check:

# Detect and run the project's test command
npm test         # Node.js
pytest           # Python
make test        # Makefile

Lint check (if available):

npm run lint     # Node.js

If no build/test tooling exists, skip and note "No automated checks configured."

Step 3: Manual Requirement Check

Compare the completed work against the original requirements:

  • List each requirement from the original task
  • Check whether it was implemented
  • Flag any gaps, missing edge cases, or regressions

Step 4: Check for Common Issues

  • Uncommitted debug code: console.log, print(), debugger, TODO markers left behind
  • Hardcoded values: Magic numbers, hardcoded URLs, temp credentials
  • Missing error handling: Unhandled promises, missing try/catch at boundaries
  • Incomplete cleanup: Unused imports, dead code from earlier attempts

Step 5: Generate Report

## Verification Report
*{YYYY-MM-DD}*

### Task: {what was being built}

### Automated Checks
- [x] Build: passes / [ ] fails — {error}
- [x] Tests: passes / [ ] fails — {error}
- [x] Lint: passes / [ ] N/A

### Requirements
- [x] {Requirement 1} — implemented in {file}
- [x] {Requirement 2} — implemented in {file}
- [ ] {Requirement 3} — MISSING: {what's needed}

### Issues Found
1. {Issue} → {Suggested fix}

### Verdict: PASS / NEEDS FIX

Step 6: Recommend Action

  • PASS: "Looks good. Ready to commit."
  • NEEDS FIX: List specific fixes needed, prioritized by severity.

Inputs

  • Current working context (project, recent changes)
  • Original task requirements (from conversation or plan)
  • Git diff / status for change analysis

Outputs

  • Verification report with pass/fail checklist
  • Specific fix recommendations if issues found

Example Usage

User: "verify this work"

✅ Verify — Checking work against requirements...

## Verification Report
Task: Add user registration API endpoint

### Automated Checks
- [x] Build: passes
- [x] Tests: 14/14 passing
- [x] Lint: clean

### Requirements
- [x] POST /api/register endpoint — server/routes/auth.ts
- [x] Email validation — uses zod schema
- [x] Password hashing — bcrypt with salt rounds=12
- [ ] Rate limiting — MISSING: no rate limiter on registration endpoint

### Issues Found
1. No rate limiting on /api/register → Add express-rate-limit middleware

### Verdict: NEEDS FIX (1 issue)

Level History

  • Lv.1 — Base: Pre-commit verification with automated + manual checks, structured report output, framework-agnostic detection. (Origin: MemStack v3.1, Feb 2026)

When not to use it

  • When the user is mid-task
  • When the project lacks build/test tooling

Limitations

  • Requires project-specific tooling
  • Not a code review tool

How it compares

It enforces a structured verification protocol rather than relying on ad-hoc testing.

Compared to similar skills

verify side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
verify (this skill)04moReviewIntermediate
python-testing-patterns772moReviewIntermediate
dependency-upgrade265moReviewIntermediate
test-cases577moNo flagsBeginner

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Example prompts that trigger this skill in your AI assistant.

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