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SKILL verified Apache-2.0 Self-run

Web Database Validator

skill-0x-professor-agent-skills-hub-web-database-validator · by 0x-Professor

Validate database schema, migrations, indexes, and query behavior with structured pass/fail reporting.

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Install

$ agentstack add skill-0x-professor-agent-skills-hub-web-database-validator

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

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Reliability & compatibility

✓ Security review passed
0 installs to date
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○ 7mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Web Database Validator

Objective

Validate schema and query quality after backend scaffolding, including migration sanity checks and performance guardrails.

Required Workflow

  1. Read project-config.json and ORM schema files.
  2. Run migrations in a local test database (Docker or in-memory SQLite for dry runs).
  3. Validate:
  • foreign key constraints
  • indexes on foreign keys and hot query columns
  • N+1 query risk with query logs or explain plans
  • soft-delete fields where required
  • auto timestamps (created_at, updated_at)
  1. Seed realistic test data using Faker.js or Python Faker.
  2. Run query checks for row counts, relationships, and cascades.
  3. Output db-validation-report.json with pass/fail per check.

Execution

python skills/web-database-validator/scripts/database_validator.py --input  --output  --format json

References

  • references/tools.md

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.