Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add 0x-Professor/Agent-Skills-Hub --skill web-database-validatorgit clone --depth 1 https://github.com/0x-Professor/Agent-Skills-HubWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/0x-professor/agent-skills-hub/web-database-validator)<a href="https://agentmods.dev/skills/0x-professor/agent-skills-hub/web-database-validator"><img src="https://agentmods.dev/badge/skills/0x-professor/agent-skills-hub/web-database-validator/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/0x-professor/agent-skills-hub/web-database-validator"><img src="https://agentmods.dev/badge/skills/0x-professor/agent-skills-hub/web-database-validator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00023 | $0.00307 |
| Opus 5 | $0.00012 | $0.00153 |
| Sonnet 5 | $0.00005 | $0.00061 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
web-database-validator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Web Database Validator
Objective
Validate schema and query quality after backend scaffolding, including migration sanity checks and performance guardrails.
Required Workflow
- Read
project-config.jsonand ORM schema files. - Run migrations in a local test database (Docker or in-memory SQLite for dry runs).
- 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)
- Seed realistic test data using Faker.js or Python Faker.
- Run query checks for row counts, relationships, and cascades.
- Output
db-validation-report.jsonwith pass/fail per check.
Execution
python skills/web-database-validator/scripts/database_validator.py --input <workspace> --output <out.json> --format json
References
references/tools.md
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 47 lines · 23 tokens per session scan A aa17cb83ea93
web-database-validator is a skill published in the GitHub repository 0x-Professor/Agent-Skills-Hub (10 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 23 tokens to every session and 307 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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