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 vanterx/mssql-performance-skills --skill sqlag-reviewgit clone --depth 1 https://github.com/vanterx/mssql-performance-skillsWrote 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/vanterx/mssql-performance-skills/sqlag-review)<a href="https://agentmods.dev/skills/vanterx/mssql-performance-skills/sqlag-review"><img src="https://agentmods.dev/badge/skills/vanterx/mssql-performance-skills/sqlag-review.svg" alt="Measured on agentmods" 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 | $0.00188 | $0.08896 |
| Opus 5 | $0.00094 | $0.04448 |
| Sonnet 5 | $0.00038 | $0.01779 |
| Haiku 4.5 | $0.00019 | $0.00890 |
Grade A, and why
sqlag-review 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 727 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SQL Server Always On AG Configuration Review Skill
Purpose
Audit the configuration and design of one or more SQL Server Always On Availability Groups. Applies 37 checks (F1–F37) across seven categories:
- F1–F6 — Prerequisites and instance setup: AlwaysOn feature, database recovery model, endpoint state, endpoint encryption, failure condition level, version alignment across replicas
- F7–F13 — Replica configuration design: synchronous replica count, WAN session timeout, health check timeout, backup priority ties, replica join state, database join completeness, readable secondary availability
- F14–F18 — Listener and network design: multi-subnet IP completeness, read-only routing URL, routing list on primary, non-default port documentation, MultiSubnetFailover guidance
- F19–F23 — Backup strategy: automated backup preference, preferred-replica guard function, log backup scheduling, compression, and missed offload opportunity
- F24–F27 — Endpoint security: cross-domain Windows auth, certificate expiry, RC4 algorithm, firewall port gaps
- F28–F33 — Distributed AG and advanced features: listener URL requirement for distributed AGs, Basic AG limits, Contained AG auth, synchronous distributed link, cross-database dependencies
- F34–F37 — Operational monitoring: Extended Events AG session, listener IP conformance, AG database-count scale ceiling, automatic seeding left active during a manual-restore workflow
Scope distinction: This skill audits configuration correctness ("is the AG designed right?").
Use /sqlhadr-review (H1–H28) for runtime health ("is the AG healthy right now?") and
/sqlclusterlog-review (L1–L30) for WSFC cluster log events.
Input
Accept any of:
- File path — path to a saved text or CSV file containing the catalog view output
- Inline paste — query results pasted directly (tab- or pipe-delimited)
- Natural language description — description of the AG topology and any known issues
What ships with it
7 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.
- 7d ago First seen · 727 lines · 188 tokens per session scan A 1ac33e29a3eb
sqlag-review is a skill published in the GitHub repository vanterx/mssql-performance-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 188 tokens to every session and 8,896 once invoked, about $0.0009 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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