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 agentmods add skills/vanterx/mssql-performance-skills/sqlindex-advisornpx skills add vanterx/mssql-performance-skills --skill sqlindex-advisorgit 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/sqlindex-advisor)<a href="https://agentmods.dev/skills/vanterx/mssql-performance-skills/sqlindex-advisor"><img src="https://agentmods.dev/badge/skills/vanterx/mssql-performance-skills/sqlindex-advisor.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 | $0.00189 | $0.07881 |
| Opus 5 | $0.00095 | $0.03941 |
| Sonnet 5 | $0.00038 | $0.01576 |
| Haiku 4.5 | $0.00019 | $0.00788 |
Grade A, and why
sqlindex-advisor 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 5d 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 — 659 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SQL Server Index Advisor Skill
Purpose
Produce a prioritized, ready-to-run CREATE INDEX script from three independent sources:
- Operator-derived recommendations — index opportunities inferred directly from plan operator patterns (Key Lookups, expensive scans, Sort operators, Eager Index Spools, high-count Nested Loops, residual predicates, heap scans, backward scans, filtered index candidates, hash match probe-side scans)
- Optimizer suggestions — the explicit
<MissingIndexGroup>elements SQL Server emits, consolidated and de-duplicated - DMV data —
sys.dm_db_missing_index_details+sys.dm_db_missing_index_group_statsoutput, which provides server-wide frequency data (UserSeeks × AvgQueryCost) unavailable in plan files
All sources feed into a single unified merge and ranking pipeline. The final output contains one CREATE INDEX statement per table group — not one per source.
Input
Accept any of:
- One or more
.sqlplanfile paths - Raw
.sqlplanXML pasted inline - A description of plan operators if XML is not available
- Output from
sys.dm_db_missing_index_details+sys.dm_db_missing_index_group_stats(Source C — no plan file required):
-- Capture server-wide missing index data (run on the target instance)
SELECT
mig.index_group_handle,
mig.index_handle,
migs.unique_compiles,
migs.user_seeks,
migs.user_scans,
migs.avg_total_user_cost,
migs.avg_user_impact,
ROUND(migs.avg_total_user_cost * migs.avg_user_impact * (migs.user_seeks + migs.user_scans), 2) AS weighted_impact,
mid.statement AS table_name,
mid.equality_columns,
mid.inequality_columns,
mid.included_columns
FROM sys.dm_db_missing_index_groups mig
JOIN sys.dm_db_missing_index_details mid
ON mig.index_handle = mid.index_handle
JOIN sys.dm_db_missing_index_group_stats migs
ON mig.index_group_handle = migs.group_handle
ORDER BY weighted_impact DESC;
sys.dm_db_missing_index_groups exposes only index_group_handle and index_handle — unique_compiles lives on sys.dm_db_missing_index_group_stats (migs), not on mig.
What ships with it
8 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.
- 5d ago First seen · 659 lines · 189 tokens per session scan A 30a6bcdcd1e4
sqlindex-advisor is a skill published in the GitHub repository vanterx/mssql-performance-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 189 tokens to every session and 7,881 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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