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 tmolavi/mcp-agent-skills-hub --skill alloydb-postgres-datagit clone --depth 1 https://github.com/tmolavi/mcp-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/tmolavi/mcp-agent-skills-hub/alloydb-postgres-data)<a href="https://agentmods.dev/skills/tmolavi/mcp-agent-skills-hub/alloydb-postgres-data"><img src="https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/alloydb-postgres-data/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/tmolavi/mcp-agent-skills-hub/alloydb-postgres-data"><img src="https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/alloydb-postgres-data.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 | $0.00037 | $0.01500 |
| Opus 5.5 | $0.00015 | $0.00600 |
| Sonnet 5.5 | $0.00007 | $0.00300 |
| Haiku 4.5 | $0.00004 | $0.00150 |
Grade A, and why
alloydb-postgres-data 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- cloud-sql-postgres-data — 88% identical, 208 lines differ
How it starts
The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Usage
All scripts can be executed using Node.js. Replace <param_name> and <param_value> with actual values.
Bash:
node <skill_dir>/scripts/<script_name>.js '{"<param_name>": "<param_value>"}'
PowerShell:
node <skill_dir>/scripts/<script_name>.js '{\"<param_name>\": \"<param_value>\"}'
Note: The scripts automatically load the environment variables from various .env files. Do not ask the user to set vars unless skill executions fails due to env var absence.
Scripts
execute_sql
Use this tool to execute a single SQL statement.
Parameters
| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| sql | string | The sql to execute. | Yes |
list_indexes
Lists available user indexes in the database, excluding system schemas (pg_catalog, information_schema). For each index, the following properties are returned: schema name, table name, index name, index type (access method), a boolean indicating if it's a unique index, a boolean indicating if it's for a primary key, the index definition, index size in bytes, the number of index scans, the number of index tuples read, the number of table tuples fetched via index scans, and a boolean indicating if the index has been used at least once.
Parameters
| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| schema_name | string | Optional: a text to filter results by schema name. The input is used within a LIKE clause. | No | `` |
| table_name | string | Optional: a text to filter results by table name. The input is used within a LIKE clause. | No | `` |
| index_name | string | Optional: a text to filter results by index name. The input is used within a LIKE clause. | No | `` |
| only_unused | boolean | Optional: If true, only returns indexes that have never been used. | No | false |
| limit | integer | Optional: The maximum number of rows to return. Default is 50 | No | 50 |
list_schemas
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.
- scripts/execute_sql.js 3.1 KB runs code
- scripts/list_indexes.js 3.1 KB runs code
- scripts/list_schemas.js 3.1 KB runs code
- scripts/list_sequences.js 3.1 KB runs code
- scripts/list_stored_procedure.js 3.1 KB runs code
- scripts/list_tables.js 3.1 KB runs code
- scripts/list_triggers.js 3.1 KB runs code
- scripts/list_views.js 3.1 KB runs code
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.
- 1mo ago First seen · 148 lines · 37 tokens per session scan A 9e1f924b18c7
alloydb-postgres-data is a skill published in the GitHub repository tmolavi/mcp-agent-skills-hub (8 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 1,500 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
backup-restore
PostgreSQL backup and restore with pgBackRest — full/incremental/WAL, PITR, K8s CronJob scheduling, and restore verification.
db-performance
PostgreSQL query performance — EXPLAIN ANALYZE, index design, pgstatstatements, slow query detection, connection pool tuning.
postgres-operations
PostgreSQL operational runbooks — health checks, vacuum, bloat, locks, PITR, connection pool management.
cockroachdb
Expert CockroachDB distributed SQL assistance covering global ACID transactions, Raft consensus, multi-region survivability, and geo-partitioning. Use when scaling relational PostgreSQL workloads across multiple clouds or regions.
cosmosdb
Expert Azure Cosmos DB assistance covering NoSQL API, partition key design, Request Units (RU/s) optimization, and change feed. Use when building globally distributed, multi-master Azure applications.
postgresql
Expert PostgreSQL assistance covering advanced SQL, JSONB, indexing (B-Tree, GIN, BRIN), query optimization with EXPLAIN ANALYZE, and replication. Use when designing robust relational schemas or tuning performance.