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 shennawardana23/skillme --skill postgres-hotel-partitioninggit clone --depth 1 https://github.com/shennawardana23/skillmeWrote 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/shennawardana23/skillme/postgres-hotel-partitioning)<a href="https://agentmods.dev/skills/shennawardana23/skillme/postgres-hotel-partitioning"><img src="https://agentmods.dev/badge/skills/shennawardana23/skillme/postgres-hotel-partitioning/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/shennawardana23/skillme/postgres-hotel-partitioning"><img src="https://agentmods.dev/badge/skills/shennawardana23/skillme/postgres-hotel-partitioning.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 | $0.00091 | $0.01098 |
| Opus 5.5 | $0.00036 | $0.00439 |
| Sonnet 5.5 | $0.00018 | $0.00220 |
| Haiku 4.5 | $0.00009 | $0.00110 |
Grade A, and why
postgres-hotel-partitioning 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.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PostgreSQL Hotel-Partitioned Tables
Many tables in this organization's PostgreSQL databases are partitioned by
hotel_id (declarative PARTITION BY LIST (hotel_id)). PostgreSQL's planner
only prunes partitions it can prove are irrelevant from the query's WHERE
clause at plan time — a query missing an explicit hotel_id predicate scans
every partition, not just the one relevant to the request. This is the
single most common correctness-and-performance bug against these tables:
apply the checks below to every query, join, and migration.
The core rule
Every query against a partitioned-by-hotel_id table must include
hotel_id = $N (or hotel_id = ANY($N) for a known, bounded set) directly in
its WHERE clause — not buried inside a subquery the planner can't push
down, not applied only in application code after fetching rows.
// BAD: no hotel_id predicate — scans every hotel's partition to find status matches.
const q = `SELECT * FROM reservations WHERE status = $1`
// GOOD: hotel_id is explicit, sits alongside the other predicate.
const q = `SELECT * FROM reservations WHERE hotel_id = $1 AND status = $2`
Always bind hotel_id as a parameter ($1, :hotel_id), never interpolate
it or any other value into the query string with fmt.Sprintf — that is a
SQL-injection vector independent of the partitioning concern.
Joins across partitioned tables
A join between two tables partitioned by hotel_id must filter hotel_id on
both sides (or rely on the same bound parameter for both), otherwise the
planner cannot prune either side:
-- GOOD: hotel_id constrained on both tables in the join.
SELECT r.id, g.name
FROM reservations r
JOIN guests g ON g.id = r.guest_id AND g.hotel_id = r.hotel_id
WHERE r.hotel_id = $1 AND r.status = $2;
Go query helpers
Prefer a thin wrapper that makes hotelID a required, typed parameter so it
cannot be forgotten at the call site — push the constraint into the
function signature rather than trusting every call site to remember it:
What ships with it
2 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.
- 1mo ago First seen · 113 lines · 91 tokens per session scan A dccad457d8c1
postgres-hotel-partitioning is a skill published in the GitHub repository shennawardana23/skillme (3 stars, last pushed 9d ago), licensed Apache-2.0. It adds 91 tokens to every session and 1,098 once invoked, about $0.0004 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 2026-09-03.
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