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.
git clone --depth 1 https://github.com/nimadorostkar/Claude-Skills-collectionWrote 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/plugins/nimadorostkar/claude-skills-collection/data)<a href="https://agentmods.dev/plugins/nimadorostkar/claude-skills-collection/data"><img src="https://agentmods.dev/badge/plugins/nimadorostkar/claude-skills-collection/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/plugins/nimadorostkar/claude-skills-collection/data"><img src="https://agentmods.dev/badge/plugins/nimadorostkar/claude-skills-collection/data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
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 3d 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
{
"name": "data",
"description": "Data — Databases, schema design, and the pipelines that move data around.",
"source": "./",
"strict": false,
"category": "data",
"skills": [
"./skills/data/data-modeling",
"./skills/data/data-quality",
"./skills/data/database-performance",
"./skills/data/pandas",
"./skills/data/postgres",
"./skills/data/spark"
]
}What it installs
The manifest is a name and a version. 6 skills travel with it, and installing the plugin installs all of them — 550 tokens a session between them. Each is measured on its own page, and each can be installed alone.
What ships with it
1 file beside marketplace.json#data 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.
- 3d ago First seen · 15 lines scan A da4f6a2b97c5
data is a plugin published in the GitHub repository nimadorostkar/Claude-Skills-collection (29 stars, last pushed 2d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-10-11.
Other plugins, from other repositories
pg-aiguide
PostgreSQL documentation and best practices through semantic search and curated skills, including TimescaleDB and Tiger Cloud ecosystem tools.
database-skill
Production Postgres survival skills: schema design, performant queries, safe migrations, connection pooling, autovacuum/bloat tuning, and advanced patterns (queues, partitioning, batched backfills).
django-safe-migration
Write, review, and rewrite Django migrations for PostgreSQL with zero-downtime guarantees. Covers two-file splits, AddIndexConcurrently, FK NOT VALID + VALIDATE, dbdefault for NOT NULL columns, and RunPython safety rules.
design-multi-tenant-saas
Tenant resolution, PostgreSQL RLS, tenant-aware constraints, and privileged access for multi-tenant SaaS systems.
db-whisperer
Query optimization, indexing, schema migrations.
casely
Virtual QA lead: turns requirements into TestRail-ready test cases in one conversation, plus a runnable Postman collection when the spec describes an API.