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 aliyun/alibabacloud-aiops-skills --skill alibabacloud-analyticdb-postgresql-ai-coaching-best-practicegit clone --depth 1 https://github.com/aliyun/alibabacloud-aiops-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/aliyun/alibabacloud-aiops-skills/alibabacloud-analyticdb-postgresql-ai-coaching-best-practice)<a href="https://agentmods.dev/skills/aliyun/alibabacloud-aiops-skills/alibabacloud-analyticdb-postgresql-ai-coaching-best-practice"><img src="https://agentmods.dev/badge/skills/aliyun/alibabacloud-aiops-skills/alibabacloud-analyticdb-postgresql-ai-coaching-best-practice/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/aliyun/alibabacloud-aiops-skills/alibabacloud-analyticdb-postgresql-ai-coaching-best-practice"><img src="https://agentmods.dev/badge/skills/aliyun/alibabacloud-aiops-skills/alibabacloud-analyticdb-postgresql-ai-coaching-best-practice.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 | $0.00155 | $0.05955 |
| Opus 5 | $0.00077 | $0.02978 |
| Sonnet 5 | $0.00031 | $0.01191 |
| Haiku 4.5 | $0.00015 | $0.00596 |
Grade C, and why
alibabacloud-analyticdb-postgresql-ai-coaching-best-practice scanned grade C with 2 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 9d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
> run `curl -fsSL https://aliyuncli.alicdn.com/setup.sh | bash` to update, Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
> run `curl -fsSL https://aliyuncli.alicdn.com/setup.sh | bash` to update, The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 9d ago First seen · 494 lines · 155 tokens per session scan C 7aa61dbecd37
alibabacloud-analyticdb-postgresql-ai-coaching-best-practice is a skill published in the GitHub repository aliyun/alibabacloud-aiops-skills (244 stars, last pushed yesterday), with no licence file. It adds 155 tokens to every session and 5,955 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
pgvector-semantic-search
Use this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search. Trigger when user asks to: Store or search vector embeddings in PostgreSQL Set up semantic search, similarity search, or nearest neighbor search Create HNSW or IVFFlat indexes for vectors…
postgres-hybrid-text-search
Use this skill to implement hybrid search combining BM25 keyword search with semantic vector search using Reciprocal Rank Fusion (RRF). Trigger when user asks to: Combine keyword and semantic search Implement hybrid search or multi-modal retrieval Use BM25/pgtextsearch with pgvector together Implement RRF (Reciprocal…
ai-vector-brain
Builds vector-brain implementations for repos, docs hubs, and compliance corpora. Use when creating pgvector retrieval brains with scripts, SQL, manifests, and evals.
vector-db-rag-expert
Expert guide for high-performance Vector Databases, Deep RAG architectures, pgvector 0.8+ HNSW, Reciprocal Rank Fusion (RRF), Cross-Encoder Re-ranking, and Late Chunking / Panduan ahli Vector DB, arsitektur Deep RAG, pgvector HNSW, RRF, dan Re-ranking.
postgres-semantic-search
PostgreSQL-based semantic and hybrid search with pgvector and ParadeDB. Use when implementing vector search, semantic search, hybrid search, or full-text search in PostgreSQL. Covers pgvector indexing, hybrid FTS/BM25 + RRF, ParadeDB, reranking, halfvec, multilingual search, query translation, and domain evals.…
laravel-vector-search
Use when implementing semantic/vector search in Laravel 13 with PostgreSQL + pgvector.