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/fortiumpartners/ensemble/using-openai-platformnpx skills add FortiumPartners/ensemble --skill using-openai-platformgit clone --depth 1 https://github.com/FortiumPartners/ensembleWrote 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/fortiumpartners/ensemble/using-openai-platform)<a href="https://agentmods.dev/skills/fortiumpartners/ensemble/using-openai-platform"><img src="https://agentmods.dev/badge/skills/fortiumpartners/ensemble/using-openai-platform.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 | $0.00044 | $0.03074 |
| Opus 5 | $0.00022 | $0.01537 |
| Sonnet 5 | $0.00009 | $0.00615 |
| Haiku 4.5 | $0.00004 | $0.00307 |
Grade A, and why
using-openai-platform 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 — 463 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenAI SDK Development Skill
Quick Reference
OpenAI SDK development with Python and TypeScript/JavaScript clients. Covers GPT-5 family models, Chat Completions API, Responses API, embeddings, tool calling, and streaming.
Progressive Disclosure: This file provides quick reference patterns. See REFERENCE.md for comprehensive API coverage, advanced patterns, and deep dives.
Table of Contents
- When to Use
- GPT-5 Model Family
- Quick Start
- Chat Completions API
- Responses API (Next Gen)
- Tool Calling
- Embeddings
- Error Handling
- Platform Differentiators
- Further Reading
- Context7 Integration
When to Use
This skill is loaded by backend-developer when:
openaipackage inrequirements.txtorpyproject.tomlopenaiinpackage.jsondependencies- Environment variables
OPENAI_API_KEYpresent - User mentions "OpenAI", "GPT", or "ChatGPT" in task
GPT-5 Model Family
Model Selection Guide
| Model | Context | Best For | Cost |
|---|---|---|---|
gpt-5.2 |
400K | Flagship - coding, agentic, multimodal | $1.75/$14 |
gpt-5.2-pro |
400K | Maximum reasoning (xhigh effort) | $21/$168 |
gpt-5.1 |
256K | Stable, previous generation | $1.50/$12 |
gpt-5.1-codex |
256K | Long-running coding tasks | $1.50/$12 |
gpt-5 |
128K | General purpose | $1.25/$10 |
gpt-4o |
128K | Fast, cost-effective | $2.50/$10 |
gpt-4o-mini |
128K | Cheapest, simple tasks | $0.15/$0.60 |
Costs per 1M tokens (input/output). Cached input: 50-90% discount.
Quick Selection
Simple chat/Q&A -> gpt-4o-mini
Standard tasks -> gpt-4o or gpt-5
Complex reasoning -> gpt-5.1 with reasoning_effort="high"
Coding/agentic -> gpt-5.2 or gpt-5.1-codex
Maximum intelligence -> gpt-5.2-pro with reasoning_effort="xhigh"
What ships with it
23 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.
- examples/.gitkeep 0 B
- examples/agent.example.py 25 KB runs code
- examples/async-client.example.py 16 KB runs code
- examples/basic-chat.example.py 5.8 KB runs code
- examples/embeddings.example.py 9.8 KB runs code
- examples/multi-turn.example.py 18 KB runs code
- examples/README.md 9.3 KB
- examples/responses-api.example.py 14 KB runs code
- examples/streaming.example.py 8.9 KB runs code
- examples/structured-output.example.py 17 KB runs code
- examples/tool-calling.example.py 12 KB runs code
- README.md 6.6 KB
- REFERENCE.md 106 KB
- templates/.gitkeep 0 B
- templates/agent.template.py 7.2 KB runs code
- templates/chat-completion.template.py 4.5 KB runs code
- templates/chat-completion.template.ts 4.4 KB runs code
- templates/embeddings.template.py 9.2 KB runs code
- templates/README.md 7.2 KB
- templates/responses-api.template.py 7.9 KB runs code
- templates/streaming.template.py 5.7 KB runs code
- templates/tool-calling.template.py 14 KB runs code
- VALIDATION.md 9.5 KB
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 · 463 lines · 44 tokens per session scan A 415f18220969
using-openai-platform is a skill published in the GitHub repository FortiumPartners/ensemble (11 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 3,074 once invoked, about $0.0002 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 2026-08-30.
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