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 G1Joshi/Agent-Skills --skill openai-gptgit clone --depth 1 https://github.com/G1Joshi/Agent-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/g1joshi/agent-skills/openai-gpt)<a href="https://agentmods.dev/skills/g1joshi/agent-skills/openai-gpt"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/openai-gpt/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/g1joshi/agent-skills/openai-gpt"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/openai-gpt.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 | $0.00023 | $0.00374 |
| Opus 5 | $0.00012 | $0.00187 |
| Sonnet 5 | $0.00005 | $0.00075 |
| Haiku 4.5 | $0.00002 | $0.00037 |
Grade A, and why
openai-gpt 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 11d 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
OpenAI GPT
GPT (Generative Pre-trained Transformer) is the foundation of the modern AI revolution. In 2025, GPT-5 offers agentic capabilities, deep reasoning, and native multimodal integration.
When to Use
- General Purpose: It is the baseline for all AI tasks.
- Complex Reasoning: GPT-5 excels at multi-step logic and planning.
- Vision/Voice: Native "Omni" capabilities (GPT-4o/5) process audio and video with <300ms latency.
Core Concepts
Models
- GPT-5: The frontier model. Slow but smartest.
- GPT-4o: "Omni". Fast, multimodal, cheaper.
- o1 / o3: "Reasoning" models that "think" before answering (Chain of Thought).
Assistants API
Stateful API for building agents. Manages threads, retrieval (RAG), and code interpreter.
Structured Outputs
Guarantees JSON schema compliance for API responses.
Best Practices (2025)
Do:
- Use Structured Outputs: Always define a Zod/JSON schema for production apps.
- Use
o3-minifor Code: It is cheaper and often better at coding than GPT-4o. - Batch Requests: Use the Batch API for 50% discount on non-urgent tasks.
Don't:
- Don't use GPT-3.5: It is obsolete. Use GPT-4o-mini for cheap tasks.
References
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.
- 11d ago First seen · 47 lines · 23 tokens per session scan A 9d720c2660a2
openai-gpt is a skill published in the GitHub repository G1Joshi/Agent-Skills (12 stars, last pushed 7mo ago), licensed MIT. It adds 23 tokens to every session and 374 once invoked, about $0.0001 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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