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 Haohao-end/openagent --skill chatgpt-appsgit clone --depth 1 https://github.com/Haohao-end/openagentWrote 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/haohao-end/openagent/chatgpt-apps)<a href="https://agentmods.dev/skills/haohao-end/openagent/chatgpt-apps"><img src="https://agentmods.dev/badge/skills/haohao-end/openagent/chatgpt-apps/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/haohao-end/openagent/chatgpt-apps"><img src="https://agentmods.dev/badge/skills/haohao-end/openagent/chatgpt-apps.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 252 This pattern attempts to override system instructions or ignore safety constraints. Without LLM analysis, manual review is recommended.Fix: Remove or rewrite any text that instructs the agent to ignore prompts, override safety rules, or trust unverified content. Ensure skill content cannot be injected to alter agent behavior.
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 | $0.00096 | $0.04183 |
| Opus 5 | $0.00048 | $0.02091 |
| Sonnet 5 | $0.00019 | $0.00837 |
| Haiku 4.5 | $0.00010 | $0.00418 |
Grade A, and why
chatgpt-apps 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 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.
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.
Copies of this mod
2 near-identical copies found in the catalogue:
- chatgpt-apps — 100% identical, 0 lines differ
- chatgpt-apps — 91% identical, 41 lines differ
How it starts
The opening of the file, as written. The whole thing — 321 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ChatGPT Apps
Overview
Scaffold ChatGPT Apps SDK implementations with a docs-first, example-first workflow, then generate code that follows current Apps SDK and MCP Apps bridge patterns.
Use this skill to produce:
- A primary app-archetype classification and repo-shape decision
- A tool plan (names, schemas, annotations, outputs)
- An upstream starting-point recommendation (official example, ext-apps example, or local fallback scaffold)
- An MCP server scaffold (resource registration, tool handlers, metadata)
- A widget scaffold (MCP Apps bridge first,
window.openaicompatibility/extensions second) - A reusable Node +
@modelcontextprotocol/ext-appsstarter scaffold for low-dependency fallbacks - A validation report against the minimum working repo contract
- Local dev and connector setup steps
- A short stakeholder summary of what the app does (when requested)
Mandatory Docs-First Workflow
Use $openai-docs first whenever building or changing a ChatGPT Apps SDK app.
- Invoke
$openai-docs(preferred) or call the OpenAI docs MCP server directly. - Fetch current Apps SDK docs before writing code, especially (baseline pages):
apps-sdk/build/mcp-serverapps-sdk/build/chatgpt-uiapps-sdk/build/examplesapps-sdk/plan/toolsapps-sdk/reference
- Fetch
apps-sdk/quickstartwhen scaffolding a new app or generating a first-pass implementation, and check the official examples repo/page before inventing a scaffold from scratch. - Fetch deployment/submission docs when the task includes local ChatGPT testing, hosting, or public launch:
apps-sdk/deployapps-sdk/deploy/submissionapps-sdk/app-submission-guidelines
- Cite the docs URLs you used when explaining design choices or generated scaffolds.
- Prefer current docs guidance over older repo patterns when they differ, and call out compatibility aliases explicitly.
- If doc search times out or returns poor matches, fetch the canonical Apps SDK pages directly by URL and continue; do not let search failure block scaffolding.
What ships with it
5 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 · 321 lines · 96 tokens per session scan A c3a13a659ce2
chatgpt-apps is a skill published in the GitHub repository Haohao-end/openagent (805 stars, last pushed 1mo ago), licensed MIT. It adds 96 tokens to every session and 4,183 once invoked, about $0.0005 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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