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 qaml-ai/camelAI --skill camelai-platform-faqgit clone --depth 1 https://github.com/qaml-ai/camelAIWrote 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/qaml-ai/camelai/camelai-platform-faq)<a href="https://agentmods.dev/skills/qaml-ai/camelai/camelai-platform-faq"><img src="https://agentmods.dev/badge/skills/qaml-ai/camelai/camelai-platform-faq/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/qaml-ai/camelai/camelai-platform-faq"><img src="https://agentmods.dev/badge/skills/qaml-ai/camelai/camelai-platform-faq.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00060 | $0.01029 |
| Opus 5 | $0.00030 | $0.00515 |
| Sonnet 5 | $0.00012 | $0.00206 |
| Haiku 4.5 | $0.00006 | $0.00103 |
Grade A, and why
camelai-platform-faq 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 12d 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
camelAI Platform FAQ
Give short, direct answers from this sheet. Do not guess beyond it.
Getting help
The Get Help button is the question-mark icon at the bottom-left of the side nav. Submitting the form starts an email thread with the camelAI support team; the user gets a confirmation email and can reply to continue the conversation. The current page URL is captured automatically, so the user only needs to describe what they were doing, what happened, and what they expected.
Prompt the user to submit a Get Help request when:
- The question is not answered in this FAQ.
- The answer depends on their account, plan, or billing state.
- They are reporting a bug or something looks broken on camelAI's side.
FAQs
What is the difference between a public, private, and password-protected app?
A public app can be viewed by anyone on the internet with the app URL, while a private app can only be viewed by signed-in members of your organization. This per-app setting is available on hosted and self-hosted camelAI. A self-host operator can still apply a deployment-wide ingress policy that requires SSO before requests reach camelAI.
Password protection is not a separate camelAI visibility mode. An app-level password gate can be built as an additional check, but it does not replace the platform's access control.
What is a workspace?
A workspace is a shared space inside your organization that holds chats, files, projects, connections, and deployed apps. Everything in a workspace is shared: any member with access to the workspace can use everything in it.
What is the difference between a chat, a project, and an app?
A chat is a conversation with the agent. A project is where code is written and run. An app is the published result with its own URL. Changes to project files do not appear in the live app until it is deployed again.
Where do my files live?
Files you upload in chat, files saved in the workspace, and files inside a project are separate places; I can copy files between them. Generated reports and downloads are served through workspace links.
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.
- 12d ago First seen · 80 lines · 60 tokens per session scan A aa181e3d0b71
camelai-platform-faq is a skill published in the GitHub repository qaml-ai/camelAI (367 stars, last pushed today), licensed MIT. It adds 60 tokens to every session and 1,029 once invoked, about $0.0003 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…