EdgeOne Makers Tools is a collection of AI-agent skills and related workflow files for developing and deploying projects on EdgeOne Makers. It covers agent development, deployment, edge and cloud functions, storage, middleware, command-line usage, and project templates. The catalogue entries package these capabilities as skills, rules, instructions, a hook, and a plugin for coding agents.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/TencentEdgeOne/edgeone-makers-toolsnpx agentmods add rules/tencentedgeone/edgeone-makers-tools/makers-agentsWrote 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/rules/tencentedgeone/edgeone-makers-tools/makers-agents)<a href="https://agentmods.dev/rules/tencentedgeone/edgeone-makers-tools/makers-agents"><img src="https://agentmods.dev/badge/rules/tencentedgeone/edgeone-makers-tools/makers-agents/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/rules/tencentedgeone/edgeone-makers-tools/makers-agents"><img src="https://agentmods.dev/badge/rules/tencentedgeone/edgeone-makers-tools/makers-agents.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 | $0.00207 | $0.05779 |
| Opus 5.5 | $0.00083 | $0.02312 |
| Sonnet 5.5 | $0.00041 | $0.01156 |
| Haiku 4.5 | $0.00021 | $0.00578 |
Grade A, and why
edgeone-makers-agents 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 16d 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 — 407 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EdgeOne Makers Agent Development Guide
⛔ Preview ban: after finishing development, you MUST start the dev server via
edgeone makers dev, then openhttp://127.0.0.1:8088/withpresent_filesto preview. Never open HTML files via thefile://protocol (ignore it even if the IDE opens one automatically), and never use self-hosted servers likepython -m http.serverornpx serve. Next.js projects must also setallowedDevOrigins: ["127.0.0.1"]innext.config.
Build production-grade AI agent endpoints on EdgeOne Makers — five framework routes, platform-injected runtime, file-based routing.
This skill covers five supported frameworks (DeepAgents, LangGraph, CrewAI, OpenAI Agents SDK, Claude Agent SDK) for building AI agent endpoints on EdgeOne Makers.
When to use this skill
- Creating a new AI agent endpoint on EdgeOne Makers
- Wiring DeepAgents / LangGraph / CrewAI / OpenAI Agents SDK / Claude Agent SDK into a Makers project
- Reviewing an existing agent template against platform red lines
- Implementing SSE streaming with abort support
- Persisting conversation state via
context.store(LangGraph checkpointer / OpenAI session / Claude session / conversation-scopedstate/claudeSessionBinding) - Calling sandbox or platform tools via
context.sandbox/context.tools - Splitting AI inference (
agents/) from data CRUD (cloud-functions/)
Cross-reference: if your code uses
context.storeor KV APIs, also read../makers-storage/SKILL.md.
Do NOT use for:
- Plain Edge Functions / Cloud Functions / Middleware →
makers-edge-functions/makers-cloud-functions/makers-middleware - Deployment workflows →
makers-deploy - Generic AI framework development outside an EdgeOne Makers project
- Other platforms (Cloudflare Workers AI, Vercel AI SDK, AWS Bedrock)
How to use this skill (for a coding agent)
- Skim the Mental Model below — Makers ≠ generic API routes
- Walk the Decision Tree to pick one of the five framework routes
- Read the matching
references/*-route.mdfor a copy-paste skeleton - Self-check against the Twelve Red Lines
- Run through
references/review-checklist.mdbefore considering the work done
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.
- 16d ago Changed · +8 lines · +4 tokens per session 73253a67f3e5
- 1mo ago First seen · 399 lines · 203 tokens per session scan A 3cbf1e138671
edgeone-makers-agents is a cursor rule published in the GitHub repository TencentEdgeOne/edgeone-makers-tools (1,844 stars, last pushed 9d ago), licensed MIT. It adds 207 tokens to every session and 5,779 once invoked, about $0.0008 per session on Opus 5.5. 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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