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edgeone-makers-agents

This skill guides building AI agent endpoints on EdgeOne Makers — five framework routes (DeepAgents, LangGraph, CrewAI, OpenAI Agents SDK, Claude Agent SDK), platform-injected `context.store` / `context.tools` / `context.sandbox`, conversation_id dual-channel routing, SSE streaming, and `agents/` vs `cloud-functions/` separation. It should be used when the user wants to create or review an AI agent endpoint on EdgeOne Makers — e.g. "build an agent on EdgeOne Makers", "create a Claude agent endpoint", "wire LangGraph into Makers", "stream LLM responses with SSE", "review my agent template", "use context.store / context.sandbox / context.tools". Do NOT trigger for plain Edge Functions, Cloud Functions, or middleware (those don't run AI logic — use edgeone-pages-dev instead). Do NOT trigger for deployment workflows (use edgeone-pages-deploy). Do NOT trigger for generic AI framework development outside an EdgeOne Makers project.

73

Quality

92%

Does it follow best practices?

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SecuritybySnyk

High

Do not use without reviewing

SKILL.md
Quality
Evals
Security

Quality

Content

85%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is highly actionable with executable signatures, commands, and API shapes, and its SOPs are clearly sequenced with validation gates for risky deploy operations. Progressive disclosure is handled well via a routing table that signals verified, one-level-deep reference files. The main weakness is conciseness: some redundancy and meta-commentary could be trimmed without losing clarity.

Suggestions

Remove redundant passages to tighten conciseness: drop the 'This skill covers five supported frameworks…' restatement of the intro, delete the meta-note explaining the 12→13 red-line numbering jump, and consolidate the .env.example guidance so it appears once instead of in the Critical Rules, Environment Setup, and Pre-Deploy SOP sections.

Either link references/framework-native-patterns.md from the body or remove it from the bundle so every bundle file is reachable via the routing table and there is no orphan reference.

Consider moving the large inline edgeone.json field tables and the detailed environment-variable setup into a reference file (e.g. references/platform/env-and-model.md, which already exists) so the SKILL.md body stays a lean overview, strengthening progressive disclosure from a solid 3 toward fully clean separation.

DimensionReasoningScore

Conciseness

The body is mostly efficient and concrete, but contains redundancy: the line 'This skill covers five supported frameworks…' restates the intro, a Note explaining why red-line numbering jumps 12→13 is meta-commentary Claude doesn't need, and .env.example guidance is repeated across the Critical Rules, Environment Setup, and Pre-Deploy SOP sections. It avoids basic-concept padding (no 'what a PDF is' style), so it stays above level 1 but is not fully lean at level 3.

2 / 3

Actionability

Executable, copy-paste-ready guidance throughout: exact signatures ('export async function onRequest(context: any)', 'async def handler(ctx)'), concrete API shapes ('context.request.headers[\'x-custom-header\']', 'sandbox.runCode(...)', 'screenshot({ fullPage: true })'), and runnable commands ('PAGES_SOURCE=skills edgeone makers dev', 'edgeone makers env set <KEY> "<VALUE>"'), matching the top anchor for fully executable code and commands.

3 / 3

Workflow Clarity

Multi-step processes are clearly sequenced with validation checkpoints — the Reviewer SOP and Pre-Deploy SOP include explicit gates ('Do NOT deploy without confirming all required variables are set', 'Verify: edgeone makers env ls') and a fix-and-recheck loop ('When a violation is found, cite the matching Critical Rule + the remediation table'), with the deploy step gated on verification for a destructive operation.

3 / 3

Progressive Disclosure

The body acts as an overview with a clear 'Routing' table signaling one-level-deep references (e.g. references/platform/node-entry.md, references/node-frameworks/claude-sdk.md), and all 19 referenced files were verified to exist and are organized into platform/, capabilities/, node-frameworks/, and python-frameworks/ subdirectories; copy-paste skeletons correctly live in the references rather than inline. It is slightly heavier than a lean overview (~389 lines with inline env/SOP material) and one bundle file (framework-native-patterns.md) is unreferenced, which tempers it but does not drop it below level 3 given the strong signaling and split.

3 / 3

Total

11

/

12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is strong across all four dimensions: it names concrete capabilities, quotes natural trigger phrases users would say, explicitly states both what it does and when to use it, and reduces conflict with explicit anti-triggers. It uses appropriate third-person voice throughout.

DimensionReasoningScore

Specificity

Lists multiple concrete capabilities — 'five framework routes (DeepAgents, LangGraph, CrewAI, OpenAI Agents SDK, Claude Agent SDK)', 'platform-injected context.store / context.tools / context.sandbox', 'conversation_id dual-channel routing, SSE streaming' — matching the anchor for enumerating several specific actions.

3 / 3

Completeness

Explicitly answers both what ('guides building AI agent endpoints… five framework routes… platform-injected runtime') and when ('It should be used when the user wants to create or review an AI agent endpoint on EdgeOne Makers'), so it sits at the top anchor rather than the implied-when level 2.

3 / 3

Trigger Term Quality

Natural user phrasings are quoted directly — 'build an agent on EdgeOne Makers', 'create a Claude agent endpoint', 'wire LangGraph into Makers', 'stream LLM responses with SSE', 'review my agent template' — giving good coverage of terms a user would actually say.

3 / 3

Distinctiveness Conflict Risk

A clear EdgeOne Makers niche is paired with explicit negative triggers ('Do NOT trigger for plain Edge Functions, Cloud Functions, or middleware… use edgeone-pages-dev instead', 'Do NOT trigger for deployment workflows', 'Do NOT trigger for generic AI framework development'), making wrong-skill triggering unlikely.

3 / 3

Total

12

/

12

Passed

Validation

87%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 18 deeper-than-1-level

Warning

referenced_paths_exist

Referenced path issues: 18 deeper-than-1-level

Warning

Total

14

/

16

Passed

Repository
TencentEdgeOne/edgeone-makers-tools
Reviewed

Table of Contents

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