reachai-onboarding

reachai-onboarding is a skill for Codex from w8123/EnterpriseAgentFramework. It costs 96 tokens per session (5,172 once invoked), scanned A, original, MIT.

A guide for connecting a Java business application, typically built with Spring Boot, to ReachAI's AI platform.

In plain words
What is it for?
It helps add the ReachAI SDK or starter, configure registration and heartbeat messages, connect gateway or embedded access, and optionally hand work to API Management.
Why use it?
It explains how to register the application and its AI capabilities while keeping credentials and temporary task access separate and private.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit It helps add the ReachAI SDK or starter, configure registration and heartbeat messages, connect gateway or embedded access, and optionally hand work to API Management.

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Install with agentmods
npx agentmods add skills/w8123/enterpriseagentframework/reachai-onboarding
Install

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.

Any agent
npx skills add w8123/EnterpriseAgentFramework --skill reachai-onboarding
Clone the repo
git clone --depth 1 https://github.com/w8123/EnterpriseAgentFramework

Made for: Codex.

Wrote 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.

agentmods badge for reachai-onboarding

README.md
[![agentmods](https://agentmods.dev/badge/skills/w8123/enterpriseagentframework/reachai-onboarding.svg)](https://agentmods.dev/skills/w8123/enterpriseagentframework/reachai-onboarding)
Your own site
<a href="https://agentmods.dev/skills/w8123/enterpriseagentframework/reachai-onboarding"><img src="https://agentmods.dev/badge/skills/w8123/enterpriseagentframework/reachai-onboarding.svg" alt="Measured on agentmods" height="20"></a>
Per session 96 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,172 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00096 $0.05172
Opus 5 $0.00048 $0.02586
Sonnet 5 $0.00019 $0.01034
Haiku 4.5 $0.00010 $0.00517

Measured 9d ago against content hash 42ac0b6bebdc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

reachai-onboarding 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.

The scan reads SKILL.md. This mod also ships 9 executable files (scripts/install-embed-chat.mjs, scripts/install-java-sdk.ps1, scripts/reachai-doctor.mjs, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

reachai-control-service/src/main/resources/ai-assist/skills/reachai-onboarding/SKILL.md · 140 lines

How it starts

The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ReachAI Onboarding

Operating Rules

Treat the current business repository as the source of truth. Inspect its Maven modules, Java version, Spring Boot version, configuration files, existing controller/service boundaries, and test commands before editing.

凡是写入 ReachAI 或展示给业务用户的名称、标题、描述、说明、System Prompt、节点名称、审计原因、进度和结果,默认使用清晰的简体中文。不要仅因 API、Schema 或字段名为英文就生成英文业务文案。Token、MCP、AI、Agent、Supervisor、Workflow、Tool、API、SDK 等熟知专业术语,以及 keySlug、toolName、代码、路径、枚举值、协议字段和技术标识可保留英文;必要时使用“中文名称(英文术语)”。不要翻译或改写技术标识。

Never paste, print, or commit the registry app secret. Use the environment variable named by the manifest, normally REACHAI_REGISTRY_APP_SECRET.

ReachAI task handoffs use a one-time activation code. Activate it once, keep the returned short-lived task token only in the current process, and call /api/ai-coding/tasks/{taskId}/** with Authorization: Bearer <taskToken>. Never reuse a project-level aiCodingKey on task protocol routes.

Separate project/Workflow AI Coding APIs under /api/ai-coding/projects/** and /api/workflows/**/ai-coding/** can still use the explicit project aiCodingKey when the user independently supplies one. Send it as X-ReachAI-AiCoding-Key; never put it in a URL, browser bundle, task artifact, or progress event.

Prefer minimal, reviewable changes:

  • Add ReachAI dependencies only to the modules that need them.
  • Put reachai-spring-boot2-starter in the runnable Spring Boot application module.
  • Put reachai-capability-sdk in modules that declare @ReachCapability methods or DTO field metadata.
  • @ReachCapability is method-level, @ReachParam is parameter/field-level, and @ReachOutput is field-only on response DTO fields. Do not put @ReachOutput on methods.
  • Do not use the ReachAI platform base URL as a Maven repository or npm registry. Manifest/skill/self-check URLs are not Maven/npm repositories.
  • Unique recommended Java SDK install (no ReachAI source checkout): read the absolute Java entries in the onboarding manifest's sdkArtifacts, expand {skillExtractDir} in each installCommandTemplate, and run reachai-capability-sdk before reachai-spring-boot2-starter. The bundled scripts/install-java-sdk.ps1 downloads the declared JAR and standalone consumer POM, verifies both declared SHA-256 values, and installs that exact coordinate into the business system's Maven local repository. Fail if a URL or hash is absent or mismatched; do not guess another URL and do not require access to the ReachAI repository.
  • Unique recommended Embed SDK install (no ReachAI source checkout): read sdkArtifacts for @reachai/embed-chat, extract this Skill zip anywhere, then run the expanded installCommandTemplate from the business frontend directory that contains package.json. The bundled scripts/install-embed-chat.mjs verifies integritySha256, copies the tgz to the stable repo-local vendor/reachai/ directory, replaces the exact installed package directory, and records .reachai-artifact-sha256. Re-run this installer whenever a SNAPSHOT artifact checksum changes; npm install --force alone does not prove that a same-version file dependency was refreshed. reachai-doctor --mode static reports EMBED_SDK_ARTIFACT_MATCH. Never run npm install directly against a temporary Skill extract path, and never leave %TEMP%, .cursor, .trae or another machine-specific absolute path in package.json / lockfiles. Authenticated downloadUrl needs auth headers that npm cannot send, so prefer this Skill-bundled installer.
  • Do not invent dependency download paths such as /repository/**, /maven/**, /repository/maven/**, /api/embed/sdk, or /npm/**. Do not use cd ai-admin-front && npm run build:sdk as the business-project install path.
  • Gateway checklist is a top-level gatewayChecklist object list on the onboarding manifest (id, description, required, verificationHint, failureImpact). See references/java-sdk-access.md.
  • Avoid changing unrelated business logic, package structure, formatting, or dependency versions.
  • SDK onboarding must not scan or sync business APIs on application startup. After compile, registration and heartbeat succeed, an active ReachAI PROJECT_ONBOARDING task may explicitly trigger exactly one audited SDK sync with POST <taskRoot>/verifications/SDK_SYNC; the task token scopes that operation to its own project. The equivalent console action remains API Management(API 管理)手动触发的 SDK 同步. Restrict both paths to business-owned packages and never include framework, platform, third-party, starter, or shared infrastructure controllers as business APIs.

Read the full file on GitHub · 140 lines

Files

What ships with it

30 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.

Changes

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.

  1. 9d ago First seen · 140 lines · 96 tokens per session scan A 42ac0b6bebdc

Subscribe to this mod's changes

reachai-onboarding is a skill published in the GitHub repository w8123/EnterpriseAgentFramework (718 stars, last pushed 8d ago), licensed MIT. It adds 96 tokens to every session and 5,172 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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