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 w8123/EnterpriseAgentFramework --skill reachai-onboardinggit clone --depth 1 https://github.com/w8123/EnterpriseAgentFrameworkWrote 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/w8123/enterpriseagentframework/reachai-onboarding)<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>- 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 | $0.00096 | $0.05172 |
| Opus 5 | $0.00048 | $0.02586 |
| Sonnet 5 | $0.00019 | $0.01034 |
| Haiku 4.5 | $0.00010 | $0.00517 |
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.
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 — 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-starterin the runnable Spring Boot application module. - Put
reachai-capability-sdkin modules that declare@ReachCapabilitymethods or DTO field metadata. @ReachCapabilityis method-level,@ReachParamis parameter/field-level, and@ReachOutputis field-only on response DTO fields. Do not put@ReachOutputon 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 eachinstallCommandTemplate, and runreachai-capability-sdkbeforereachai-spring-boot2-starter. The bundledscripts/install-java-sdk.ps1downloads 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
sdkArtifactsfor@reachai/embed-chat, extract this Skill zip anywhere, then run the expandedinstallCommandTemplatefrom the business frontend directory that containspackage.json. The bundledscripts/install-embed-chat.mjsverifiesintegritySha256, copies the tgz to the stable repo-localvendor/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 --forcealone does not prove that a same-version file dependency was refreshed.reachai-doctor --mode staticreportsEMBED_SDK_ARTIFACT_MATCH. Never runnpm installdirectly against a temporary Skill extract path, and never leave%TEMP%,.cursor,.traeor another machine-specific absolute path inpackage.json/ lockfiles. AuthenticateddownloadUrlneeds 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 usecd ai-admin-front && npm run build:sdkas the business-project install path. - Gateway checklist is a top-level
gatewayChecklistobject list on the onboarding manifest (id,description,required,verificationHint,failureImpact). Seereferences/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_ONBOARDINGtask may explicitly trigger exactly one audited SDK sync withPOST <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.
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.
- agents/openai.yaml 285 B
- artifacts/manifest-artifact.json 1.3 KB
- artifacts/reachai-embed-chat-1.0.0-SNAPSHOT.tgz 243 KB
- examples/gateway/kong/kong.yml 1.0 KB
- examples/gateway/nginx/reachai.conf 1.1 KB
- examples/gateway/README.md 1.1 KB
- examples/gateway/spring-cloud-gateway/application-reachai-gateway.yml 816 B
- examples/gateway/spring-cloud-gateway/ReachAiEmbedProxySecurity.java 1.0 KB
- references/angular-page-action.md 1.6 KB
- references/embed-chat-quick-reference.md 7.3 KB
- references/gateway-examples.md 3.3 KB
- references/java-sdk-access.md 30 KB
- references/java-sdk-api-reference.md 4.2 KB
- references/page-action-contract.md 3.9 KB
- references/page-action-mock.html 3.4 KB
- references/page-action-result.schema.json 1.3 KB
- references/platform-apis.md 22 KB
- references/security.md 2.5 KB
- scripts/install-embed-chat.mjs 8.3 KB runs code
- scripts/install-java-sdk.ps1 3.2 KB runs code
- scripts/reachai-doctor.mjs 25 KB runs code
- scripts/reachai-page-actions.ps1 3.2 KB runs code
- scripts/set-reachai-registry-secret.ps1 966 B runs code
- scripts/verify-reachai-access.py 3.2 KB runs code
- templates/angular/page-registry.example.ts 2.0 KB runs code
- templates/angular/reachai-page-action.service.ts 3.3 KB runs code
- templates/angular/reachai-page-action.types.ts 1.5 KB runs code
- templates/application-reachai.yml 1.3 KB
- templates/pom-dependencies.xml 310 B
- templates/reach-capability-example.java 818 B
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 · 140 lines · 96 tokens per session scan A 42ac0b6bebdc
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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