TXyy2023
Community submitted
fabrelay
FabRelay is an unofficial JLC China (嘉立创, jlc.com) CLI skill for PCB/Gerber upload, preview, manufacturing parameters, quotes, orders, login and QR login. Use fabrelay for website business workflows, human-confirmed balance payments, and Jia Xiaozhi; not schematic editing, local
Overview
FabRelay is an unofficial JLC China (嘉立创, jlc.com) CLI skill for PCB/Gerber upload, preview, manufacturing parameters, quotes, orders, login and QR login. Use fabrelay for website business workflows, human-confirmed balance payments, and Jia Xiaozhi; not schematic editing, local Gerber conversion, or overseas JLCPCB.
Read full documentation
Source documentation, not instructions for this website. Review permissions before running any commands.
FabRelay
通过业务 CLI 操作嘉立创中国站。这是非官方社区项目，没有嘉立创官方背书。常规流程使用命令；只有命令返回待接管时才操作它保留的 CDP 页面。
安装检查
项目旧名为 jlc-cli，当前命令为 fabrelay；不要把旧命令可用当作新 CLI 已安装。升级会兼容既有数据目录和登录状态，详见仓库 README。
执行任何业务命令前，先运行 fabrelay --version，成功后再运行 fabrelay --help。安装本 Skill 不会自动安装 CLI。
如果提示找不到命令（command not found / 无法识别），向用户说明 CLI 尚未安装或未加入 PATH，并提供项目仓库与安装说明。当前未发布到 npm，不要安装同名的第三方包。准备 Node.js 22.12 或更高版本、npm、Git 和 Google Chrome 后，可从源码安装：
git clone https://github.com/TXyy2023/FabRelay.git
cd FabRelay
npm ci
npm run build
npm pack
npm install -g ./fabrelay-1.0.0-dev.2.tgz
fabrelay --version
fabrelay --help
包名对应当前开发版本，版本变化时使用 npm pack 实际生成的文件名；已有源码目录时先核实路径，不覆盖用户的目录。安装后重新检查版本与帮助，再继续原任务。若命令存在但启动失败，报告实际错误并检查 Node.js 版本与 PATH，不把启动失败当作未安装而盲目重装。
开始
完成安装检查后，运行 fabrelay browser doctor --json 检查浏览器可用性。fabrelay skill path 返回随该 CLI 交付的 Skill，优先使用同版本说明。
首次使用先向人类呈现 fabrelay init --json 返回的初始化范围，取得明确同意后运行 fabrelay init --accept --confirmed-by human；也可由人类交互式运行 init。随后配置浏览器、发起登录并核实 auth status；扫码时向人类展示命令返回的当前二维码。登录完成以账号状态核实结果为准，不能只凭页面跳转或扫码动作。完成后可用 fabrelay account show --json 做一次查询。
当前实站流程显式使用 fabrelay browser configure --clear-endpoint --engine chrome。默认 Obscura 运行时已验证，但本轮真实客户中心 SPA 与登录 iframe 仍有兼容问题；不要把运行时可连接当作业务可用，也不要声称已自动切换浏览器。已有 CLI 自有会话切换引擎前先停止该会话，详见 浏览器与登录命令。
业务索引
| 需求 | 命令组与参考 |
|---|---|
| 安装发现、初始化、浏览器、账号配置、多方式登录、扫码、成功回调 | 命令与登录 |
| 上传/解析/预览、参数、报价、检查与建单 | PCB 工作流 |
| PCB/FPC 订单、余额付款、嘉小智 | 订单与付款 |
| JSON 状态、退出码、任务观察、CDP 接管、未知结果 | 结果与恢复 |
必须保留的决策边界
default：用户未决定的生产参数应询问。网站预选、上次配置及解析事实不自动变成用户选择。auto：先有用户让 Agent 帮助选填的意图，再按其约束建议并填写；说明依据，冲突时询问。模式标志本身不是授权。- 参数设置后读取实际生效值。网站更改或重置用户选择时报告差异，不能以流程能继续为由接受替换值。
- 上传、预览和报价不自动授权建立订单。用户已授权建单时先检查摘要，再明确提交，不把报价当作订单或付款。
- 每笔余额付款都须人类确认当前账号、订单、金额和支付方式。只有本次摘要确获人类明确同意后才能传入
--human-confirmed；不得伪造确认或修改本地确认记录。CLI 校验绑定、时效和一次性使用，标志本身不能证明对话事实。初始化、auto 和接管不能替代付款确认。 - 结果未知时先核实原任务和订单，不重新提交或付款。保持任务、文件、账号配置和页面对应关系；接管不能扩大已有业务授权。
只报告命令实际核实的结果。二维码交付、登录完成、解析完成、创建订单、已支付分别是不同状态。缺失字段不编造；站点脱敏信息不补全。可用能力与真实验收边界以当前 CLI 帮助和项目验收记录为准。
File metadata
name: fabrelay description: FabRelay is an unofficial JLC China (嘉立创, jlc.com) CLI skill for PCB/Gerber upload, preview, manufacturing parameters, quotes, orders, login and QR login. Use fabrelay for website business workflows, human-confirmed balance payments, and Jia Xiaozhi; not schematic editing, local Gerber conversion, or overseas JLCPCB. license: MIT metadata: repository: https://github.com/TXyy2023/FabRelay
View original text
--- name: fabrelay description: FabRelay is an unofficial JLC China (嘉立创, jlc.com) CLI skill for PCB/Gerber upload, preview, manufacturing parameters, quotes, orders, login and QR login. Use fabrelay for website business workflows, human-confirmed balance payments, and Jia Xiaozhi; not schematic editing, local Gerber conversion, or overseas JLCPCB. license: MIT metadata: repository: https://github.com/TXyy2023/FabRelay --- # FabRelay 通过业务 CLI 操作嘉立创中国站。这是非官方社区项目，没有嘉立创官方背书。常规流程使用命令；只有命令返回待接管时才操作它保留的 CDP 页面。 ## 安装检查 项目旧名为 `jlc-cli`，当前命令为 `fabrelay`；不要把旧命令可用当作新 CLI 已安装。升级会兼容既有数据目录和登录状态，详见仓库 README。 执行任何业务命令前，先运行 `fabrelay --version`，成功后再运行 `fabrelay --help`。安装本 Skill 不会自动安装 CLI。 如果提示找不到命令（`command not found` / 无法识别），向用户说明 CLI 尚未安装或未加入 PATH，并提供[项目仓库与安装说明](https://github.com/TXyy2023/FabRelay#快速开始)。当前未发布到 npm，不要安装同名的第三方包。准备 Node.js 22.12 或更高版本、npm、Git 和 Google Chrome 后，可从源码安装： ```sh git clone https://github.com/TXyy2023/FabRelay.git cd FabRelay npm ci npm run build npm pack npm install -g ./fabrelay-1.0.0-dev.2.tgz fabrelay --version fabrelay --help ``` 包名对应当前开发版本，版本变化时使用 `npm pack` 实际生成的文件名；已有源码目录时先核实路径，不覆盖用户的目录。安装后重新检查版本与帮助，再继续原任务。若命令存在但启动失败，报告实际错误并检查 Node.js 版本与 PATH，不把启动失败当作未安装而盲目重装。 ## 开始 完成安装检查后，运行 `fabrelay browser doctor --json` 检查浏览器可用性。`fabrelay skill path` 返回随该 CLI 交付的 Skill，优先使用同版本说明。 首次使用先向人类呈现 `fabrelay init --json` 返回的初始化范围，取得明确同意后运行 `fabrelay init --accept --confirmed-by human`；也可由人类交互式运行 `init`。随后配置浏览器、发起登录并核实 `auth status`；扫码时向人类展示命令返回的当前二维码。登录完成以账号状态核实结果为准，不能只凭页面跳转或扫码动作。完成后可用 `fabrelay account show --json` 做一次查询。 当前实站流程显式使用 `fabrelay browser configure --clear-endpoint --engine chrome`。默认 Obscura 运行时已验证，但本轮真实客户中心 SPA 与登录 iframe 仍有兼容问题；不要把运行时可连接当作业务可用，也不要声称已自动切换浏览器。已有 CLI 自有会话切换引擎前先停止该会话，详见 [浏览器与登录命令](references/commands.md)。 ## 业务索引 | 需求 | 命令组与参考 | | --- | --- | | 安装发现、初始化、浏览器、账号配置、多方式登录、扫码、成功回调 | [命令与登录](references/commands.md) | | 上传/解析/预览、参数、报价、检查与建单 | [PCB 工作流](references/pcb.md) | | PCB/FPC 订单、余额付款、嘉小智 | [订单与付款](references/orders-payment.md) | | JSON 状态、退出码、任务观察、CDP 接管、未知结果 | [结果与恢复](references/results-recovery.md) | ## 必须保留的决策边界 - `default`：用户未决定的生产参数应询问。网站预选、上次配置及解析事实不自动变成用户选择。`auto`：先有用户让 Agent 帮助选填的意图，再按其约束建议并填写；说明依据，冲突时询问。模式标志本身不是授权。 - 参数设置后读取实际生效值。网站更改或重置用户选择时报告差异，不能以流程能继续为由接受替换值。 - 上传、预览和报价不自动授权建立订单。用户已授权建单时先检查摘要，再明确提交，不把报价当作订单或付款。 - 每笔余额付款都须人类确认当前账号、订单、金额和支付方式。只有本次摘要确获人类明确同意后才能传入 `--human-confirmed`；不得伪造确认或修改本地确认记录。CLI 校验绑定、时效和一次性使用，标志本身不能证明对话事实。初始化、auto 和接管不能替代付款确认。 - 结果未知时先核实原任务和订单，不重新提交或付款。保持任务、文件、账号配置和页面对应关系；接管不能扩大已有业务授权。 只报告命令实际核实的结果。二维码交付、登录完成、解析完成、创建订单、已支付分别是不同状态。缺失字段不编造；站点脱敏信息不补全。可用能力与真实验收边界以当前 CLI 帮助和项目验收记录为准。
Review the source
Price & running costs
- Get the skill
- Price unconfirmed
- Run it
- Requirements have not been confirmed. Check the source for agent, API and service charges.
- License
- MIT
- Price unconfirmed
- We have not confirmed a price for this skill. Existing source and install links remain available.
Free to get does not mean free to run. Price labels are not safety ratings. Submit pricing information →
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Low GitHub adoption signal
- AI review approval is missing
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 0 GitHub stars
- Stars/forks activity: 0 stars, 0 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Review status: AI review approval is missing
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Start with one small task
- 1Read the source. Confirm the input, expected output, dependencies and permissions.
- 2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
- 3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Source & usage notes
IndexedStatic Checked
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
- Source repository
- TXyy2023/FabRelay
- License
- MIT
- Version
- Unknown
- Last GitHub push
- Sep 21, 2026
- Registry updated
- Sep 21, 2026
- Instruction path
- skills/fabrelay/SKILL.md @ 21bb678f489c
Version reported in registry metadata; check source releases before relying on it.
Quality
45/100
Needs review
Trust
58/100
Do not auto-install
Audit
68/100
Needs review
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Low GitHub adoption signal
- AI review approval is missing
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 0 GitHub stars
- Stars/forks activity: 0 stars, 0 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Review status: AI review approval is missing
- Verified installs
- —
- Outcomes
- —
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.
Agent access
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
More details
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"score": 0,
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"label": "Needs first agent run",
"summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
"metrics": {
"totalOutcomes": 0,
"successfulOutcomes": 0,
"failedOutcomes": 0,
"installAttempts": 0,
"installSuccessRate": null,
"successRate": null,
"recentSuccessRate": null,
"recentFailureRate": null,
"riskBlocked": 0,
"setupRequired": 0,
"notRelevant": 0,
"avgOutputQuality": null,
"avgTimeToUsefulMs": null,
"productionOutcomes": 0,
"humanReviewRequired": 0,
"uniqueAgents": 0,
"lastOutcomeAt": null
},
"signals": [],
"penalties": [
"No real agent outcome evidence yet"
]
},
"audit": {
"score": 68,
"risk_level": "needs_review",
"risk_label": "Needs review",
"warnings": [
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Low GitHub adoption signal",
"AI review approval is missing",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"GitHub adoption: 0 GitHub stars",
"Stars/forks activity: 0 stars, 0 forks; issue activity unavailable in current metadata"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 45,
"label": "Needs review"
},
"supply": {
"track": "Coding and developer agents",
"scenario": "Local desktop",
"maintenance": "12d since push",
"risk": "Needs review"
},
"alternative_skills": [],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"production agents without a repository review",
"Low GitHub adoption signal",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"AI review approval is missing",
"Quality score needs review"
],
"agent_contract": {
"task_input": "Use fabrelay in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 66/100 Manual review",
"Audit: 68/100 Needs review",
"Safety: 24/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "txyy2023-fabrelay-fabrelay (fabrelay)",
"install_command": "npx skills add TXyy2023/FabRelay --skill fabrelay",
"risk_summary": "Needs review; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "txyy2023-fabrelay-fabrelay",
"task": "Use fabrelay in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/txyy2023-fabrelay-fabrelay",
"api": "https://www.openagentskill.com/api/agent/skills/txyy2023-fabrelay-fabrelay",
"audit": "https://www.openagentskill.com/skills/txyy2023-fabrelay-fabrelay/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=txyy2023-fabrelay-fabrelay&task=Use%20fabrelay%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20fabrelay%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20fabrelay%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/txyy2023-fabrelay-fabrelay/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/txyy2023-fabrelay-fabrelay"
}
}For the creator
Listing source
Community submitted
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- TXyy2023
- Source
- TXyy2023/FabRelay
- Indexed by
- OpenAgentSkill community index
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