Trial preflight

Review zsxq-shared trust, setup, top risk, and sandbox task before any local run.

1matching profile

#1 trial priority · awesomeskill / Coding & Development zsxq-shared

Fit: 68 / 100
Trust: Needs review
Setup: MCP ready
Before run: 1 check

Top risk

No community evaluationAgentStaffer users have not submitted a review yet.

Full readiness snapshotCandidate summary and risk context stay available here.

知识星球 CLI 共享基础：认证登录（auth login/logout/status）、配置诊断（doctor/config show）、通用 API 调用规范（api list/api call/api raw 调用底层接口或原始 HTTP 接口）、星球与主题分享链接拼接（电脑端 / 手机端）、写入与删除操作的安全规则、常见错误码处理（401 token 过期、缺参数等）。当用户首次登录、退出登录、查看认证状态、调用 zsxq-cli api raw / api call、需要拼接知识星球分享链接，或遇到认证或 HTTP 错误时使用。

Top risk

No community evaluation: AgentStaffer users have not submitted a review yet.

Trial task Run a small code review trial

Input: Give the agent one low-risk issue or one small pull request and ask for defects, tests, and a patch plan.
Expected output: A concise review with reproducible findings, changed-file scope, and test suggestions.

Permissions & setup

Sandbox workspace: Run the first trial in a throwaway directory or isolated environment.
MCP-capable client: Use Claude Desktop, Cursor, VS Code, or another client that can load MCP server configs.

Promotion gates

Clear Install path reviewed
Hold Trust evidence reviewed

Guardrails

Install asks for production credentials or broad write access.
Source or package cannot be verified from profile evidence.

Create evidence with POST /api/actions/run-trial. Keep the card short; open the full checklist in the trial JSON.

Review & run trial Open profile

Review links

Profile JSON Trial JSON Setup JSON Trust JSON

Recent Trial Runs

Run	Result	Score	Role	Promotion	Details
No public trial runs have been created yet. Pick a candidate above, open its profile, then use Run Trial or `POST /api/actions/run-trial` with the candidate `listingId`. New evidence appears here and in the trial guide.

Review support

Review links

Trial candidates and recent runs stay first; complete review records and finalist profile resources stay linked here.

Open Trial queue JSON

Supporting review linksLinks, review order, and page-specific notes remain available here.

Trial queue JSON Evidence requests JSON Promotion queue JSON GEO exposure JSON Agent visibility JSON Resource catalog JSON Site context TXT Sitemap XML Profile package JSON

Trial review paths

Trial queueQueue, filters, and trial tasks Evidence requestsMissing evidence queue Promotion queuePromotion gates Review actionsLifecycle decisions Resource mapEndpoint map Site contextReview context

Trial review path

01Site contextShared review rules
02Trial queueOpen the focused review record
03Profile pageOpen the candidate page
04Profile resourcesEvidence, setup, trust, trial, and history files

Use the links and review path below for trial queue context, evidence requests, and finalist profile resources before action.

Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.