依据WCAG 2.2设计和检查Web、iOS及Android界面,核查读屏标签、键盘操作、配色对比度和操作目标尺寸,使界面支持辅助技术。
- 为纯图标按钮添加说明
- 检查键盘操作与模态框焦点
- 检查对比度与操作目标尺寸
通过临时隧道和无需外部工具的任务,验证本地代理API与远程沙箱之间的通信,检查任务完成情况、回答和本地日志,并确认网页应用恢复原有API连接。
Verify a local agent API, temporary gateway tunnel, and remote sandbox callback with a tool-free task, then restore the original app connection.
此技能将本地代理API、临时通信隧道和远程沙箱回调纳入同一验证流程。它运行一个无需外部工具的简短任务,确认任务完成,并核对回答是否符合预期。除了检查网关响应,还会查看本地API日志,确认通信确实到达本地API,最后恢复网页应用原有的API连接。
适合排查任务提交后停滞的问题,帮助确认原因是否涉及隧道或通信路径。也可用于检查测试结束后,网页应用是否仍连接着已停止的API。结果会整理成简短报告,说明API运行状态、回调、回答和连接恢复情况。
需要准备API和网页应用的启动步骤、路由、预期响应及认证信息等。公开隧道和更改连接前须确认授权,并在隔离的测试环境中操作。不得切换共享生产应用的连接,报告中不得包含认证信息或非公开日志。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 仅根据 SKILL.md 的内容,从 4 个方面进行了评估。星标数和热度不计入评估。
总分按每项 A=25 分、B=15 分、C=5 分相加。 由 AI(OpenAI Codex)于 2026年10月19日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
Use this workflow when an agent task runs in a remote sandbox that calls back to a local API through a gateway. It verifies the whole path without relying on connected tools or private production data.
If these inputs are unavailable, report the missing input instead of guessing an endpoint or using a real account.
Confirm authorization to expose the local test API through the selected tunnel provider, dispatch the test task, and temporarily change the web app route. Use an isolated local web app or test deployment; do not switch a shared production app as part of this smoke test. Keep tunnel access scoped to the required authenticated route.
Install cleanup before changing the route: on success, error, timeout, interruption, or cancellation, restore the recorded target and verify health before stopping the API and tunnel. Track only the process IDs or resources created by this test. If restoration fails, report it immediately and keep the evidence needed to recover; do not claim success.
401 or 403. Confirm the probe appears in the local API log; an edge response alone does not prove the API was reached.Example checks, with values supplied by the project:
curl --silent --show-error --output /dev/null --write-out '%{http_code}\n' "$LOCAL_API_HEALTH_URL"
curl --silent --show-error --output /dev/null --write-out '%{http_code}\n' "$PUBLIC_GATEWAY_PROBE_URL"
The first command should return the project's healthy status. The second should return the documented anonymous authentication status and appear in the local API log. Do not put a credential in either URL.
Run a separate test only after the tool-free task passes. Use an explicit test connection and grants. Report connection presence and actions granted as different facts. Do not infer that an empty action search means no app is connected. Do not execute a write action against a real account as a smoke test.
| Observation | Next check |
|---|---|
| Web page loads but API requests fail | Compare the configured API target with the listening process and restore the original route. |
Gateway probe gets a connection error or 404 | Check tunnel lifetime, route path, and local API health before dispatching a task. |
Gateway probe gets 401 or 403, but no local log entry | The response may come from the tunnel edge; verify the callback path. |
| Task stays queued or running | Check whether another dispatcher claimed it and whether the sandbox reached the local gateway. |
| Task finishes with the wrong answer | Capture the task status and redacted error; do not call the smoke test successful. |
Return a short report with:
Keep account details, credential values, personal paths, public tunnel URLs, and raw private logs out of the report. Keep the source operator notes local.
hermes-imports for sanitizing a local workflow before sharing it.agent-introspection-debugging when an agent run fails repeatedly.verification-loop after changing runtime code.还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
依据WCAG 2.2设计和检查Web、iOS及Android界面,核查读屏标签、键盘操作、配色对比度和操作目标尺寸,使界面支持辅助技术。
从指令、记忆、工具执行和界面显示等十二个层面排查人工智能代理故障,依据代码和日志梳理原因,按严重程度列出问题并提出修复方案。
用实际开发任务比较多个编程智能体,记录成功率、可获取的API费用、耗时和重复运行的稳定性,为工具选型及更新后的性能评估提供数据。
设计和调整AI智能体使用的工具、输入与返回格式,明确出错后的恢复、重试和停止条件,管理上下文信息量,并以完成率、重试次数和成功任务成本评估改进。
根据错误信息和执行环境,分析AI代理反复失败或重复操作的原因。通过小范围、可撤销的恢复操作检验假设,并将结果与依据整理成可供交接的报告。
在AI代理反复失败或重复操作时,记录错误与环境前提、排查原因,采取影响有限的恢复操作,并汇总结果和证据,为有依据的重试与交接提供支持。