对照HuggingFace router的模型列表与chat-ui配置,研究尚未收录的模型,编写简短英文说明,并同步添加到生产和开发配置。
- 添加路由中新上线的模型
- 用简短说明概括模型特点
- 同步更新生产和开发环境的模型信息
将有明确验收条件的独立任务交给远程工作者并行处理,查看进度、暂停或失败情况,再按原始要求逐项核验成果。单次运行显示完成,并不代表结果正确。
Discover and run bounded remote dynamic workflows with Ruflo mod policy, worker inspection and independent acceptance gates
实测评分 未实测
查看安装方法此技能会把包含独立工作项且有明确验收条件的任务,作为受管理的远程工作流程来执行。开始前,它会整理工作范围、源提交、输出格式、期限、预算、允许访问的网络主机以及独立验收测试,再按照主机策略分配工作者。执行期间,它会查看工作者事件、暂停和失败情况。结束后,它会依据原始资料和要求逐项核验成果。经过核验的结果可以连同签名和依据记录为学习证据。
当您要并行开展互相独立的调查或实现工作、查看远程工作的进度并检查成果时,可以使用此技能。您也可以用它明确委托工作的预算和权限范围。仅仅因为存在远程工具,并不意味着需要把简单任务拆开。
此技能需要 Ruflo 的受管理代理功能,以及主机已允许的设置。请勿在提示中放入凭据或 MCP 令牌。运行状态显示完成并不能证明结果正确,因此需要独立核验。还须依据主机策略检查远程服务是否可用、权限和预算是否符合要求。
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 根据 SKILL.md 的内容检查了需要注意的操作和使用前提。评分只依据实际运行的结果(实测对比)。
不计入评分。 由 AI(OpenAI Codex)于 2026年10月25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 for remote Claude tasks with independent pieces and explicit acceptance
tests. Use wasm-agent for local isolated work, and ruflo-workflows for
persisted approval gates or native workflow scripts. Do not turn a simple task
into remote fanout just because tools are registered.
managed_agent_capabilities. Registration, configured credentials,
provider beta access, tool authorization and remote health are separate facts.
A configured credential is not proof of access. Never infer remote readiness./agent-mod capabilities and the workflow mod provides
/wf-mod managed. These commands list tools without making provider calls.
Dynamic creation through the agent mod is off by default. Existing user
authorization takes precedence; do not introduce another confirmation when
the task already authorizes bounded execution.managedWorkflows, maxBudgetCents and
allowInlineAgents settings. Do not disable policy to bypass a refusal.
Default maximum is 2500 US cents. Inline agents are off by default, requiring
predefined agents whose tools were reviewed separately. In flight work can
exceed a provider budget. This is local creation admission, not a global
organization spending ceiling or a policy for externally created sessions.dynamicWorkflows: true, budgetCents, exact allowedHosts,
and appropriate predefinedAgents. Save resource IDs. Send one scoped task
asking for inventory, parallel work, independent reproduction and synthesis.
Workers share files; require separate worker outputs and serialize patches.managed_agent_events. A run ending completed never proves correctness.
Observation timeout does not stop remote work. Interrupt requests a pause;
terminate confirms session deletion. Clean up only owned resources.The console's Mods page shows the agent mod's creation policy, cap, inline setting and counters. It does not establish cloud run state. This skill grants no additional tool, network, credential, memory or release authority.
Use the console Workflows, Cost, Approvals and Learning pages to inspect managed
runs. Snapshots are staleable local observations and never authorize actions.
Use managed_agent_control for fresh policy checked inspect/interrupt/terminate;
the host must separately allow the exact session. Never pass an approval flag.
Before a repeated task, ask managed_agent_learning for a recommendation in the
exact task/policy/evaluator scope. It is advisory and cannot expand budget,
worker permissions, network access or default models. After independent host
verification, record the closed outcome and host Ed25519 signature. Unknown or
unsigned observations stay quarantined. Never request the verifier private key.
Use index/recall only for authenticated training evidence; preserve reported
backend/embedding failures. Use evaluate on a frozen, disjoint heldout manifest
with three or more trials before treating a strategy as eligible. Eligibility
never grants promotion, deployment or configuration writes.
After the host verifier has tested and signed outcomes, use managed_agent_learning action=cycle with a closed cycle object: scope, at most 24 evidence records, optional index, maxP95Ms and evaluation (manifest, baselineId, candidateId). One atomic batch precedes bounded native indexing and advisory evaluation. Replays preserve attempt identity. Never place commands, keys, approval or promotion flags in a cycle. A failed later phase can leave the signed batch persisted; inspect status and retry the same evidence rather than inventing new attempts. This is an explicit feedback step, not automatic task execution.
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对照HuggingFace router的模型列表与chat-ui配置,研究尚未收录的模型,编写简短英文说明,并同步添加到生产和开发配置。
为技术选型和设计决策创建ADR文档,沿用现有文件的连续编号,生成模板并登记到AgentDB,同时为找到的相关历史决策添加链接和依赖关系。
读取记录架构决策及其原因的ADR,创建并更新搜索索引和依赖关系图。支持两种文档格式,并汇总引用与状态的不一致情况。
删除ADR设计决策记录或关系信息后,清空并重建索引,移除残留的旧条目,再核对当前文件数与索引记录数是否一致;也可预览重建内容而不作更改。
将代码差异与记录已采纳设计决策的ADR进行核对,整理违反决策、引用过时记录及缺少相关记录的变更,并提出代码修正或决策调整建议。
检查已保存的架构决策记录(ADR),报告失效引用、替代关系中的循环和状态不一致问题,适合导入后的校验与发布前的数据检查。