alibabacloud-ros-agent

Use Alibaba Cloud ROS Agent through its StartChat API for remote infrastructure conversations. Trigger when the user explicitly asks for the ROS Agent, its StartChat API, or a remote iac-code conversation through Alibaba Cloud. Supports normal and selling Pipeline conversations, questions, candidate selection, correlated permission approval or denial, and explicit StopChat cancellation. Do not trigger for ordinary Alibaba Cloud infrastructure work that can use the local iac-code Skill, or for unrelated ROS API operations.

Use the bridge at scripts/ros_agent.py. Its default code transport uses the Alibaba Cloud Credentials SDK default credential chain and Tea OpenAPI V3 signing to send ROS RPCs directly and consume StartChat SSE incrementally. The bridge never reads credential environment variables or credential values from Profile files itself. A Profile explicitly pinned by local policy is delegated to the Credentials SDK Profile provider and is exclusive: it never falls back to the default chain or another Profile. Credentials exist only inside the SDK-backed request path and are never accepted as bridge arguments, persisted in job state, or returned. An optional dependency-free transport invokes the ROS CLI plugin's start-chat and stop-chat commands. Run the bridge with python3 on macOS/Linux or py -3 on Windows.

Required interaction contract

Visible narration is part of completing this workflow, not optional styling. Internal reasoning/thinking, a tool description, raw tool output, and the wording of a user question are not substitutes for a user-visible assistant text block. Keep each update concise—normally one to three sentences in the user's language. An update and the following tool call may be in the same assistant response, so do not pause merely to narrate.

Use these stage gates:

• After loading this Skill and before the first operational tool call, acknowledge the infrastructure task, identify Normal or Pipeline mode, and state the immediate next phase.
• After check succeeds and before local prompt preparation or start, report that readiness passed and what ROS Agent will work on next. Do not expose commands, Profile details, or opaque IDs.
• Whenever bridge JSON has presentationRequired: true, the next assistant response must begin with a user-visible text block before any further tool call. For every boundaryReached result, emit every ready-to-display userUpdates string—even after earlier Pipeline updates; skipping a repeated stage gate and going directly to Bash is a protocol violation. For followTimedOut, show the heartbeat without claiming completion. For turn-completed, present the authoritative finalText and relevant artifacts before starting another action or asking a follow-up question.
• Before asking the user to confirm a deployment, present the proposed architecture as a fenced Mermaid diagram after the deployment summary. The confirmation question must come after the diagram; tool output or an unrendered diagram field does not satisfy this gate. Follow the architecture rules below.
• When input is required, first explain in a separate visible update what has completed, what ROS Agent is waiting for, and why the answer is needed; then ask the question with every returned option intact using an interaction method appropriate to the host. For permissions, include the safe action, target, and permissionClass; for pendingPermissions, state how many independent Sub Pipeline steps are waiting. End the agent turn without choosing for the user.
• After the user answers a question, selects a candidate, or allows/denies a permission, begin the next assistant response by acknowledging the choice and saying that ROS Agent is resuming, then call continue or respond. Before sending any later natural-language request such as a change or cleanup through continue, similarly state what the same ROS Agent session will do next.
• On completion or failure, present the authoritative result or concise sanitized error immediately. Do not dump raw JSON, event counts, correlation IDs, or the full prior milestone history, and do not repeat already presented progress.

Do not call TodoWrite, Task, or another planning tool merely to track this managed workflow. The preserved jobId and cursor are its state; report progress directly to the user instead.

While a Pipeline has wireState: TASK_STATE_WORKING, follow is the only observation operation. This remains true after permission-responded and when a cursor has not advanced. Never invoke or offer continue as a retry, poll, nudge, or way to unstick a Pipeline: it sends a real natural-language interrupt. Present a returned heartbeat and keep following; if the bridge reports state: failed, present that error rather than inventing a recovery message.

Prerequisites

The selected credential must be allowed to call ros:StartChat. Explicit cancellation additionally requires ros:StopChat; it is not required for an ordinary completed conversation. The default code transport requires the packages pinned in scripts/requirements.txt to be installed for the Python interpreter that runs the bridge. The Credentials SDK default chain or explicitly pinned Profile provider resolves the effective identity without bridge-level credential parsing. The aliyun_cli transport has no Python package dependency. Its local execution mode requires the installed CLI and a ROS plugin that provides start-chat and stop-chat; its remote execution mode uses the host's same-name aliyun command as an externally managed executor. Run the bridge check once before the first StartChat call:

text

python3 <absolute-bridge-path>/ros_agent.py check

The bounded JSON result includes the effective transport, aliyunCLIExecutionMode, endpoint, Agent modes, Thinking policy, configured Profile policy, effective region when locally available, and only non-secret credential metadata. cli and version are null when the code transport does not need the CLI. In unpinned code mode, mode: DefaultCredentialChain means the Credentials SDK resolved the identity without bridge-level credential parsing. In local CLI mode, rosPluginReady, pluginAutoInstallEnabled, and pluginInstallRequired describe plugin readiness. If and only if pluginInstallRequired is true, visibly report that the required ROS CLI plugin is being installed, run exactly aliyun plugin install --name ros, and then rerun check; never add a version, package URL, mirror, or source override. If the plugin is absent but CLI automatic plugin installation is enabled, pluginInstallRequired is false and the first start-chat invocation may install it. In remote CLI mode, check deliberately does not run CLI management commands or inspect local Profiles/plugins; it reports only the configured forwarded environment names and which names are currently present, never their values.

Use the check result as the sole readiness source. Except for the one local-mode plugin install command directed by pluginInstallRequired, never run aliyun configure, aliyun plugin, or other discovery/management commands, enumerate profiles, or read Alibaba Cloud CLI configuration files yourself. The check deliberately excludes credential values and does not prove that a token is still accepted by ROS; the StartChat response is authoritative for authentication and authorization failures.

The returned transport is installation policy, not an Agent choice. In an AgentHub-managed ephemeral runtime, if check returns sdk_not_installed, use the same Python interpreter to install only the exact bundled dependencies from scripts/requirements.txt into that ephemeral runtime, without sudo or system changes, and then rerun check once. This readiness repair does not authorize a transport change, alternative tooling, or credential access. If installation, the repeated check, or any other readiness check fails, report the exact error and stop. Never edit config.json, propose or attempt another transport, pass a transport override, or fall back to aliyun_cli to bypass the failure. Only the user or installation administrator may change this policy outside the infrastructure task, after which a new check is required.

Add --aliyun-path <path> to check or start only when the effective credential path requires native aliyun CLI and it is not on PATH; the managed job preserves it for later requests. Use the returned credential source and region without asking the user to choose a Profile. Omit --profile unless the user explicitly supplied a Profile and local policy did not pin one; never try to override aliyunCLIProfile. Never pass credentials on the command line, put them in prompt files, or expose CLI configuration.

Optional local policy

The bridge reads an optional config.json beside this SKILL.md. If it is absent, the transport defaults to code, the endpoint defaults to ros.aliyuncs.com, both Agent modes are allowed, Thinking is enabled, the Credentials SDK default chain selects the effective identity, and the temporary loopback manager exits 60 seconds after the last SSE worker and manager request become idle. The file accepts these settings:

json

{
  "transport": "code",
  "endpoint": "127.0.0.1:56124",
  "allowedAgentModes": ["normal", "pipeline"],
  "managerIdleSeconds": 60,
  "enableThinking": true,
  "aliyunCLIProfile": ""
}

When transport is aliyun_cli, add "aliyunCLIExecutionMode": "local" or "remote"; do not add that field to a code transport configuration.

• transport accepts exactly code or aliyun_cli. code is the default: it delegates identity resolution to the Credentials SDK default chain unless a Profile is explicitly pinned, in which case the SDK Profile provider owns resolution and refresh. It signs and sends StartChat or StopChat to the configured endpoint while exposing SSE events as they arrive. aliyun_cli is the dependency-free path and invokes only the ROS plugin's validated start-chat and stop-chat operations. SDK imports are lazy and never occur in aliyun_cli mode. There is no silent fallback between transports or from a pinned Profile to the default chain.
• aliyunCLIExecutionMode accepts exactly local or remote, defaults to local, and is valid only with transport: "aliyun_cli". local uses the native local CLI, Profile, and plugin installation. remote treats the same-name aliyun executable as a host-provided executor whose routing and execution mechanism is outside the bridge contract; the bridge may invoke only aliyun ros start-chat and aliyun ros stop-chat, never CLI management or another API operation. Remote mode does not read or pass a local Profile, does not infer a local region, rejects aliyunCLIProfile, and requires a public *.aliyuncs.com endpoint. All prompt and response payloads are passed inline; never pass a file-backed CLI parameter to the remote command.
• aliyunCLIForwardEnv is valid only for remote CLI execution and accepts at most 16 unique, non-secret environment variable names. It defaults to []; each remote implementation must list any required names explicitly in config.json. Every foreground start, continue, respond, or cancel captures current values and replaces stale manager-inherited values for the launched operation. Values are never persisted or returned. The bridge does not prescribe how a remote CLI implementation uses these variables.
• endpoint fixes the ROS endpoint for every StartChat and StopChat request in a managed job. A conflicting --endpoint is rejected, so do not try to override this local policy. Public endpoints must be *.aliyuncs.com hostnames. For local integration tests only, localhost:<port> and 127.0.0.1:<port> are accepted; both transports use HTTPS and skip certificate verification only for those loopback addresses.
• allowedAgentModes is a non-empty allowlist containing normal, pipeline, or both. Do not invoke or suggest a mode excluded by this list.
• managerIdleSeconds is an integer from 1 through 86400. It defaults to 60. The countdown starts only when no StartChat SSE worker is running—including a concurrent Sub Pipeline permission-response worker—and is refreshed by each manager request; after exit, any managed command starts a new manager automatically while preserving job state.
• enableThinking is a boolean and defaults to true. It fixes EnableThinking for the whole managed job; do not pass --no-thinking or try to override it per request.
• aliyunCLIProfile is an empty or exact CLI Profile name and defaults to empty. In code mode, empty uses the Credentials SDK default chain. A non-empty value pins that Profile for code transport or local CLI execution and fails instead of falling back when the Profile is unavailable. It is invalid in remote CLI execution. Do not pass a conflicting --profile.

Unknown fields, invalid values, and duplicate modes fail closed. Never edit config.json during an infrastructure task or store credentials in it; it is an administrator/user installation policy.

Managed StartChat workflow

1. Put the complete user request in a UTF-8 prompt file inside the target workspace. Run start with the shell process working directory set to that target workspace while invoking the resolved bridge script by its absolute path. Never change into the Skill directory or copy prompt, answer, or permission files there merely to satisfy workspace validation.

2. Start a normal managed job from the target workspace. The bridge uses its process working directory only for local prompt-file isolation; it never sends a workspace or cwd field to StartChat:

   text

   python3 <absolute-bridge-path>/ros_agent.py start --prompt-file <prompt-file> --mode normal --follow
   

   Pass --region-id only when the user explicitly supplied a region. Otherwise the bridge uses the first supported region environment variable, then an explicitly pinned Profile region, then cn-hangzhou; do not query CLI configuration to fill it. Use --mode pipeline only when the user explicitly wants the candidate-architecture, cost-comparison, confirmation, and deployment Pipeline. Thinking is installation policy from config.json, not an Agent choice. Forward underspecified infrastructure requirements to ROS Agent as written so its own ask_user_question can gather them.

3. Preserve the returned jobId and newest cursor. A temporary authenticated loopback manager owns the job, and a detached worker keeps the selected StartChat transport open after the outer tool call returns. In the default code transport, each SSE event is projected as it arrives. --follow returns at every step start, step completion/failure, input boundary, completed turn, terminal state, or its bounded wait window so the user can see the Pipeline progressing. A result can contain multiple ordered userUpdates when events were already queued, and can also contain inputRequired or a terminal result; present all updates first, then handle that result without an extra drain-only follow.

4. When the result has boundaryReached: true, present every userUpdates string to the user, then immediately follow from the returned cursor:

   text

   python3 <absolute-bridge-path>/ros_agent.py follow --job-id <jobId> --cursor <cursor> --wait-seconds 60
   

   Follow waits at most 120 seconds even if a larger value is requested. If it returns followTimedOut: true, present its heartbeat as a visible status update and call follow again with the newest cursor. A timeout never stops the background worker or sends a new StartChat query.

5. For every natural-language follow-up, answer to ask_user_question, or candidate_selection, write a new prompt file and continue the same job:

   text

   python3 <absolute-bridge-path>/ros_agent.py continue --job-id <jobId> --prompt-file <prompt-file> --follow
   

   Do not invent a SessionId; the job binds the remote session, mode, endpoint, region, Profile, and workspace. When a completed Pipeline returns normalHandoffReady: true or conversationMode: normal, its next user message is a Normal chat turn reached through this same continue command and jobId; the bridge intentionally keeps the StartChat mode while the remote A2A context performs the handoff. Never replace that handoff with start --mode normal. Do not start a new job merely to continue the same task.

6. Only when the user explicitly asks to stop or cancel the active ROS Agent operation, cancel that same managed job:

   text

   python3 <absolute-bridge-path>/ros_agent.py cancel --job-id <jobId>
   

   This invokes the ROS StopChat OpenAPI through the job's selected transport; it does not send a StartChat query or a natural-language cancellation message. Present the returned status immediately. Stopped means cancellation completed, Stopping means it was accepted and the existing job should be observed with follow from its current cursor, and NoActiveStream means there was no active remote stream to stop. Never call cancel merely because follow timed out, a local tool call was interrupted, or the outer Agent turn ended.

Without a configured endpoint, the bridge defaults to ros.aliyuncs.com. Use --endpoint <ROS endpoint> only when the user's ROS region or network requires a different endpoint and config.json does not fix one. The code transport sends a generic ROS RPC with API version 2019-09-10 and ACS3-HMAC-SHA256 signing, so it does not depend on generated StartChat metadata. The aliyun_cli transport uses the installed/remote ROS plugin's published start-chat and stop-chat commands and does not bypass plugin validation. Both transports identify every StartChat and StopChat request with the user-agent segment AlibabaCloud-Agent-Skills/alibabacloud-ros-agent.

Architecture before deployment confirmation

Immediately before any create/update deployment confirmation, render one compact mermaid flowchart showing the resources that would be deployed and their material relationships. This is presentation work by the outer Agent and does not require another StartChat query.

Use only authoritative data already returned for the current plan, in this order:

1. A non-empty architectureDiagram returned by ROS Agent.
2. The current ROS/Terraform template artifact. If the result exposes a local artifact sourcePath and the returned summary is insufficient, read only that artifact; do not inspect manager state, worker logs, or unrelated files.
3. finalText, deploymentSummary, candidate details, and other bounded result fields.

For Normal mode, derive the diagram from declared resources and explicit template references or dependencies. For Pipeline mode, render the selected candidate's returned diagram and ensure it still matches the plan being confirmed. Label nodes with user-meaningful resource types or names, group network containment when explicit, and show only relationships supported by the source. Use distinct Mermaid IDs for containers and resource nodes. Keep cloud scopes accurate: an Alibaba Cloud VPC is regional, while a VSwitch belongs to a zone, so put the VSwitch inside the VPC and include its zone in the VSwitch label rather than placing the VPC inside a zone. Collapse large repeated groups to keep the diagram readable. Never invent resources, connections, public exposure, zones, or dependencies. If relationships are unavailable, show a resource inventory diagram without speculative edges and briefly state that the returned plan did not describe the missing relationships.

Present the deployment summary, fenced Mermaid block, and confirmation question in that order. Do not ask for confirmation first and add the diagram afterward. A later permission prompt may summarize the same plan without regenerating the diagram if the proposed architecture has not changed; if it has changed, render the updated diagram before seeking confirmation again.

Optional context and images

With the code transport only, use --client-context-file <json-file> for a JSON object accepted by StartChat. Keep this file inside the workspace and exclude secrets. The bridge rejects common credential-bearing keys at any nesting depth; if rejected, remove the sensitive fields and never retry with copied Profile or credential data. The ROS CLI plugin does not expose ClientContext, so the bridge rejects this option for both local and remote aliyun_cli execution.

Use --attachments-file <json-file> for up to five OSS-backed images. The file must be a JSON array such as:

json

[
  {
    "Type": "image",
    "MimeType": "image/png",
    "Name": "architecture.png",
    "OssObjectKey": "user/workspace/architecture.png"
  }
]

The bridge also accepts lower camel case and snake case field names. Do not use local paths, inline image bytes, or secret-bearing URLs. StartChat V2 currently supports image/png, image/jpeg, image/webp, and image/gif OSS objects.

Interpret the result

Stdout is one bounded JSON object; diagnostics belong to stderr.

• state: turn-completed: present finalText and artifacts as the authoritative normal-turn result.
• state: input-required: present the prompt, safe action details, and every option from inputRequired. Treat correlation fields as bridge-owned opaque data; do not copy or rewrite them. For ask_user_question or candidate_selection, send the user's answer with continue on the same jobId.
• For candidate_selection, show every option's label, summary, totalMonthlyCost, and costItems. Render each non-empty architectureDiagram as its own fenced mermaid block before asking the user to choose; never leave the diagram as escaped JSON or only inside tool output.
• A permission in inputRequired includes permissionClass: normal for a Normal conversation or pipeline for a top-level Pipeline permission. A permission in pendingPermissions uses sub_pipeline.
• pendingPermissions contains every currently visible Sub Pipeline step permission. Present them separately; multiple candidate steps may wait for permission at the same time.
• For a terminal Pipeline, present pipelineResult and artifacts as the authoritative deployment conclusion. normalHandoffReady: true or conversationMode: normal means later operations must continue this job as Normal chat. Do not claim success from milestones alone.
• state: failed: report the sanitized error; preserve requestId when present for support.
• milestones contains bounded Pipeline progress. Show useful step boundaries without treating them as final output.
• boundaryReached: true means the result contains transient progress at a step start, completion, or failure. Present every userUpdates entry in order. If the same result also contains inputRequired, turn-completed, or a terminal state, handle it immediately; otherwise call follow again with the returned cursor.
• wireState preserves the last A2A task state for diagnosis. A normal turn may end with wire state TASK_STATE_INPUT_REQUIRED without an input envelope; the bridge reports that case as turn-completed, matching the remote agent's conversational boundary.

The event classes have different execution behavior:

• ask_user_question and candidate_selection are business input. The selling Pipeline's top-level scheme confirmation is candidate_selection, not a tool permission. Answer both with continue on the same jobId. For candidate_selection, the prompt file must contain only the exact chosen options[].id returned by the current envelope (for example 1), with no label, explanation, deployment request, or surrounding sentence; this avoids the Pipeline interpreting the answer as an unrecognized selection and asking again.
• Never call respond for ask_user_question or candidate_selection, even if their envelope contains inputId, requestTaskId, or other correlation fields. Put the user's selected option and any parameter choices in a natural-language prompt file and call continue.
• A Normal conversation permission has permissionClass: normal. It serially pauses the task with TASK_STATE_INPUT_REQUIRED.
• A top-level Pipeline tool permission has permissionClass: pipeline. It serially pauses the parent Pipeline and its agent loops with TASK_STATE_INPUT_REQUIRED. This is distinct from candidate_selection.
• A Sub Pipeline step permission has permissionClass: sub_pipeline. It is sideband: the parent task remains TASK_STATE_WORKING, and multiple candidate steps may have independent pending permissions.

Approve or deny a permission

Do not answer a permission with natural language or create a permission JSON file. The managed job already owns the exact correlation identifiers. When exactly one permission is waiting, call respond with only the job and the user's decision:

text

python3 <absolute-bridge-path>/ros_agent.py respond --job-id <jobId> --decision <allow_once|deny> --follow

If multiple pendingPermissions are waiting, keep each returned permissionRef associated with the action shown to the user and include only the selected short reference:

text

python3 <absolute-bridge-path>/ros_agent.py respond --job-id <jobId> --permission-ref <permissionRef> --decision <allow_once|deny> --follow

Never type, copy, reconstruct, transform, or save requestTaskId, contextId, inputId, or toolUseId. Do not use a shell or another script to extract inputRequired; respond resolves those fields atomically from the current job. Without --permission-ref, it fails closed if more than one permission is waiting. A supplied reference must match exactly one still-pending permission.

The job preserves its original mode and validates the permission class. When the user has already made an explicit allow_once or deny decision, execute respond in that same agent turn. Do not stop after merely announcing that you will run it.

The bridge selects the pending permission under the job lock, retrieves its original correlation identifiers, and sends the same fixed marker and compact payload as the complete StartChat Query:

text

IAC_CODE_PERMISSION: {"schemaVersion":1,"kind":"permission","requestTaskId":"<requestTaskId>","contextId":"<contextId>","inputId":"<inputId>","toolUseId":"<toolUseId>","decision":"<allow_once|deny>"}

The JSON portion has this schema:

json

{
  "schemaVersion": 1,
  "kind": "permission",
  "requestTaskId": "<requestTaskId>",
  "contextId": "<contextId>",
  "inputId": "<inputId>",
  "toolUseId": "<toolUseId>",
  "decision": "<allow_once|deny>"
}

permissionRef is a short local selector and is never sent to StartChat. Do not add client context or attachments to a permission response. The iac-code A2A server checks the exact IAC_CODE_PERMISSION: prefix before decoding JSON, then validates the full payload against an active pending permission. Missing or altered prefixes, extra fields, surrounding text, mismatched context, stale identifiers, and conflicting replies fail closed.

The three permission classes share this one StartChat respond command, but resume differently:

• normal: serial. The StartChat stream that exposed the permission ends naturally. respond uses the same correlated ROS Agent session and returns the resumed output on its new stream.
• pipeline: while resident, the original parent Pipeline StartChat stream stays alive. respond uses ROS active Pipeline reentry only to deliver the correlated decision; resumed progress remains on the parent stream. If permissionWait.status is suspended, the parent stream has ended and respond recovers the same task from its durable boundary on the new stream.
• sub_pipeline: sideband. Correlation identifies the waiting candidate step while the parent task remains TASK_STATE_WORKING; multiple pending step permissions must be answered separately. The bridge keeps the original parent StartChat SSE worker alive and starts a separate concurrent StartChat worker for each response. That response stream ends after its acknowledgement; it never takes ownership of, drains, or replaces the parent stream. After acknowledgement, another pending permission can become inputRequired; otherwise follow continues observing the original parent worker until its next Pipeline boundary.

permissionResponse records the bounded correlation payload sent by the bridge. For a live Pipeline reentry, require permissionAck.accepted: true before reporting acceptance. For a serial or recovered permission, interpret the resumed stream normally and surface any next inputRequired event. Treat permissionWait.status=suspended with resumable=true as a recoverable pause: ask for the decision against the original inputRequired and call respond on the same job. Treat permissionRecovered as continuation of that same job; never start a replacement session.

Never use continue to poll a working Pipeline after respond. StartChat has no status-query operation, and a new natural-language message is a real Pipeline interrupt. Use only follow to observe the original parent SSE. If respond returns input-required, present and answer that newly visible permission. If it returns only permission-responded because other already-presented pendingPermissions remain, answer those permissions separately; otherwise keep following the current job. Do not ask the user to choose between follow and continue.

Safety and output discipline

• Never print, persist, or pass AccessKey IDs, secrets, security tokens, signatures, or authorization headers.
• Unit tests and validation must remain offline. Run a live StartChat or cloud deployment test only when the user explicitly authorizes that external action and its cleanup scope.
• Treat latestText as progress only. Use finalText only when state is turn-completed.
• Keep sessionId, taskId, and iacCodeSessionId as opaque identifiers.
• Interrupting a follow command does not cancel the background StartChat worker. Report the interruption and resume follow with the last confirmed cursor. Use cancel only after an explicit user cancellation request. If the worker itself fails, report its sanitized error; do not claim the remote task was canceled.
• Treat the bridge JSON as the only job-state interface. Do not inspect ~/.cache/alicloud-ros-agent, manager records, worker logs, the bridge source, or Alibaba Cloud CLI configuration to diagnose a failed job; present the returned sanitized error and let the operator inspect the server side.

Input/output examples

Input: "Review this ROS template, explain validation errors, and propose a corrected version."

Expected output: the bridge returns the authoritative ROS Agent response and preserves the same session for follow-up questions, permissions, and final artifacts.

Edge cases

If credentials, endpoint metadata, or permissions are unavailable, stop with the returned actionable error. Reuse the returned session ID for follow-ups and StopChat. If a stream is interrupted, resume the frozen job instead of silently creating a second cloud session.

RAM permissions

Before the first ROS API request, read references/ram-policies.md and verify that the selected credential has only the exact ROS actions required for the requested conversation and cancellation path.

Observability

All outbound HTTP requests made by this AgentHub Skill carry this User-Agent template:

text

AlibabaCloud-Agent-Skills/alibabacloud-ros-agent/{session-id}

• alibabacloud-ros-agent is the fixed AgentHub Skill identifier and matches the frontmatter name.
• The session ID must be a 32-character lowercase hexadecimal string generated exactly once per session. It must be reused unchanged for every outbound HTTP request in that session. The bridge reads SKILL_SESSION_ID after validation; if it is absent or invalid, the bridge generates the session ID with uuid.uuid4().hex and stores it for that session.