OpenClaw Beta Canary Testing

A release-gate and issue-intelligence workflow for testing OpenClaw beta builds on one non-primary agent before expanding across a fleet. It creates a Mission Control task, runs a focused canary, schedules checkbacks, files useful issues, tracks maintainer responses, and turns every accepted, rejected, or narrowed report into a better next test.

Classification

External bundle

Install mode

Manual install

Review status

Manual review

Verification mode

Concept review

This is published as a public GitHub workflow bundle. It is manually installable today; adapt the phases to your own OpenClaw fleet, Mission Control equivalent, and issue tracker.

Bundle id

superada.workflow.openclaw-beta-canary-testing

Entrypoint

SKILL.md

Bundle root

skills/openclaw-beta-testing

Artifact count

11 described items

A disciplined beta-testing workflow that starts with Mission Control intake, runs one controlled canary, schedules checkbacks, classifies the result, submits high-quality issues when failures are found, and follows each issue until it produces a retest, an external evidence comment, or an internal lesson.

Installability

Truly installable now

Method

Manual operator install

Review the workflow, create an MC task for the target beta and agent, run Phase 1 on one canary, then expand only after the canary decision is pass-expand.

1. 1
   Step 1 Create intake task

   Record version, target agent, rollback path, risk, intended mode, evidence requirements, and reviewer before touching the target.

2. 2
   Step 2 Snapshot the target

   Capture version, status, doctor output, gateway health, active channels, cron scheduler state, plugin state, and rollback notes.

3. 3
   Step 3 Update one canary

   Update only one non-primary target unless the test explicitly needs a broader surface.

   Copy

   openclaw update --channel beta

4. 4
   Step 4 Run P0 smoke

   Verify gateway restart, CLI/gateway version match, visible channel reply, model route, forced cron run, plugin list, session list, and logs.

5. 5
   Step 5 Classify the result

   Choose pass-expand, mixed-hold, fail-rollback, or blocked. Do not expand on a mixed or failed canary.

6. 6
   Step 6 Schedule checkback

   If observation is needed, create a checkpoint and scheduled checkback instead of relying on memory.

7. 7
   Step 7 Report and track issues

   File upstream issues only when evidence is strong enough, then track maintainer responses until resolved or intentionally abandoned.

8. 8
   Step 8 Register the issue

   Store repo, issue number, URL, source canary, target version, MC task, labels, comment count, ClawSweeper verdict, and next action in the issue registry.

9. 9
   Step 9 Run issue intelligence

   Re-check open beta issues for labels, maintainer comments, bot verdicts, linked PRs, closure reasons, duplicate markings, and evidence requests.

10. 10
    Step 10 Act on the issue state

    Submit a follow-up comment, queue a retest, update the internal lesson, or record no-action-with-reason. Do not leave the issue as passive monitoring.

If you hand an agent this workflow URL, this install contract is the source of truth for whether it can really install the bundle now, what source to use, and what still needs a human.

• Public GitHub workflow bundle bundle
  https://github.com/h-mascot/Enterprise-Crew-skills/tree/main/openclaw-beta-testing

  Public source for the reusable OpenClaw beta-testing workflow.

• Beta testing skill skill
  https://github.com/h-mascot/Enterprise-Crew-skills/blob/main/openclaw-beta-testing/SKILL.md

  Defines intake, canary, deep run, report, and issue-intelligence behavior.

• GitHub issue filing template template
  https://github.com/h-mascot/Enterprise-Crew-skills/blob/main/openclaw-beta-testing/references/github-issue-template.md

  Shareable issue-writing format for converting beta findings into crisp upstream reports.

• Upstream OpenClaw bug template template
  https://github.com/openclaw/openclaw/blob/main/.github/ISSUE_TEMPLATE/bug_report.yml

  Current upstream GitHub bug-report form to check before filing against OpenClaw.

• Mission Control task concept
  MC task: OpenClaw beta canary

  Tracks target version, target agent, risk, rollback, evidence, checkback, and reviewer.

• Canary report template
  output/openclaw-beta/<date>-<agent>-canary-report.md

  Compact pass/fail report with version, checks, logs, decision, and recommendation.

• Self-healing checkpoint template
  /tmp/self-heal-oc-beta-<agent>-<version>.json

  Resume state for long observation windows so the canary does not depend on memory.

• Issue registry doc
  https://github.com/h-mascot/Enterprise-Crew-skills/blob/main/openclaw-beta-testing/state/issues.example.json

  Example schema for tracking submitted beta issues, maintainer responses, and next actions.

• Issue-intelligence report template
  output/openclaw-beta/issue-intelligence/<date>-issue-followup.md

  Records issue state changes, maintainer requests, retest results, comments submitted, and lessons learned.

• Upstream issue example doc
  https://github.com/openclaw/openclaw/issues/83456

  Example of turning a canary regression into a public issue with scoped evidence and follow-up.

• Follow-up comment example doc
  https://github.com/openclaw/openclaw/issues/83456#issuecomment-4476535287

  Example of narrowing a beta issue after a live retry, adding expected-vs-actual behavior, diagnostics, and updated event-loop health evidence.

• Issue action contract template
  external-comment-submitted | internal-lesson-updated | retest-queued | no-action-with-reason

  Every issue-intelligence pass must end in one of these concrete outcomes so issue watching stays operational rather than passive.

• OpenClaw CLI and gateway access runtime

  The operator must be able to run version, status, doctor, update, cron, plugin, and log commands on the target.

• Non-primary canary agent dependency

  Use an expendable or lower-risk target before touching the primary orchestrator.

• Task board with evidence runtime

  A durable MC-style task keeps the checkback, reviewer, and final decision visible.

• Peer review review

  Completion should be reviewed by another agent or operator before the task is closed.

• Issue tracker access access

  The operator needs read/write access to the upstream issue tracker if failures will be submitted or followed up.

Verification language now matches reality. Installable bundles can be tested after install, external bundles should be source-reviewed first, and conceptual entries are reviewed as designs until real artifacts exist.

1. 1
   Intake completeness

   Confirm the task has version, target, rollback, risk, evidence, checkback, and reviewer fields.

   Expected: No beta update begins without a task and rollback note.

2. 2
   Canary decision

   Confirm Phase 1 ends with pass-expand, mixed-hold, fail-rollback, or blocked.

   Expected: The decision is written to the task and report.

3. 3
   Checkback present

   Confirm any observation window has a scheduled checkback and checkpoint.

   Expected: A later inspection is scheduled or the canary is explicitly closed.

4. 4
   Issue action

   Confirm reportable failures become issue comments, lessons, retest tasks, or no-action reasons.

   Expected: No submitted issue is left as passive monitoring.

5. 5
   Registry update

   Confirm every submitted issue has current labels, state, comment count, last checked timestamp, and next action.

   Expected: The registry can answer what happens next without re-reading the whole thread.

6. 6
   Maintainer follow-up

   Confirm requests for diagnostics, expected-vs-actual behavior, screenshots, or reproduction are turned into action when safe.

   Expected: Evidence is collected and commented, or a no-action reason is recorded.

7. 7
   Retest trigger

   Confirm fixed, in-progress, or evidence-requested issues create a retest task or run.

   Expected: The affected canary lane is rerun instead of guessed from stale evidence.

• Treat this as an operating pattern. Adapt host names, channels, and commands to the target fleet.
• The workflow is designed to avoid overexpansion when the first canary finds runtime instability.
• Upstream reports should be scoped and updated when later retries narrow the diagnosis.
• Issue intelligence is recursive: every maintainer/bot response should change either the public issue, the internal workflow, or the retest queue.

• Test the latest OpenClaw beta on Scotty, Spock, or Zora
• Decide whether a beta is safe to expand beyond one canary
• Convert a canary regression into a tight upstream report
• Track ClawSweeper or maintainer asks without letting issues rot
• Queue retests when an issue is fixed, narrowed, or needs stronger evidence
• Update internal reporting guidance when a report is rejected or corrected
• Keep a repro host available while maintainers ask for evidence
• Avoid using the primary orchestrator as the first beta target

• Keep the primary orchestrator stable unless the beta specifically needs main-gateway coverage.
• Do not run the full deep matrix when the Phase 1 canary already found a P0 stability problem.
• Every issue-intelligence pass must choose an action: external comment, internal lesson, retest queued, or no-action with reason.
• Public examples intentionally omit private hostnames, tokens, and internal file paths.