Deploy And Monitor

SkillCloud & infra

Guides your agent through a deploy and monitor routine: pre-release checklist, health signals, rollback criteria, and post-deploy status.

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Deploy And Monitor skill

About this skill

[omh] Release rollout needing health signals: release checklist, deploy decision, health signals, rollback gate, and post-deploy status. Use when the user says: deploy-and-monitor, deploy and monitor, deploy monitor, deployment monitoring, release monitor, post deploy, post-deploy, rollback.

What this skill tells your AI

The instructions your AI receives, as published by rlaope/oh-my-hermes in agent-skills/omh-deploy-and-monitor/SKILL.md and read by ahel’s review.

This is an OMH deploy-and-monitor workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).

Why This Exists

deploy-and-monitor exists to keep monitoring work explicit, evidence-backed, and inside the Hermes/executor boundary instead of relying on ad hoc chat narration.

Do Not Use When

  • An incident has already been declared and the work is commanding it -- severity, commander, running timeline, recovery verification -- rather than watching a release; use live-incident-response.
  • The ask is deciding a release before it ships -- what goes in, its version and tag, the canary stages, or which command rolls it back; use release-cut, which writes the rollback trigger down before it is needed.
  • The change is to declared infrastructure itself -- a Terraform plan, a Kubernetes manifest, a Helm chart -- and needs its drift, blast radius, and cost delta read before it is applied; use iac-change.

Examples

Good example:

  • Prompt: deploy-and-monitor: prepare the release monitor, rollback signals, health checks, and post-deploy status card.
  • Expected behavior: Create release monitoring guidance with deployment, metric, rollback, and observation boundaries.
  • Why: The request is about deploy readiness and monitoring rather than code review alone.

Bad example:

  • Prompt: deploy-and-monitor: treat casual chat or unaccepted work as if this workflow already produced verified results.
  • Expected behavior: Ask a clarification question or route to a narrower workflow instead of forcing deploy-and-monitor.
  • Why: The request lacks the required inputs or would overclaim work that Hermes did not observe.

Completion Checklist

  • Confirm the workflow target, evidence boundary, and stop condition are named.
  • Report which outputs are prepared, observed, blocked, or missing.
  • Name the smallest next verification or handoff instead of claiming completion from narration.

Recovery Notes

  • If required context is missing, ask one blocking question or route back to the narrower workflow.
  • If runtime or wrapper evidence is unavailable, keep the status as not_observed and expose the next observable action.

Use When

Use when Hermes should prepare or narrate a release operation with deploy checklist, health signals, rollback criteria, and post-deploy status without pretending to run infrastructure.

Strong routing signals: `deploy-and-monitor`, `deploy and monitor`, `deploy monitor`, `deployment monitoring`, `release monitor`, `post deploy`, `post-deploy`, `rollback`, `rollback gate`, `health check`, `incident watch`, `release health`, `deploy this service`, `배포 모니터링`, `서비스 배포`, `프로덕션 배포`, `인프라에 배포`, `배포 감시`, `롤백`, `헬스 체크`, `장애 감시`, `릴리즈 모니터링`

Catalog Metadata

Category: monitoring Phase: release-ops Quality tier: release-gated Reasoning demand: light

Quality bar:

  • Name release scope, target environment, health signals, rollback criteria, and evidence owner.
  • Show pre-deploy, deploy decision, monitor, rollback, and post-deploy as distinct stages.
  • Mark health and rollback status unknown until observed evidence arrives.

Required inputs:

  • release scope
  • environment
  • health signals
  • rollback owner

Expected outputs:

  • pre-deploy checklist
  • deploy decision gate
  • monitoring watchlist
  • rollback criteria
  • post-deploy status boundary

Artifact expectations:

  • release operation status record when the wrapper captures deploy or monitor observations
  • web_qa_comparison/v1 for a canary only with a trusted host_deployment_observation/v1 and a production baseline captured before it

Artifact contracts:

This label denotes the machine-enforcement level, not a skill quality score and not an observed evidence state.

  • contract_id: deploy-and-monitor; enforcement_level: guidance_only; consumer_id: none

Safety rules:

  • Do not claim deployment, health checks, rollback, or incident response happened from a prepared checklist.
  • Keep release readiness, deploy decision, monitor signals, and rollback as separate evidence steps.
  • Route code fixes discovered during monitoring as later executor handoffs.
  • A canary web-QA comparison never authorizes rollback; a missing deployment observation is BLOCK and a field regression beyond tolerance is REVISE.

Runtime Evidence

Use the current host's own tools and subagent/task mechanism when available; otherwise run the same lanes sequentially or name the unavailable capability. A prepared plan, handoff, checklist, or skill installation is not execution, review, CI, merge-readiness, or merge evidence. Record actual tool results, or not_observed / not_available, in the record; never invent dispatch or host accounting. Treat supplied context as advisory, not proof of hidden memory reads or writes. State scope, constraints, verification, and the stop condition before work. Reply in the user's own words and the host's own voice: OMH's record terms (surface, lane, wrapper, handoff, evidence boundary, not_observed) stay in records and tool calls, never in the sentence the user reads unless they ask about one; and when a stop condition or a decision the user owns ends the turn, offer the next action as a question rather than declaring what will not be done. Supporting paths are relative to this skill directory; sibling skill paths are relative to its parent. Resolve them from the host-provided skill base directory ({baseDir} on hosts that provide it), never a hardcoded install location. A named workflow not installed here is unavailable, not permission to emulate its host-specific capabilities. Verify through the real surface before done.

Signals

GitHub stars
3k
Forks
235
Last commit
Sep 2026
Advanced
Item type
skill
Key
omh-deploy-and-monitor
Source
github.com/rlaope/oh-my-hermes