deploy

A production-release procedure for an engineering service. Production is the live environment used by real users.

In plain words
What is it for?
Use it to verify CI results, code review, and active incidents; run the deployment pipeline; test the service after rollout; and record the release history.
Why use it?
It adds checks before release and health checks afterward, reducing the chance of deploying an unreviewed or unhealthy change. It also keeps a record of what was released and any problems found.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/koroqe/opos/deploy
Any agent
npx skills add Koroqe/OPOS --skill deploy
Clone the repo
git clone --depth 1 https://github.com/Koroqe/OPOS

Made for: Claude Code, Codex.

Per session 8 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 516 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00008 $0.00516
Opus 5 $0.00004 $0.00258
Sonnet 5 $0.00002 $0.00103
Haiku 4.5 $0.00001 $0.00052

Measured 2d ago against content hash f19209423091, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

deploy scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

departments/rnd/.claude/skills/deploy/SKILL.md · 43 lines

What it actually says

deploy

When to use

A commit on main is ready for production: tests pass on CI, the change has been reviewed (by eng-reviewer), and the on-call engineer is available to monitor.

Inputs

  • commit_sha — the commit to deploy.
  • target_env — production environment identifier (e.g. prod-us-east, prod-eu-west).

Steps

  1. Pre-flight checks — verify CI is green for commit_sha, the change has an approving review from eng-reviewer, no incidents are active in target_env.
  2. Run pipeline — invoke the deploy pipeline (placeholder: adopters wire in their actual CI/CD here; could be a gh workflow run, a kubectl apply, etc.).
  3. Verify health — after rollout completes, hit the service's health endpoint and confirm 200 OK, then run smoke tests against target_env.
  4. Record history entry — write departments/engineering/.claude/skills/deploy/history/YYYY-MM-DD-<run-id>.md with the schema-conformant frontmatter and a body summarizing what was deployed, any anomalies, and the proposed delta (or "none").

Outputs

  • Deployed version visible at target_env's health endpoint.
  • A history entry recording the run.
  • (On failure) An incident reference and a rollback record.

Failure modes

  • Build fail — pipeline step 2 fails before rollout. Recovery: do not proceed to step 3; record outcome: failure with the failing job's log link. No production change occurred.
  • Smoke-test fail — step 3 detects bad behavior after rollout. Recovery: trigger the rollback procedure from PROCESS.md. Record outcome: failure and proposed_delta describing what the smoke tests caught.
  • Rollback path — if the deploy must be reversed, follow the rollback procedure in ./PROCESS.md. The rollback itself is a deploy of the prior version; record it as a separate history entry with actor: eng-lead, proposed_delta: <root cause if known>.
  • Process definition: ./PROCESS.md
  • Run history: ./history/
Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 43 lines · 8 tokens per session scan A f19209423091

Subscribe to this mod's changes

deploy is a skill published in the GitHub repository Koroqe/OPOS (2 stars, last pushed 4d ago), licensed MIT. It adds 8 tokens to every session and 516 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

add-community-extension

Add a community extension to the Spec Kit catalog from a GitHub issue submission. USE FOR: processing extension submission issues, validating catalog entries, updating catalog.community.json and docs/community/extensions.md, creating PRs. DO NOT USE FOR: creating new extensions from scratch, or first-party extension…

github/spec-kit · 63 tokens

release-announcement

Write a release announcement — changelog, blog post, in-app note, or social post — that leads with user impact, names the audience, and includes upgrade/migration steps without filler.

paperclipai/paperclip · 42 tokens

openspec-explore

Enter explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements. Use when the user wants to think through something before or during a change.

Fission-AI/OpenSpec · 39 tokens

github-pr-workflow

Prepare a GitHub pull request from a feature branch — branch hygiene, commit shape, title/body, verification notes, screenshots for UI work, and replies to review comments.

paperclipai/paperclip · 39 tokens

release-openspec

Use this skill when releasing OpenSpec: audit merged work and changeset coverage, decide whether a catch-up changeset PR is needed, prepare or resume the Changesets Version Packages PR, cut a beta or stable release, verify publishing, and polish GitHub release notes. Also use when asked whether an open release PR is…

Fission-AI/OpenSpec · 88 tokens

openspec-apply-change

Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.

Fission-AI/OpenSpec · 31 tokens