Agent skill

Deploy Landed

by avelikiy in avelikiy/great_cto

Prove a deploy landed — the served revision is the commit you meant, its env is present, and the product does its job — instead of trusting the deploy command's exit code.

MITAuto-check: notesDevOps & Cloud

Install Deploy Landed

skills CLI
$ npx skills add avelikiy/great_cto --skill deploy-landed -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install avelikiy/great_cto deploy-landed --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/avelikiy/great_cto.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/deploy-landed .claude/skills/deploy-landed && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
deploy-landed
GitHub stars
102
Token cost
~1.1k tokens
SKILL.md length
483 words
Files
1
Skills in repo
27
Repo updated
First seen
Licence
MIT

At a glance

Prove a deploy landed — the served revision is the commit you meant, its env is present, and the product does its job — instead of trusting the deploy command's exit code.

  • Works in 4 steps: Revision. What is serving equals the… → Configuration. The variables and secrets… → Function. One request that does the… → …
  • Tasks that involve Deployment
  • SKILL.md covers Before: is the server what git…, After: four checks, each with… and Report
  • Calls git and docker

What it does

Deploy Landed is an agent skill from avelikiy/great_cto. Prove a deploy landed — the served revision is the commit you meant, its env is present, and the product does its job — instead of trusting the deploy command's exit code. Also catches server drift before a pull or deploy. Use after any deploy, rollout, restart or server-side fix ("задеплой", "выкати", "проверь на проде", "почему не обновилось"). Loaded by devops, l3-support, infra-provisioner.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering Deployment and Backend development. It works with Git. The repository describes itself as: You already have the agent. This is everything around it. greatcto runs Claude Code as a pipeline of 70 specialist agents — an independent model checks each stage before the next… The licence is MIT.

When your agent uses it

  • Tasks that involve Deployment
  • Tasks that involve Backend development

Example prompts

  • “/deploy-landed”

Requirements

  • Docker
  • Pre-approved tools (allowed-tools): Read, Bash, Grep

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Revision. What is serving equals the commit you meant.
  2. Configuration. The variables and secrets the new code reads are present in the
  3. Function. One request that does the product's job and returns something you can
  4. Startup errors. Logs for the new revision since it started, at WARNING and above.

What it can do on your machine

Read from SKILL.md and the folder at commit 97dd037. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Bash
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git
    • docker

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git and docker, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Deploy Landed loads about 1.1k tokens when it runs. Until then it costs about 103 tokens; SKILL.md has 483 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~103
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Bash, Grep

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from avelikiy/great_cto at commit 97dd037, republished under its MIT licence (© avelikiy). 483 words, ~1,081 tokens.

Download SKILL.mdSave it as .claude/skills/deploy-landed/SKILL.md (or your agent's skills folder).
name
deploy-landed
description
Prove a deploy landed — the served revision is the commit you meant, its env is present, and the product does its job — instead of trusting the deploy command's exit code. Also catches server drift before a pull or deploy. Use after any deploy, rollout, restart or server-side fix ("задеплой", "выкати", "проверь на проде", "почему не обновилось"). Loaded by devops, l3-support, infra-provisioner.
allowed-tools
Read, Bash, Grep
when_to_use
Apply when: - you ran, or are about to report, a deploy, a rollout, a container restart, a hot-fix on a server - the operator asks whether something is live…
effort
low

deploy-landed — a deploy is done when the running thing is the thing you meant

A deploy command's exit code says the command finished. It does not say the new code is serving, that its configuration arrived, or that the product works. Every trap below produced a green exit and a broken or stale product on a real project:

TrapWhat happened
git pull failed, the build went onThe build succeeded from the old code and reported success
nohup … &Exit 0 twice for a process that died at once
docker exec into a containerIt does not inherit the entrypoint's env: two "config is missing" readings were false
sed -i / docker cp on a bind-mounted fileReplaced the inode; the container kept reading the old file
A fix applied only on the serverLost on the next deploy — it was never in git
wrangler / Pagesfunctions/ not deployed, _headers ignored, five deploys to notice
Prod behind SSOAnswers 401/302 to every path, including ones that do not exist — proves nothing about a route
/health greenFor six hours while the engine made no trades

Before: is the server what git says it is?

Before pulling or building on a host someone can reach by hand:

bash
git -C /srv/app status --porcelain        # anything here is a patch that is not in git
git -C /srv/app log -1 --format=%H        # what the host thinks it runs

Anything uncommitted on the host is either committed first or reported as drift — never overwritten silently, and never left as the only copy of a fix.

Show full SKILL.md (252 more words)Show less

After: four checks, each with its evidence

  1. Revision. What is serving equals the commit you meant.
    • Cloud Run / k8s: the live revision's image tag or digest, then git merge-base --is-ancestor <commit> <image-tag-sha>.
    • Pages / Workers / Vercel: the deployment id and its commit.
    • A plain host: the running process's start time is after the deploy, and the file it serves has the new content (grep for a string the change introduced).
    • A /version endpoint, when the app has one, beats all of the above.
  2. Configuration. The variables and secrets the new code reads are present in the running process — count them against the list the code expects. In a container, read them from PID 1 (cat /proc/1/environ | tr '\0' '\n'), not from docker exec env. After --set-secrets/--set-env-vars, check that the ones you did not name are still there: those flags replace the whole set.
  3. Function. One request that does the product's job and returns something you can compare to a known value — an order created, a row written, a trade placed on paper. A health endpoint proves the process is up, nothing more.
  4. Startup errors. Logs for the new revision since it started, at WARNING and above. Zero lines is a finding only if you saw the logs flowing at all.

Report

End the deploy report with this block. A check you could not run is NOT CHECKED with the reason — never omitted, never PASS.

DEPLOY-LANDED <service> @ <commit>
  revision : PASS — serving <revision/deployment id> built from <sha>
  config   : PASS — 14/14 expected vars present in PID 1
  function : PASS — POST /orders → 201, row id 8812 visible in DB
  startup  : PASS — 0 WARNING+ lines since 12:04:10

A FAIL in any line means the deploy is not done, whatever the command printed.

© avelikiy, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/deploy-landed of avelikiy/great_cto.

Open the folder on GitHubat commit 97dd037

Compare with similar skills

Deploy Landed next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Deploy Landed compared with similar skills
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Deploy Landed this skillavelikiy/great_cto102—~1.1kAutomated safety check: NotesMIT
AI ServerOpentrons/opentrons523—~2.5kAutomated safety check: NotesApache-2.0
Deployclacky-ai/openclacky1.2k—~1.9kAutomated safety check: PassMIT
Add Node SDKgotempsh/temps831—~2.2kAutomated safety check: PassApache-2.0
Infrastructuretheopenco/llmgateway1.7k—~714Automated safety check: PassCustom licence
Cohere Deploy Integrationjeremylongshore/tons-of-skills-marketplace2.8k—~1.1kAutomated safety check: PassMIT

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Works with

Questions about Deploy Landed

What does Deploy Landed do?

Prove a deploy landed — the served revision is the commit you meant, its env is present, and the product does its job — instead of trusting the deploy command's exit code. Deploy Landed is an agent skill from avelikiy/great_cto. Prove a deploy landed — the served revision is the commit you meant, its env is present, and the product does its job — instead of trusting the deploy command's exit code.

When should I use Deploy Landed?

Deploy Landed fits situations like: tasks that involve Deployment; tasks that involve Backend development.

How do I install Deploy Landed in Claude Code?

Run `npx skills add avelikiy/great_cto --skill deploy-landed -a claude-code`. Or copy the skill folder (skills/deploy-landed in avelikiy/great_cto) into .claude/skills/deploy-landed in your project. Claude Code loads it when a task matches its description.

How do I install Deploy Landed in Codex?

Run `npx skills add avelikiy/great_cto --skill deploy-landed -a codex`. Or copy the skill folder (skills/deploy-landed in avelikiy/great_cto) into .agents/skills/deploy-landed in your project. Codex loads it when a task matches its description.

Can I use Deploy Landed in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add avelikiy/great_cto --skill deploy-landed -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deploy-landed, .gemini/skills/deploy-landed, .github/skills/deploy-landed and .opencode/skills/deploy-landed in your project.

What does Deploy Landed need to run?

Going by SKILL.md and its folder, Deploy Landed needs the command-line tools its instructions call (git and docker). Our summary lists: Docker. Its frontmatter pre-approves these tools: Read, Bash, Grep.

Does Deploy Landed access the network?

SKILL.md contains no URLs. Its commands use git and docker, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Deploy Landed safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Deploy Landed use?

Deploy Landed is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Deploy Landed use?

About 1.1k tokens (SKILL.md is roughly 4.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Deploy Landed?

Skills that share tags, products or a category with Deploy Landed: AI Server (Opentrons/opentrons, 523 stars), Deploy (clacky-ai/openclacky, 1.2k stars), Add Node SDK (gotempsh/temps, 831 stars) and Infrastructure (theopenco/llmgateway, 1.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deploy Landed?

avelikiy (a GitHub user) maintains it in avelikiy/great_cto, which has 102 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on October 9, 2026.

Source: avelikiy/great_cto on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.