deploy: Design & UI for AI Agents | OpenAgentSkill

Overview

Build → verify artifact → deploy → wait → smoke deployment pipeline. Platform-agnostic (MCP or CLI), with configurable timeout, retry with exponential backoff, and integrated health-check. The deploy half of CI/CD: run after build to push to production.

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Deploy

HARD GATE — Do not deploy without running tests first. Run test or your CI suite before this skill.

HARD GATE — Use this skill from a CI/CD pipeline or post-merge on main/master. Never deploy from a feature branch.

HARD GATE — The deploy skill orchestrates deployment; the smoke-test skill validates post-deploy health. Chain them: deploy → smoke-test.

Orchestrate a full build-to-deployment pipeline: build the artifact, verify it exists and is non-empty, invoke a platform deploy tool (MCP or CLI), poll until the deploy completes or times out, then run a baseline smoke test against the live URL.

Pipeline Stages

build → verify artifact → deploy → wait/retry → smoke

Stage	Description	Failure mode
Build	Execute the project's build command	Non-zero exit: report build error
Verify	Check artifact exists and is non-empty	Missing/empty: report artifact path
Deploy	Invoke platform deploy tool (MCP, Vercel CLI, rsync, etc.)	Non-zero exit: report deploy error
Wait	Poll deploy status every 30s up to `DEPLOY_TIMEOUT` (default 5 min)	Timeout: report exceeded
Smoke	`curl -sSf $DEPLOY_URL` as baseline health check	Non-200: report failure

Process

1. Detect build command

Read project manifest files in order to determine the build command:

Manifest	Build command
`package.json`	`npm run build` (or `scripts.build` value)
`Cargo.toml`	`cargo build --release`
`pyproject.toml` / `setup.py`	Depends on build backend (`poetry build`, `pip install -e .`, etc.)
`Makefile`	`make build` or first target named `build`
`AGENTS.md` / `CLAUDE.md`	Look for `build:` in project commands section

If no manifest is found, prompt the user with: "No detected build command. Pass --build 'npm run build' or specify the command."

2. Build the artifact

npm run build

Or the detected command from step 1. If the build fails, exit non-zero and report the build output.

3. Verify the artifact

ARTIFACT_DIR="${ARTIFACT_DIR:-dist}"
if [ ! -d "$ARTIFACT_DIR" ] || [ -z "$(ls -A "$ARTIFACT_DIR" 2>/dev/null)" ]; then
  echo "FAIL: build artifact not found at $ARTIFACT_DIR"
  exit 1
fi

Configurable via $ARTIFACT_DIR environment variable (default: dist/).

4. Deploy to platform

Platform-agnostic — supports multiple deployment targets via environment variables:

Platform	Env var	Example
Vercel	`VERCEL_TOKEN`, `VERCEL_PROJECT_ID`	`vercel deploy --prod --token $VERCEL_TOKEN`
Netlify	`NETLIFY_AUTH_TOKEN`, `NETLIFY_SITE_ID`	`netlify deploy --prod --auth $NETLIFY_AUTH_TOKEN --dir $ARTIFACT_DIR`
Platform MCP	MCP tool call	`mcp deploy` via your platform MCP server
rsync/SSH	`DEPLOY_SSH_USER`, `DEPLOY_SSH_HOST`, `DEPLOY_SSH_PATH`	`rsync -avz $ARTIFACT_DIR/ $DEPLOY_SSH_USER@$DEPLOY_SSH_HOST:$DEPLOY_SSH_PATH`
Custom	`DEPLOY_COMMAND`	Run any deploy command string

The deploy tool is selected by which environment variables are set. If none are configured:

echo "No deploy target configured. Set one of: VERCEL_TOKEN, NETLIFY_AUTH_TOKEN, DEPLOY_SSH_USER+DEPLOY_SSH_HOST, DEPLOY_COMMAND, or MCP deploy tool."
exit 1

5. Wait and poll status

After invoking the deploy command, poll for completion:

See REFERENCE.md

Use exponential backoff for retries on transient failures:

See REFERENCE.md

6. Baseline smoke test

See REFERENCE.md

For comprehensive health-checking, chain to the smoke-test skill:

# After deploy success
bash scripts/run-smoke.sh "$DEPLOY_URL"

7. Three-independent-facts verification (e45s15)

Before declaring deploy success, verify three independent facts — build artifact, platform accept, live/registry reachability. See REFERENCE.md.

Verify

→ verify: command -v curl >/dev/null 2>&1 && test -f skills/smoke-test/SKILL.md

Deploy — Reference

Configuration

Variable	Default	Description
`ARTIFACT_DIR`	`dist`	Build output directory
`DEPLOY_URL`	(required)	Live URL for smoke test
`DEPLOY_TIMEOUT`	`300`	Max wait for deploy completion (seconds)
`DEPLOY_POLL_INTERVAL`	`30`	Polling interval (seconds)
`RETRY_MAX`	`3`	Max deploy retry attempts
`BUILD_COMMAND`	(auto-detect)	Override build command

Verification

→ verify: test -f deploy/SKILL.md && grep -q 'name: deploy' deploy/SKILL.md && echo OK → verify: grep -qi 'build\|artifact\|deploy\|smoke' deploy/SKILL.md && echo OK → verify: grep -ci 'package.json\|Cargo.toml\|Makefile\|manifest' deploy/SKILL.md | awk '{if($1>=1) print "OK"; else print "FAIL"}' → verify: grep -ci 'timeout\|poll\|status\|retry\|backoff' deploy/SKILL.md | awk '{if($1>=2) print "OK"; else print "FAIL"}' → verify: grep -q 'curl.*DEPLOY_URL\|smoke\|health' deploy/SKILL.md && echo OK

Reference block 1

DEPLOY_TIMEOUT="${DEPLOY_TIMEOUT:-300}"   # seconds (default 5 minutes)
DEPLOY_POLL_INTERVAL="${DEPLOY_POLL_INTERVAL:-30}"  # seconds

start_time=$(date +%s)
while true; do
  elapsed=$(( $(date +%s) - start_time ))
  if [ "$elapsed" -ge "$DEPLOY_TIMEOUT" ]; then
    echo "FAIL: deploy status polling timed out after ${DEPLOY_TIMEOUT}s"
    exit 1
  fi
  
  status=$(get_deploy_status)  # platform-specific status check
  if [ "$status" = "ready" ] || [ "$status" = "done" ]; then
    echo "Deploy completed in ${elapsed}s"
    break
  fi
  
  sleep "$DEPLOY_POLL_INTERVAL"
done

Reference block 2

RETRY_MAX="${RETRY_MAX:-3}"
base_delay=2
for attempt in $(seq 1 "$RETRY_MAX"); do
  if deploy_command; then
    break
  fi
  if [ "$attempt" -eq "$RETRY_MAX" ]; then
    echo "FAIL: deploy failed after ${RETRY_MAX} attempts"
    exit 1
  fi
  sleep $(( base_delay * 2 ** (attempt - 1) ))
done

Reference block 3

DEPLOY_URL="${DEPLOY_URL:?DEPLOY_URL must be set}"
if curl -sSf "$DEPLOY_URL" > /dev/null 2>&1; then
  echo "OK: $DEPLOY_URL responds with HTTP 200"
else
  echo "FAIL: $DEPLOY_URL is not responding with HTTP 200"
  exit 1
fi

View source ↗

File metadata

name: deploy
model: sonnet
description: "Build → verify artifact → deploy → wait → smoke deployment pipeline. Platform-agnostic (MCP or CLI), with configurable timeout, retry with exponential backoff, and integrated health-check. The deploy half of CI/CD: run after build to push to production."

View original text

---
name: deploy
model: sonnet
description: "Build → verify artifact → deploy → wait → smoke deployment pipeline. Platform-agnostic (MCP or CLI), with configurable timeout, retry with exponential backoff, and integrated health-check. The deploy half of CI/CD: run after build to push to production."
---

# Deploy

> **HARD GATE** — Do not deploy without running tests first. Run `test` or your CI suite before this skill.
>
> **HARD GATE** — Use this skill from a CI/CD pipeline or post-merge on `main`/`master`. Never deploy from a feature branch.
>
> **HARD GATE** — The deploy skill orchestrates deployment; the `smoke-test` skill validates post-deploy health. Chain them: `deploy → smoke-test`.

Orchestrate a full build-to-deployment pipeline: build the artifact, verify it exists and is non-empty, invoke a platform deploy tool (MCP or CLI), poll until the deploy completes or times out, then run a baseline smoke test against the live URL.

## Pipeline Stages

```
build → verify artifact → deploy → wait/retry → smoke
```

| Stage | Description | Failure mode |
|-------|-------------|-------------|
| Build | Execute the project's build command | Non-zero exit: report build error |
| Verify | Check artifact exists and is non-empty | Missing/empty: report artifact path |
| Deploy | Invoke platform deploy tool (MCP, Vercel CLI, rsync, etc.) | Non-zero exit: report deploy error |
| Wait | Poll deploy status every 30s up to `DEPLOY_TIMEOUT` (default 5 min) | Timeout: report exceeded |
| Smoke | `curl -sSf $DEPLOY_URL` as baseline health check | Non-200: report failure |

## Process

### 1. Detect build command

Read project manifest files in order to determine the build command:

| Manifest | Build command |
|----------|--------------|
| `package.json` | `npm run build` (or `scripts.build` value) |
| `Cargo.toml` | `cargo build --release` |
| `pyproject.toml` / `setup.py` | Depends on build backend (`poetry build`, `pip install -e .`, etc.) |
| `Makefile` | `make build` or first target named `build` |
| `AGENTS.md` / `CLAUDE.md` | Look for `build:` in project commands section |

If no manifest is found, prompt the user with: "No detected build command. Pass `--build 'npm run build'` or specify the command."

### 2. Build the artifact

```bash
npm run build
```

Or the detected command from step 1. If the build fails, exit non-zero and report the build output.

### 3. Verify the artifact

```bash
ARTIFACT_DIR="${ARTIFACT_DIR:-dist}"
if [ ! -d "$ARTIFACT_DIR" ] || [ -z "$(ls -A "$ARTIFACT_DIR" 2>/dev/null)" ]; then
  echo "FAIL: build artifact not found at $ARTIFACT_DIR"
  exit 1
fi
```

Configurable via `$ARTIFACT_DIR` environment variable (default: `dist/`).

### 4. Deploy to platform

Platform-agnostic — supports multiple deployment targets via environment variables:

| Platform | Env var | Example |
|----------|---------|---------|
| Vercel | `VERCEL_TOKEN`, `VERCEL_PROJECT_ID` | `vercel deploy --prod --token $VERCEL_TOKEN` |
| Netlify | `NETLIFY_AUTH_TOKEN`, `NETLIFY_SITE_ID` | `netlify deploy --prod --auth $NETLIFY_AUTH_TOKEN --dir $ARTIFACT_DIR` |
| Platform MCP | MCP tool call | `mcp deploy` via your platform MCP server |
| rsync/SSH | `DEPLOY_SSH_USER`, `DEPLOY_SSH_HOST`, `DEPLOY_SSH_PATH` | `rsync -avz $ARTIFACT_DIR/ $DEPLOY_SSH_USER@$DEPLOY_SSH_HOST:$DEPLOY_SSH_PATH` |
| Custom | `DEPLOY_COMMAND` | Run any deploy command string |

The deploy tool is selected by which environment variables are set. If none are configured:

```bash
echo "No deploy target configured. Set one of: VERCEL_TOKEN, NETLIFY_AUTH_TOKEN, DEPLOY_SSH_USER+DEPLOY_SSH_HOST, DEPLOY_COMMAND, or MCP deploy tool."
exit 1
```

### 5. Wait and poll status

After invoking the deploy command, poll for completion:

See [REFERENCE.md](REFERENCE.md)

Use exponential backoff for retries on transient failures:

See [REFERENCE.md](REFERENCE.md)

### 6. Baseline smoke test

See [REFERENCE.md](REFERENCE.md)

For comprehensive health-checking, chain to the `smoke-test` skill:

```bash
# After deploy success
bash scripts/run-smoke.sh "$DEPLOY_URL"
```

### 7. Three-independent-facts verification (e45s15)

Before declaring deploy success, verify **three independent facts** — build artifact, platform accept, live/registry reachability. See [REFERENCE.md](REFERENCE.md#three-independent-facts).

## Verify

→ verify: `command -v curl >/dev/null 2>&1 && test -f skills/smoke-test/SKILL.md`

---

# Deploy — Reference

## Configuration

| Variable | Default | Description |
|----------|---------|-------------|
| `ARTIFACT_DIR` | `dist` | Build output directory |
| `DEPLOY_URL` | *(required)* | Live URL for smoke test |
| `DEPLOY_TIMEOUT` | `300` | Max wait for deploy completion (seconds) |
| `DEPLOY_POLL_INTERVAL` | `30` | Polling interval (seconds) |
| `RETRY_MAX` | `3` | Max deploy retry attempts |
| `BUILD_COMMAND` | *(auto-detect)* | Override build command |


---

## Verification

→ verify: `test -f deploy/SKILL.md && grep -q 'name: deploy' deploy/SKILL.md && echo OK`
→ verify: `grep -qi 'build\|artifact\|deploy\|smoke' deploy/SKILL.md && echo OK`
→ verify: `grep -ci 'package.json\|Cargo.toml\|Makefile\|manifest' deploy/SKILL.md | awk '{if($1>=1) print "OK"; else print "FAIL"}'`
→ verify: `grep -ci 'timeout\|poll\|status\|retry\|backoff' deploy/SKILL.md | awk '{if($1>=2) print "OK"; else print "FAIL"}'`
→ verify: `grep -q 'curl.*DEPLOY_URL\|smoke\|health' deploy/SKILL.md && echo OK`

---

## Reference block 1

```bash
DEPLOY_TIMEOUT="${DEPLOY_TIMEOUT:-300}"   # seconds (default 5 minutes)
DEPLOY_POLL_INTERVAL="${DEPLOY_POLL_INTERVAL:-30}"  # seconds

start_time=$(date +%s)
while true; do
  elapsed=$(( $(date +%s) - start_time ))
  if [ "$elapsed" -ge "$DEPLOY_TIMEOUT" ]; then
    echo "FAIL: deploy status polling timed out after ${DEPLOY_TIMEOUT}s"
    exit 1
  fi
  
  status=$(get_deploy_status)  # platform-specific status check
  if [ "$status" = "ready" ] || [ "$status" = "done" ]; then
    echo "Deploy completed in ${elapsed}s"
    break
  fi
  
  sleep "$DEPLOY_POLL_INTERVAL"
done
```

---

## Reference block 2

```bash
RETRY_MAX="${RETRY_MAX:-3}"
base_delay=2
for attempt in $(seq 1 "$RETRY_MAX"); do
  if deploy_command; then
    break
  fi
  if [ "$attempt" -eq "$RETRY_MAX" ]; then
    echo "FAIL: deploy failed after ${RETRY_MAX} attempts"
    exit 1
  fi
  sleep $(( base_delay * 2 ** (attempt - 1) ))
done
```

---

## Reference block 3

```bash
DEPLOY_URL="${DEPLOY_URL:?DEPLOY_URL must be set}"
if curl -sSf "$DEPLOY_URL" > /dev/null 2>&1; then
  echo "OK: $DEPLOY_URL responds with HTTP 200"
else
  echo "FAIL: $DEPLOY_URL is not responding with HTTP 200"
  exit 1
fi
```

Review the source

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Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

Dependency or permission surface needs review
Permission surface may require sandboxing
The skill references external scripts (e.g., scripts/run-smoke.sh) and REFERENCE.md for detailed logic, but these are not fully included in the excerpt. This may cause incomplete implementation if the full repository is not available.
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Open full audit

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Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.

Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.

Source & trust

Indexed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

License: MIT
Version: 1.0.0
Last GitHub push: Sep 6, 2026
Registry updated: Sep 6, 2026
Instruction path: .cline/skills/deploy/SKILL.md @ cbff374ee2d4

Version reported in registry metadata; check source releases before relying on it.

Quality

69/100

Promising

Trust

61/100

Sandbox only

Audit

76/100

Needs review

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This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

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More details

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  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "The skill references external scripts (e.g., scripts/run-smoke.sh) and REFERENCE.md for detailed logic, but these are not fully included in the excerpt. This may cause incomplete implementation if the full repository is not available.",
    "No OpenAgentSkill engagement data yet",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Quality score needs review"
  ],
  "agent_contract": {
    "task_input": "Use deploy in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 69/100 Manual review",
      "Audit: 76/100 Needs review",
      "Safety: 36/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "danielvm-git-deploy (deploy)",
      "install_command": "npx skills add danielvm-git/bigpowers --skill deploy",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "danielvm-git-deploy",
      "task": "Use deploy in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/danielvm-git-deploy",
    "api": "https://www.openagentskill.com/api/agent/skills/danielvm-git-deploy",
    "audit": "https://www.openagentskill.com/skills/danielvm-git-deploy/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=danielvm-git-deploy&task=Use%20deploy%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20deploy%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20deploy%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/danielvm-git-deploy/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/danielvm-git-deploy"
  }
}

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Creator: danielvm-git
Source: danielvm-git/bigpowers
Indexed by: OpenAgentSkill community index

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Overview

Deploy

Pipeline Stages

Process

1. Detect build command

2. Build the artifact

3. Verify the artifact

4. Deploy to platform

5. Wait and poll status

6. Baseline smoke test

7. Three-independent-facts verification (e45s15)

Verify

Deploy — Reference

Configuration

Verification

Reference block 1

Reference block 2

Reference block 3

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Start with one small task

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