server-deploy

A deployment workflow for updating the perplexity-ai application on its configured production server.

In plain words
What is it for?
Use it to deploy, publish, rebuild, restart, or roll out the project from GitHub main to the configured server.
Why use it?
It reduces the risk of deploying uncommitted or mismatched code by checking the branch, pushed commit, remote checkout, build, container replacement, and health.

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/escapewu/perplexity-ai/server-deploy
Any agent
npx skills add escapeWu/perplexity-ai --skill server-deploy
Clone the repo
git clone --depth 1 https://github.com/escapeWu/perplexity-ai

Made for: Claude Code, Codex.

Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 641 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 $0.00046 $0.00641
Opus 5 $0.00023 $0.00320
Sonnet 5 $0.00009 $0.00128
Haiku 4.5 $0.00005 $0.00064

Measured 3d ago against content hash 616fcaf49352, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

server-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 3d 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.

.agents/skills/server-deploy/SKILL.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Server Deploy

Target

  • Local Git remote: origin
  • Branch: main
  • SSH host: oralce-chunchuan
  • Server directory: /root/perplexity
  • Remote Git remote: origin
  • Remote deployment entrypoint: ./deploy/compose.sh

Workflow

Perform the following sequence exactly.

  1. Confirm the local branch is main, review the intended diff, commit only the requested files, and push the exact commit.

    git push origin main
    
  2. Record the local commit and confirm origin/main resolves to the same SHA. Stop if the push or equality check fails.

    git rev-parse HEAD
    git ls-remote origin refs/heads/main
    
  3. Require a clean remote tracked worktree, fast-forward the server checkout, and verify that the remote commit equals the local commit. Substitute the recorded full SHA for <commit>.

    ssh oralce-chunchuan \
      "cd /root/perplexity && \
       test -z \"\$(git status --porcelain --untracked-files=no)\" && \
       git pull --ff-only origin main && \
       test \"\$(git rev-parse HEAD)\" = '<commit>'"
    
  4. Build the application image from that checked-out source on the server, replace the running container, wait for health, and verify the service.

    ssh oralce-chunchuan \
      'cd /root/perplexity && ./deploy/compose.sh up'
    
  5. Recheck health and status after deployment.

    ssh oralce-chunchuan \
      'cd /root/perplexity && \
       ./deploy/compose.sh verify && \
       ./deploy/compose.sh status && \
       docker inspect perplexity-mcp \
         --format "image={{.Image}} status={{.State.Status}} health={{.State.Health.Status}}"'
    

Invariants

  • Build the application from the server checkout. Do not pull, publish, or wait for a Docker Hub application image.
  • Preserve the server .env, token_pool_config.json, data/, and Docker volumes.
  • Stop when the remote tracked worktree is dirty; inspect and preserve changes instead of overwriting them.
  • Never force-push, run git reset or git clean, run docker compose down, or delete images or volumes.
  • Stop on a failed push, commit mismatch, build, health check, or status check.
  • Do not add authorship or attribution trailers unless the user explicitly requests them and provides the exact identity.

Read the full file on GitHub · 81 lines

Files

What ships with it

1 file 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. 3d ago First seen · 81 lines · 46 tokens per session scan A 616fcaf49352

Subscribe to this mod's changes

server-deploy is a skill published in the GitHub repository escapeWu/perplexity-ai (164 stars, last pushed 14d ago), licensed MIT. It adds 46 tokens to every session and 641 once invoked, about $0.0002 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 2026-08-30.

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