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Dependency Upgrade Harness Agent Pack

The judgment layer Renovate and Dependabot are missing: inventory outdated dependencies across every service, assess each upgrade's real blast radius from changelogs and usage, batch the safe ones, sequence the dangerous ones, and open verified upgrade PRs with rollback notes. Requires GitHub connected to your agent.

A 4-step agentic workflow pack for coding built to run with Claude, ChatGPT, Claude Code, and Cursor. It drives an AI agent connected to GitHub and Slack (for example via MCP), and still works without them — paste the relevant data in when the prompt asks. Most buyers get a reviewable result in about 12 minutes.

  • Inventory every outdated dependency across all services in one structured report — no manual scanning across package files
  • Score each upgrade by risk level and surface breaking changes before you touch a single file
  • Group safe patch upgrades into a single low-risk batch and sequence the risky major bumps separately
  • Open upgrade PRs with a defined test checklist so CI failures are expected, not surprises
  • Post a Slack summary of the upgrade plan so the team signs off before any code changes
  • Break the pattern of piling up upgrades until a security incident forces a dangerous bulk update
ClaudeClaudeCChatGPTClaude CodeClaude CodeCursorCursor
Requires connected tools. This pack is built to run inside an AI agent with GitHubGitHub, SSlack connected (for example via MCP) — each name links to its official connection guide. No connected tools? It still works — paste the relevant data in when the prompt asks.
promptscart.com / prompt-packs / dependency-upgrade-harness-agent-pack
Run in
Claude · ChatGPT +2
Your AI model
Step 1
Outdated Inventory
You give the agent your service scope — it reads every package manifest (package.json, requirements.txt, go.mod, pom.xml, etc.) via GitHub and lists every outdated dependency with current version, latest version, and release lag.
Step 2
Risk & Breaking-Change Review
You pass in the outdated inventory — the agent reads changelogs and release notes for each package and scores each upgrade as low, medium, or high risk with a short rationale.
Step 3
Upgrade Batching
You feed in the risk-ranked plan — the agent groups patch and minor upgrades into a safe batch PR and splits each high-risk major bump into its own isolated PR with a rationale.
Step 4 · optional
PR & Verification
You provide the batching plan — the agent opens a PR per batch on GitHub, adds a structured description listing every changed dependency and its risk score, and attaches a test checklist.
Output
Your deliverable
Copy-paste ready
Connected tools · via MCP
GitHubGitHubSSlack
One-time
$10
~3 hrs / week
time back

Prompt Customization Serviceoptional help adapting variables and output to your brand voice. Choose your tier at checkout (not tied to this prompt's price).

Instant download after payment
Refund as per the Refund Policy.
Email Support · 24h SLA
Lifetime updates

Models supported
Claude ClaudeC ChatGPTClaude Code Claude CodeCursor Cursor
Requires connected tools

Tap a tool for its official setup guide. Connect them to your AI agent (for example via MCP), or paste the data in manually.

Best valueSave $786
Get this pack + 101 more in the Lifetime Bundle

This pack is $10 on its own. Buying every pack separately costs $935. The Lifetime Bundle is $149 one-time — you save $786 (84% off) and unlock every future pack free.

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What ships with your purchase

Prompt files

Plain Markdown files with `{{variables}}` you fill in, ready to paste into ChatGPT, Claude, or Gemini. No setup, no tooling required.

Usage guide

Variable reference, model compatibility, examples, and customization tips so you can adapt the pack to your brand voice.

Lifetime updates

When we improve the pack, you get the new version automatically. Email support included with every purchase.

Models tested: Claude, ChatGPT, Claude Code, Cursor. Connected tools this pack drives: GitHub, Slack.

The workflow inside this pack

4 composable prompts you run in order — each one picks up where the last left off.

  1. Step 1

    Outdated Inventory

    You give the agent your service scope — it reads every package manifest (package.json, requirements.txt, go.mod, pom.xml, etc.) via GitHub and lists every outdated dependency with current version, latest version, and release lag.

  2. Step 2

    Risk & Breaking-Change Review

    You pass in the outdated inventory — the agent reads changelogs and release notes for each package and scores each upgrade as low, medium, or high risk with a short rationale.

  3. Step 3

    Upgrade Batching

    You feed in the risk-ranked plan — the agent groups patch and minor upgrades into a safe batch PR and splits each high-risk major bump into its own isolated PR with a rationale.

  4. Step 4 · optional

    PR & Verification

    You provide the batching plan — the agent opens a PR per batch on GitHub, adds a structured description listing every changed dependency and its risk score, and attaches a test checklist.

Perpetual (lifetime) use license

Your one-time purchase includes an ongoing right to use this prompt pack with the AI tools and models you control for your own and your clients' work — not for resale or public redistribution of the files as a product.

We keep the copyright

The prompt files, guides, examples, and bundled assets stay our copyrighted works (or our licensors'). Payment grants the limited license in our Terms only — it does not transfer ownership.

Need help adapting this prompt to your team? Add Prompt Customization Service at checkout.

FAQ

How long does it take to use Dependency Upgrade Harness Agent Pack?
Most buyers finish in a few minutes: open the prompt file, fill the variables, and paste into your model. The first run is the slowest because you decide variable values; reuse is instant.
Do I need GitHub and Slack connected to use Dependency Upgrade Harness Agent Pack?
This pack is built to run inside an AI agent with GitHub, Slack connected (for example via MCP), which automates the workflow end to end. No connected tools? It still works — paste the relevant data in when the prompt asks.
What if I get stuck?
Email support@promptscart.com. Free basic support is included with every purchase, and you'll get a reply from our team within 24 hours. If you need help adapting variables or output, we can schedule a call.
Do I need a paid plan with Claude?
The prompt works on free tiers of ChatGPT, Claude, and Gemini. Heavy use can hit free-tier limits; paid plans get longer context and faster responses, but the prompt itself is the value.
Can I customize the prompt?
Yes, completely. You own the prompt files: edit the role framing, add variables, swap output sections, fork it to match your brand voice. Support can help you plan customizations over email.
What if it doesn't work for me?
Refund as per our Refund Policy (https://promptscart.com/refund-policy). Or add Prompt Customization Service at checkout for help adapting variables and output to your workflow.