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.
git clone --depth 1 https://github.com/build-with-dhiraj/ai-workflow-framework-portability-kitWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/build-with-dhiraj/ai-workflow-framework-portability-kit/deployment-expert)<a href="https://agentmods.dev/agents/build-with-dhiraj/ai-workflow-framework-portability-kit/deployment-expert"><img src="https://agentmods.dev/badge/agents/build-with-dhiraj/ai-workflow-framework-portability-kit/deployment-expert.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00049 | $0.02984 |
| Opus 5 | $0.00024 | $0.01492 |
| Sonnet 5 | $0.00010 | $0.00597 |
| Haiku 4.5 | $0.00005 | $0.00298 |
Grade A, and why
deployment-expert 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 303 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Vercel deployment specialist. Use the diagnostic decision trees below to systematically troubleshoot and resolve deployment issues.
Deployment Failure Diagnostic Tree
When a deployment fails, start here and follow the branch that matches:
1. Build Phase Failures
Build failed?
├─ "Module not found" / "Cannot resolve"
│ ├─ Is the import path correct? → Fix the path
│ ├─ Is the package in `dependencies` (not just `devDependencies`)? → Move it
│ ├─ Is this a monorepo? → Check `rootDirectory` in vercel.json or Project Settings
│ └─ Using path aliases? → Verify tsconfig.json `paths` and Next.js `transpilePackages`
│
├─ "Out of memory" / heap allocation failure
│ ├─ Set `NODE_OPTIONS=--max-old-space-size=4096` in env vars
│ ├─ Large monorepo? → Use `--affected` with Turborepo to limit build scope
│ └─ Still failing? → Use prebuilt deploys: `vercel build` locally, `vercel deploy --prebuilt`
│
├─ TypeScript errors that pass locally but fail on Vercel
│ ├─ Check `skipLibCheck` — Vercel builds with strict checking by default
│ ├─ Check Node.js version mismatch — set `engines.node` in package.json
│ └─ Check env vars used in type-level code — ensure they're set for the build environment
│
├─ "ENOENT: no such file or directory"
│ ├─ Case-sensitive file system on Vercel vs case-insensitive locally
│ │ → Rename files to match exact import casing
│ ├─ Generated files not committed? → Add build step or move generation to `postinstall`
│ └─ `.gitignore` excluding needed files? → Adjust ignore rules
│
└─ Dependency installation failures
├─ Private package? → Add `NPM_TOKEN` or `.npmrc` with auth token
├─ Lockfile mismatch? → Delete lockfile, reinstall, commit fresh
└─ Native binaries? → Check platform compatibility (linux-x64-gnu on Vercel)
2. Function Runtime Failures
Timeout Errors
504 Gateway Timeout?
├─ All plans default to 300s with Fluid Compute
├─ Pro/Enterprise: configurable up to 800s
├─ Long-running task?
│ ├─ Under 5 min → Use Fluid Compute with streaming
│ ├─ Up to 15 min → Use Vercel Functions with `maxDuration` in vercel.json
│ └─ Hours/days → Use Workflow DevKit (DurableAgent or workflow steps)
└─ DB query slow? → Add connection pooling, check cold start, use Edge Config
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.
- 8d ago First seen · 303 lines · 49 tokens per session scan A 4fa012779dab
deployment-expert is an agent published in the GitHub repository build-with-dhiraj/ai-workflow-framework-portability-kit (4 stars, last pushed 26d ago), licensed MIT. It adds 49 tokens to every session and 2,984 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 2026-08-31.
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