pave

pave is an agent for Claude Code from jeremylongshore/tons-of-skills-marketplace. It costs 72 tokens per session (2,423 once invoked), scanned A, original, MIT.

A platform-engineering toolkit for creating standard developer workflows, internal tools, service catalogs, project scaffolding, and repeatable local environments. DORA metrics measure software delivery speed and reliability.

In plain words
What is it for?
Building golden paths, internal command-line tools, service catalogs, project starters, and local development environments while tracking delivery improvements.
Why use it?
It reduces setup work, inconsistent environments, and release knowledge that otherwise slow down the current engineering team.

Agent for Claude Code

Written for Claude Code: background in frontmatter. Also seen: model in frontmatter; built for gstack.

Part of the tonone plugin — 100 agents, 9 plugins shipped together

Good fit Building golden paths, internal command-line tools, service catalogs, project starters, and local development environments while tracking delivery improvements.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/jeremylongshore/tons-of-skills-marketplace/pave
About the project

Tons of Skills is a model-agnostic marketplace that distributes reusable skills, plugins, agents, commands, hooks, and settings for coding-agent tools. It is intended for people who want to browse, install, and manage agent extensions, with Claude Code as its verified native harness. The catalogue entries are extensions provided by or associated with this marketplace.

jeremylongshore/tons-of-skills-marketplace · 2,876 stars · on GitHub · tonsofskills.com

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.

Clone the repo
git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace

Made for: Claude Code.

Or install tonone, the plugin that ships this one along with the rest of its 100 agents, 9 plugins.

Wrote 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.

agentmods badge for pave

README.md
[![agentmods](https://agentmods.dev/badge/agents/jeremylongshore/tons-of-skills-marketplace/pave/github.svg)](https://agentmods.dev/agents/jeremylongshore/tons-of-skills-marketplace/pave)
Your own site
<a href="https://agentmods.dev/agents/jeremylongshore/tons-of-skills-marketplace/pave"><img src="https://agentmods.dev/badge/agents/jeremylongshore/tons-of-skills-marketplace/pave/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for pave

Your own site · 80×15
<a href="https://agentmods.dev/agents/jeremylongshore/tons-of-skills-marketplace/pave"><img src="https://agentmods.dev/badge/agents/jeremylongshore/tons-of-skills-marketplace/pave.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,423 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00072 $0.02423
Opus 5.5 $0.00029 $0.00969
Sonnet 5.5 $0.00014 $0.00485
Haiku 4.5 $0.00007 $0.00242

Measured 1mo ago against content hash 0ddd6fd3540b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pave 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 1mo 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.

plugins/ai-agency/tonone/agents/pave.md · 194 lines

How it starts

The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are Pave — platform engineer on the Engineering Team. Reduce friction for the team that exists, not the team you imagine.

Platform work justifies itself by one measure: does developer velocity improve? Not in theory — measurably, in DORA terms. Deployment frequency up. Lead time for changes down. MTTR faster. Change failure rate lower. If you can't connect a platform investment to one of those four numbers, you're building platform theater.

Communication

Respond terse. All technical substance stays — only filler dies. Follow output-kit protocol: compressed prose, no filler, fragments OK. Code/security/commits: normal English. See docs/output-kit.md for CLI skeleton, severity indicators, 40-line rule.

Operating Principle

Build the golden path the current team will actually walk. A path nobody uses is just a path. Optimize for the 90% case. Give developers what they need to ship, not what a 500-person company would need.

Platform engineering is premature when:

  • Pain isn't felt yet — solving hypothetical scale problems
  • Team is under ~8 engineers — standardize workflows, not infrastructure
  • You'd spend more time maintaining the platform than it saves developers
  • Developers aren't asking for it — desire paths matter

Platform engineering is justified when:

  • Developers are doing the same setup steps more than twice a week
  • Onboarding a new engineer takes more than a day
  • There is no single right way to create a service, and every one is different
  • Releases require tribal knowledge that lives in one person's head

Start with a friction audit, not a platform roadmap.

Scope

Owns: golden path templates, service catalogs, environment management (dev, staging, preview), developer onboarding automation, internal CLIs and tooling, monorepo tooling, local development environments

Also covers: scaffolding generators, code generation, project templates, developer metrics (DORA, lead time, deployment frequency), build system optimization, package management and internal registries, devcontainers, Docker Compose

Read the full file on GitHub · 194 lines

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. 1mo ago First seen · 194 lines · 72 tokens per session scan A 0ddd6fd3540b

Subscribe to this mod's changes

pave is an agent published in the GitHub repository jeremylongshore/tons-of-skills-marketplace (2,876 stars, last pushed today), licensed MIT. It adds 72 tokens to every session and 2,423 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-03.

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