Kubb is a modular code-generation framework that turns OpenAPI descriptions into type-safe TypeScript code, Zod schemas, and TanStack Query integrations. It is used by TypeScript developers to generate client code and related interfaces from API specifications. The catalogue contains extensions such as skills, commands, hooks, agents, and a plugin that support Kubb workflows.
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.
npx agentmods add skills/kubb-labs/kubb/prnpx skills add kubb-labs/kubb --skill prgit clone --depth 1 https://github.com/kubb-labs/kubbWrote 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/skills/kubb-labs/kubb/pr)<a href="https://agentmods.dev/skills/kubb-labs/kubb/pr"><img src="https://agentmods.dev/badge/skills/kubb-labs/kubb/pr.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 | $0.00023 | $0.00262 |
| Opus 5 | $0.00012 | $0.00131 |
| Sonnet 5 | $0.00005 | $0.00052 |
| Haiku 4.5 | $0.00002 | $0.00026 |
Grade A, and why
pr 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 4d 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.
What it actually says
PR Skill
This skill instructs agents on PR preconditions, changeset usage, and reviewer expectations.
When to Use
- When a user asks how to prepare a PR or what checks are required before merging
- When guiding contributors to create changesets or update the changelog
What It Does
- Enforces the PR checklist:
format, lint, typecheck, tests - Instructs on creating and using changesets for version bumps
- Describes release/merge expectations and documentation updates
Commands to Suggest
pnpm format && pnpm lint:fix
pnpm typecheck
pnpm test
pnpm changeset
Checklist
- CI green (unit tests, linters, typechecks)
- Documentation updated if public behavior changed
- No secrets in the PR
- Appropriate version bump via changeset
Related Skills
| Skill | Use For |
|---|---|
| ../changelog/SKILL.md | Update changelogs and changesets |
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.
- 4d ago First seen · 42 lines · 23 tokens per session scan A 8f5bda733f67
pr is a skill published in the GitHub repository kubb-labs/kubb (1,791 stars, last pushed today), licensed MIT. It adds 23 tokens to every session and 262 once invoked, about $0.0001 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.
Other skills, from other repositories
skmtc-architecture
Understand what SKMTC is, how its engine works, and the architectural invariants — for agents building or extending infrastructure around SKMTC rather than authoring generators or running the CLI. Covers the three-phase pipeline, the host/Worker boundary, cross-generator coordination, the manifest, the attribution /…
skmtc-debug
Diagnose failures in SKMTC sessions — no output, wrong output, error messages, bundle freshness, parseIssues, "Registered definition mismatch", ref cycles, "Module not found" in generated code, or any other broken behavior. Applies across both CLI usage and generator authoring contexts. Use this skill when the user…
skmtc-lang-kotlin
The Kotlin target-language layer for Skmtc generators (@skmtc/lang-kotlin): base factories, KtSnippet, the seven entity kinds, packages-from-paths imports, the head+value render model, KtAnnotation and the composition classes, sanitization and @SerialName placement, plus the current-API worked example (the shipped…
skmtc-retro-review
Aggregate friction log files across a time period to identify recurring patterns, classify each cluster by intervention type, produce a prioritized action plan with success criteria, and calculate convergence metrics. Complements skmtc-retro (which captures per-session signal) by acting as the system's actuator…
skmtc-retro
Run a self-retrospective on a SKMTC-related session — generator authoring, CLI configuration, debugging, or any sustained interaction involving @skmtc/core, @skmtc/cli, or @skmtc/gen- packages. Captures three distinct outputs: (1) friction entries (mistakes, surprises, overridden defaults, multi-cycle struggles), (2)…
skmtc-generator
Author and edit Skmtc generators — packages that project an OpenAPI domain model into application code. Method: clone the nearest stock generator, then apply the engine rules imitation can't teach. Assumes zero prior Skmtc knowledge. Use when asked to "write a skmtc generator", "author/clone/customize gen-x", "add a…