AG Kit is a toolkit that gives Google Antigravity coding agents a structured workspace with rules, skills, specialist agents, workflows, persistent memory, orchestration, MCP guidance, and a safety hook. It is for building and operating agent workflows in Antigravity, and its catalogue entries provide parts of that workspace contract.
Borrowing it
Nothing to install: this file belongs to vudovn/ag-kit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/vudovn/ag-kit/main/.agents/skills/lint-and-validate/SKILL.mdgit clone --depth 1 https://github.com/vudovn/ag-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/skills/vudovn/ag-kit/lint-and-validate)<a href="https://agentmods.dev/skills/vudovn/ag-kit/lint-and-validate"><img src="https://agentmods.dev/badge/skills/vudovn/ag-kit/lint-and-validate/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.
<a href="https://agentmods.dev/skills/vudovn/ag-kit/lint-and-validate"><img src="https://agentmods.dev/badge/skills/vudovn/ag-kit/lint-and-validate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 16 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 17 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 27 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00048 | $0.00488 |
| Opus 5 | $0.00024 | $0.00244 |
| Sonnet 5 | $0.00010 | $0.00098 |
| Haiku 4.5 | $0.00005 | $0.00049 |
Grade A, and why
lint-and-validate 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 9d 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- lint-and-validate — 86% identical, 5 lines differ
- lint-and-validate — 86% identical, 12 lines differ
- lint-and-validate — 84% identical, 4 lines differ
- lint-and-validate — 84% identical, 4 lines differ
- lint-and-validate — 84% identical, 4 lines differ
- lint-and-validate — 84% identical, 11 lines differ
- lint-and-validate — 84% identical, 4 lines differ
- lint-and-validate — 84% identical, 4 lines differ
What it actually says
Lint and Validate Skill
MANDATORY: Run appropriate validation tools after EVERY code change. Do not finish a task until the code is error-free.
Procedures by Ecosystem
Node.js / TypeScript
- Lint/Fix:
npm run lintornpx eslint "path" --fix - Types:
npx tsc --noEmit - Security:
npm audit --audit-level=high
Python
- Linter (Ruff):
ruff check "path" --fix(Fast & Modern) - Security (Bandit):
bandit -r "path" -ll - Types (MyPy):
mypy "path"
The Quality Loop
- Write/Edit Code
- Run Audit:
npm run lint && npx tsc --noEmit - Analyze Report: Check the "FINAL AUDIT REPORT" section.
- Fix & Repeat: Submitting code with "FINAL AUDIT" failures is NOT allowed.
Error Handling
- If
lintfails: Fix the style or syntax issues immediately. - If
tscfails: Correct type mismatches before proceeding. - If no tool is configured: Check the project root for
.eslintrc,tsconfig.json,pyproject.tomland suggest creating one.
Strict Rule: No code should be committed or reported as "done" without passing these checks.
Scripts
| Script | Purpose | Command |
|---|---|---|
scripts/lint_runner.py |
Unified lint check | python scripts/lint_runner.py <project_path> |
scripts/type_coverage.py |
Type coverage analysis | python scripts/type_coverage.py <project_path> |
What ships with it
2 files 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.
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.
- 9d ago First seen · 48 lines · 48 tokens per session scan A f56e3bc04bd6
lint-and-validate is a skill published in the GitHub repository vudovn/ag-kit (8,170 stars, last pushed 2d ago), licensed MIT. It adds 48 tokens to every session and 488 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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