A data-file tool that converts CSV files into Parquet files and checks them against a declared schema. CSV is a plain table format, while Parquet is a compact format commonly used by data warehouses.

Use it to convert, compact, or validate tabular data files before loading them into a warehouse.

It catches column type mismatches before the data is loaded, instead of silently changing values to make them fit.

good-skill — Skill for Claude Code and Codex by 0xNagato/skill-lint

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.

Any agent

npx skills add 0xNagato/skill-lint --skill good-skill

Clone the repo

git clone --depth 1 https://github.com/0xNagato/skill-lint

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/0xnagato/skill-lint/good-skill/github.svg)](https://agentmods.dev/skills/0xnagato/skill-lint/good-skill)

Your own site

<a href="https://agentmods.dev/skills/0xnagato/skill-lint/good-skill"><img src="https://agentmods.dev/badge/skills/0xnagato/skill-lint/good-skill/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/0xnagato/skill-lint/good-skill"><img src="https://agentmods.dev/badge/skills/0xnagato/skill-lint/good-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 194 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.

Model	Per session	Once invoked
Fable 5.1	$0.00049	$0.00194
Opus 5.5	$0.00020	$0.00078
Sonnet 5.5	$0.00010	$0.00039
Haiku 4.5	$0.00005	$0.00019

Measured 2mo ago against content hash 4c1d496719b9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

good-skill 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 2mo 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.

examples/good-skill/SKILL.md · 25 lines

What it actually says

Good skill

Passes every rule. Note what the description does: it says what the skill produces and the conditions under which to reach for it. That second half is what the router actually matches on, and it is the half most skills omit.

Steps

Read the source file and infer column types.
Compare against the declared schema; report mismatches rather than coercing.
Write Parquet with the validated schema.

Notes

Keep bodies focused. Detail that is only occasionally needed belongs in a separate file this skill points to, so it is read on demand rather than loaded into context on every turn.

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.

2mo ago First seen · 25 lines · 49 tokens per session scan A 4c1d496719b9

Subscribe to this mod's changes

good-skill is a skill published in the GitHub repository 0xNagato/skill-lint (0 stars, last pushed 28d ago), licensed MIT. It adds 49 tokens to every session and 194 once invoked, about $0.0002 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 2026-08-31.

Analytics and metrics Data and AI Python ai-agents linter llm-tooling mcp

good-skill next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
good-skill0xNagato/skill-lint	Skill	0	28d ago	MIT	A	49	Claude Code, Codex
schliffZandereins/schliff	Skill	18	yesterday	MIT	A	204	Claude Code
claude-apiZandereins/schliff	Skill	18	yesterday	MIT	A	193	Claude Code
pytorch-patternsaffaan-m/ECC	Skill	299k	yesterday	MIT	A	32	Claude Code, Kiro
developing-genkit-pythongoogle/skills	Skill	23k	today	Apache-2.0	A	49	Claude Code, Codex
optimize-for-gpuK-Dense-AI/scientific-agent-skills	Skill	56k	6d ago	MIT	A	151	Claude Code, Codex
pydantic-aidavila7/claude-code-templates	Skill	33k	today	MIT	A	32	Claude Code, Codex