lint

lint is a skill for Claude Code, Codex from superhero-tech/super-brain. It costs 52 tokens per session (1,247 once invoked), scanned A, original, MIT.

A health check for a compiled personal wiki that finds structural problems such as missing citations, orphaned pages, outdated indexes, and stale content.

In plain words
What is it for?
Use it for monthly maintenance, before high-cost decisions, or whenever you need a ranked report of wiki problems.
Why use it?
It reveals whether the wiki is organized and maintained before someone relies on it for an important decision. It does not reliably prove that the reasoning is correct.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/superhero-tech/super-brain/lint
Any agent
npx skills add superhero-tech/super-brain --skill lint
Clone the repo
git clone --depth 1 https://github.com/superhero-tech/super-brain

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.

agentmods badge for lint

README.md
[![agentmods](https://agentmods.dev/badge/skills/superhero-tech/super-brain/lint.svg)](https://agentmods.dev/skills/superhero-tech/super-brain/lint)
Your own site
<a href="https://agentmods.dev/skills/superhero-tech/super-brain/lint"><img src="https://agentmods.dev/badge/skills/superhero-tech/super-brain/lint.svg" alt="Measured on agentmods" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,247 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00052 $0.01247
Opus 5 $0.00026 $0.00624
Sonnet 5 $0.00010 $0.00249
Haiku 4.5 $0.00005 $0.00125

Measured 3d ago against content hash c3beb841a87c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

lint 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 3d 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.

.agents/skills/lint/SKILL.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lint

Find what has rotted in the wiki, rank it, and hand the list to the human. Fixing is a separate decision.

Write the report in the language the wiki is written in.

How to invoke

  • "Check the wiki", "run a lint", "health check"
  • The monthly maintenance pass
  • Before the human leans on the vault for something expensive

What this catches, and what it does not

Structural problems - missing citations, orphans, index drift, stale pages - it finds reliably, because they are mechanical.

Reasoning errors it finds badly. The model running this check shares its blind spots with the model that wrote the pages, so a clean report means the wiki is tidy, not that it is right. Say this out loud when you hand over a report with no errors. 8-System/limits.md has the longer version.

How it works

1. Decide whether there is anything to check

Count the pages in 4-Knowledge/. Under ten, say there is not enough wiki to lint yet and stop. An empty report trains the human to ignore the next one.

2. Read everything

Read 4-Knowledge/index.md, then every wiki page. This is the one workflow that does not get to work from the index alone.

3. Classify what you find

Severity What to look for
ERROR Two pages that contradict each other
ERROR Claims with no [source: ...] citation
ERROR Index entries pointing at pages that do not exist, or pages missing from the index
ERROR A sources: entry or [source: ...] citation naming a file that is not in 5-Raw/
WARN Orphan pages - nothing links to them
WARN Pages marked status: needs_update, or with last_updated older than six months
WARN Pages with source_count: 1 that assert more than one source can carry
INFO Concepts mentioned across several pages with no page of their own
INFO People, companies or tools named on three or more pages with no entity page
INFO Entity pages longer than the concept pages they point at - the argument is in the wrong place
INFO Connections worth making between existing pages

Read the full file on GitHub · 118 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. 3d ago First seen · 118 lines · 52 tokens per session scan A c3beb841a87c

Subscribe to this mod's changes

lint is a skill published in the GitHub repository superhero-tech/super-brain (110 stars, last pushed 9d ago), licensed MIT. It adds 52 tokens to every session and 1,247 once invoked, about $0.0003 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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