A health check for a compiled personal wiki that finds structural problems such as missing citations, orphaned pages, outdated indexes, and stale content.

Use it for monthly maintenance, before high-cost decisions, or whenever you need a ranked report of wiki problems.

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.

How superhero-tech/super-brain configures Claude Code and Codex

Reuse

Borrowing it

Nothing to install: this file belongs to superhero-tech/super-brain. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/superhero-tech/super-brain/main/.agents/skills/lint/SKILL.md

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/superhero-tech/super-brain/lint/github.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/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/superhero-tech/super-brain/lint"><img src="https://agentmods.dev/badge/skills/superhero-tech/super-brain/lint.svg" alt="Reviewed on agentmods" width="80" 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 1,235 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. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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	$0.00052	$0.01235
Opus 5.5	$0.00021	$0.00494
Sonnet 5.5	$0.00010	$0.00247
Haiku 4.5	$0.00005	$0.00123

Measured 10d ago against content hash d97eaa92877b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 10d 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.

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.

10d ago Changed d97eaa92877b
2mo 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 (827 stars, last pushed 11d ago), licensed MIT. It adds 52 tokens to every session and 1,235 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 2026-08-30.

Documents

lint next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
lintsuperhero-tech/super-brain	Skill	827	11d ago	MIT	A	52	Claude Code, Codex
orbit-notionnexu-io/open-design	Skill	106k	yesterday	Apache-2.0	A	117	Claude Code, Codex
instrument-data-to-allotropeanthropics/knowledge-work-plugins	Skill	35k	2d ago	Apache-2.0	A	123	Claude Code
apify-youtube-transcript-scrapersickn33/agentic-awesome-skills	Skill	49k	yesterday	MIT	A	48	Claude Code
legal-holdanthropics/claude-for-legal	Skill	9.9k	3d ago	Apache-2.0	A	68	Claude Code
ppt-reviewOrkas-AI/Orkas	Skill	9.0k	today	MIT	A	2	Claude Code, Codex
feishuHmbown/CodeWhale	Skill	41k	5d ago	MIT	A	33	Claude Code, Codex

super-brain: Skill for Claude Code