A wiki health checker that scans pages, links, fields, citations, and graph relationships against the project’s defined entity types.

Use it to generate a health report, preview or apply deterministic fixes, and receive suggestions for issues that require manual work.

It finds broken structure, invalid links, missing details, and consistency problems across the whole wiki instead of checking pages one at a time.

How skyllwt/AutoSci configures Claude Code

About the project

AutoSci is an AI research platform organized around a wiki, with an agent that supports stages of scientific work such as reading, experimentation, writing, and retaining knowledge across projects. It is for people building or using AI-assisted research workflows, with Claude Code, Codex, and OpenCode adaptations available. The catalogue add-ons extend those agent-specific workflows.

skyllwt/AutoSci · 1,706 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to skyllwt/AutoSci. 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/skyllwt/AutoSci/main/.claude/skills/check/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/skyllwt/AutoSci

Made for: Claude Code.

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/skyllwt/autosci/check/github.svg)](https://agentmods.dev/skills/skyllwt/autosci/check)

Your own site

<a href="https://agentmods.dev/skills/skyllwt/autosci/check"><img src="https://agentmods.dev/badge/skills/skyllwt/autosci/check/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/skyllwt/autosci/check"><img src="https://agentmods.dev/badge/skills/skyllwt/autosci/check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,303 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	$0.00032	$0.02303
Opus 5.5	$0.00013	$0.00921
Sonnet 5.5	$0.00006	$0.00461
Haiku 4.5	$0.00003	$0.00230

Measured 2mo ago against content hash ad192b90d281, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

check 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.

.claude/skills/check/SKILL.md · 192 lines

How it starts

The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/check

Scans the full wiki to detect structural, link, field, and graph health issues, and generates a tiered fix-recommendation report. Covers every entity type declared in runtime/schema/entities.yaml (papers, concepts, topics, people, ideas, experiments, methods, Summary, foundations), plus graph edge / citation consistency. Highlights include: idea novelty-score plausibility, idea failure-reason completeness, experiment linked_idea validity.

Inputs

Full wiki directory (default wiki/)
Optional: --json flag (output JSON format via tools/lint.py)
Optional: --fix flag (auto-fix deterministic issues)
Optional: --fix --dry-run (preview fixes without applying them)
Optional: --suggest flag (show recommendations for issues that cannot be auto-fixed)

Outputs

Lint report (reported directly to the user)
Optional file write: wiki/outputs/lint-report-{date}.md

Wiki Interaction

Reads

wiki/papers/*.md — paper page fields and links
wiki/concepts/*.md — concept page fields and links
wiki/topics/*.md — topic page fields and links
wiki/people/*.md — people page fields and links
wiki/ideas/*.md — idea status, novelty_score, failure_reason, origin_gaps, target_venue
wiki/experiments/*.md — experiment status, linked_idea, outcome
wiki/methods/*.md — method type, source_papers, parent/child chains
wiki/Summary/*.md — survey page fields
wiki/foundations/*.md — foundations (terminal — incoming-link checks only)
wiki/graph/edges.jsonl — semantic graph edge consistency check
wiki/graph/citations.jsonl — bibliographic citation consistency check
wiki/index.md — cross-check page completeness

Writes

Does not directly modify wiki content (reports only, unless --fix is set)
wiki/log.md — records lint result summary via tools/research_wiki.py log

Workflow

Pre-conditions: confirm the working directory is the wiki project root (directory containing wiki/, raw/, tools/). Set WIKI_ROOT=wiki/.

Read the full file on GitHub · 192 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.

2mo ago First seen · 192 lines · 32 tokens per session scan A ad192b90d281

Subscribe to this mod's changes

check is a skill published in the GitHub repository skyllwt/AutoSci (1,706 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 2,303 once invoked, about $0.0001 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.

Debugging

check next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
checkskyllwt/AutoSci	Skill	1.7k	1mo ago	MIT	A	32	Claude Code
systematic-debuggingopen-metadata/OpenMetadata	Skill	16k	yesterday	Apache-2.0	A	37	Claude Code
log-error-digestzebbern/claude-code-guide	Skill	4.7k	3d ago	MIT	A	71	Claude Code, Codex
cwv-optimizeradobe/skills	Skill	319	yesterday	Apache-2.0	A	112	Claude Code
ci-fixersipyourdrink-ltd/bernstein	Skill	1.2k	yesterday	Apache-2.0	A	15	Claude Code, Codex
incident-response-incident-responsermyndharis/antigravity-skills	Skill	1.9k	23d ago	MIT	A	36	Claude Code
triaging-web-analytics-supportPostHog/posthog	Skill	41k	today	none	A	151	Claude Code, Codex

AutoSci: Skill for Claude Code