Claude Scholar is a semi-automated research assistant for academic research and software development, supporting literature review, coding, experiments, reporting, writing, and project knowledge management. Computer science and AI researchers use it across the research workflow with several coding-agent platforms; the catalogue contains its skills, commands, agents, hooks, plugin, and instruction.
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.
npx skills add Galaxy-Dawn/claude-scholar --skill citation-verificationgit clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholarWrote 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/galaxy-dawn/claude-scholar/citation-verification)<a href="https://agentmods.dev/skills/galaxy-dawn/claude-scholar/citation-verification"><img src="https://agentmods.dev/badge/skills/galaxy-dawn/claude-scholar/citation-verification/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/galaxy-dawn/claude-scholar/citation-verification"><img src="https://agentmods.dev/badge/skills/galaxy-dawn/claude-scholar/citation-verification.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Excessive Agency · line 103 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00063 | $0.01679 |
| Opus 5 | $0.00032 | $0.00839 |
| Sonnet 5 | $0.00013 | $0.00336 |
| Haiku 4.5 | $0.00006 | $0.00168 |
Grade A, and why
citation-verification 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Citation Verification Reference Guide
A reference guide for citation verification in academic paper writing, providing verification principles and best practices.
Core Principle: Proactively verify every citation during the writing process using programmatic or canonical scholarly sources first: arXiv, DOI/CrossRef, Semantic Scholar, publisher landing pages, and Zotero metadata. Google Scholar is useful for manual discovery, but it is not the canonical verification authority.
Core Problems
Citation issues in academic papers seriously impact research integrity:
- Fake citations - Citing non-existent papers (common issue with AI-generated citations)
- Incorrect information - Mismatched authors, titles, years, etc.
- Inconsistent formatting - Mixed citation formats
- Missing citations - Referenced but uncited work
These issues can lead to:
- Paper rejection or retraction
- Damage to academic reputation
- Reviewers questioning research rigor
Special risk with AI-assisted writing: AI-generated citations have approximately 40% error rate; every citation must be verified via WebSearch.
Verification Principles
This skill provides verification principles based on canonical scholarly metadata and claim-level checking:
1. Proactive Verification (Verify During Writing)
Core idea: Verify immediately when adding a citation, rather than checking after writing is complete.
- Search for the paper via WebSearch each time a citation is needed
- Confirm the paper exists on Google Scholar
- Add to bibliography only after verification passes
2. Canonical Metadata Verification
Preferred authority order:
- DOI / publisher landing page
- arXiv ID or arXiv landing page
- CrossRef
- Semantic Scholar
- Zotero metadata imported from a verified identifier
- Google Scholar only for manual discovery or fallback lookup
Verification steps:
- Find a DOI, arXiv ID, publisher URL, or verified Zotero item.
- Confirm title, first author, year, venue, and identifier.
- Fetch BibTeX from CrossRef, arXiv, publisher metadata, Zotero, or another programmatic source when possible.
- If only Google Scholar can find the item, mark it as manual verification and do not treat the BibTeX as final until metadata is checked elsewhere.
What ships with it
8 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.
- 11d ago First seen · 205 lines · 63 tokens per session scan A c98a1be776ee
citation-verification is a skill published in the GitHub repository Galaxy-Dawn/claude-scholar (5,419 stars, last pushed 14d ago), licensed MIT. It adds 63 tokens to every session and 1,679 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.
Other skills, from other repositories
fin-ref-paper
A reference-management tool for economics and finance research documents. It extracts citation details from research files and creates a references.bib file in formats such as BibTeX, JF, JFE, RFS, or GB/T 7714.
inno-reference-audit
This skill provides reference guidance for citation verification in academic writing.
inno-reference-audit
This skill provides reference guidance for citation verification in academic writing. Use when the user asks about "citation verification best practices", "how to verify references", "preventing fake citations", or needs guidance on citation accuracy. This skill supports ml-paper-writing by providing detailed…
inno-reference-audit
This skill provides reference guidance for citation verification in academic writing. Use when the user asks about "citation verification best practices", "how to verify references", "preventing fake citations", or needs guidance on citation accuracy. This skill supports ml-paper-writing by providing detailed…
ai4scholar-文献审计助手
A reference-list audit for academic papers that checks citations, formatting, identifiers such as DOIs and URLs, journal names, metadata, completeness, duplicates, self-citations, and ordering. DOI means a persistent identifier for a research publication.
citation-verification
This skill provides reference guidance for citation verification in academic writing. Use when the user asks about "citation verification best practices", "how to verify references", "preventing fake citations", or needs guidance on citation accuracy. This skill supports ml-paper-writing by providing detailed…