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 AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-digital-humanitiesgit clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-SkillsWrote 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/alterlab-ieu/alterlab-academic-skills/alterlab-digital-humanities)<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-digital-humanities"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-digital-humanities/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/alterlab-ieu/alterlab-academic-skills/alterlab-digital-humanities"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-digital-humanities.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00142 | $0.02681 |
| Opus 5 | $0.00071 | $0.01340 |
| Sonnet 5 | $0.00028 | $0.00536 |
| Haiku 4.5 | $0.00014 | $0.00268 |
Grade A, and why
alterlab-digital-humanities 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 7d 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Digital Humanities Methods and Tools
Overview
Digital humanities (DH) applies computational methods to the study of human culture, history, language, and society. It is not the replacement of humanistic inquiry with algorithms but the augmentation of interpretive scholarship with tools that can reveal patterns invisible to unaided reading, connect dispersed archives, visualize historical processes, and make cultural heritage accessible to broader audiences.
This skill covers the major computational methods used in humanities research: text mining and natural language processing (topic modeling with LDA and BERTopic, sentiment analysis, named entity recognition), corpus linguistics (concordance, collocation, frequency analysis, keyness), digital archiving and metadata standards (Dublin Core, TEI XML), geographic information systems (GIS) for historical research, network analysis of historical figures and literary characters, stylometry and computational authorship attribution, optical character recognition (OCR) workflows for digitizing historical texts, digital scholarly editions, data visualization for humanities data, distant reading as theorized by Franco Moretti, cultural analytics as developed by Lev Manovich, and the Python ecosystem for humanities computing (spaCy, NLTK, Voyant Tools, AntConc).
The skill is designed for humanities scholars who want to integrate computational methods into their research -- whether they are analyzing Victorian novels, mapping colonial trade networks, studying the evolution of political rhetoric, or building digital archives of endangered languages. No prior programming experience is assumed, though some methods require basic Python or R skills. For each method, the skill describes the intellectual rationale, practical implementation, available tools (from no-code to full programming), and critical perspectives on the method's limitations.
When to Use This Skill
Use this skill when you need to:
- Apply topic modeling (LDA, BERTopic) to a large text corpus to discover thematic patterns
- Perform sentiment analysis on historical texts, literary works, or political discourse
- Extract named entities (people, places, organizations, dates) from unstructured text
- Conduct corpus linguistics analysis: concordance, collocation, frequency, keyness
- Create or work with digital archives using Dublin Core or TEI XML metadata standards
- Use GIS to map historical events, trade routes, migration patterns, or spatial narratives
- Build and analyze networks of historical figures, literary characters, or intellectual influence
- Attribute authorship of disputed texts using stylometry and computational methods
- Digitize historical documents using OCR (Tesseract, Kraken, Transkribus)
- Create digital scholarly editions with critical apparatus
- Visualize humanities data using Palladio, Gephi, or custom tools
- Apply distant reading methods to analyze literary trends across large corpora
- Conduct cultural analytics on visual media, social media, or digital culture
- Work with Python NLP tools (spaCy, NLTK) for humanities text analysis
What ships with it
3 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.
- 7d ago First seen · 147 lines · 142 tokens per session scan A 141af4d443e0
alterlab-digital-humanities is a skill published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (66 stars, last pushed 8d ago), licensed MIT. It adds 142 tokens to every session and 2,681 once invoked, about $0.0007 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 2026-09-05.
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