Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/wanshuiyin/ARIS-in-AI-Offernpx agentmods add skills/wanshuiyin/aris-in-ai-offer/homepage-generatorWrote 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/wanshuiyin/aris-in-ai-offer/homepage-generator)<a href="https://agentmods.dev/skills/wanshuiyin/aris-in-ai-offer/homepage-generator"><img src="https://agentmods.dev/badge/skills/wanshuiyin/aris-in-ai-offer/homepage-generator/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/wanshuiyin/aris-in-ai-offer/homepage-generator"><img src="https://agentmods.dev/badge/skills/wanshuiyin/aris-in-ai-offer/homepage-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 Agent Snooping · line 263 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 264 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00129 | $0.04693 |
| Opus 5 | $0.00064 | $0.02346 |
| Sonnet 5 | $0.00026 | $0.00939 |
| Haiku 4.5 | $0.00013 | $0.00469 |
Grade A, and why
homepage-generator 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 12d 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 — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/homepage-generator — fact-checked academic homepage from CV
The only personal-site generator that fact-checks your CV before publishing. Cross-model adversarial review: the LLM that drafts your homepage never grades it. A deterministic Python pass checks your publication claims against DBLP on every render; an optional fresh Codex thread then reviews the prose and framing.
When to use
Generate a single-file HTML academic homepage. Optimized for PhD candidates, postdocs, and early-career researchers with public publications. v1 ships the theory-minimal persona (text-heavy academic page in the Zhxie / Avicenna lineage); active-researcher (paper thumbnails + news ticker variant) is planned.
Use when the user says 做个学术主页 · from CV generate homepage · aris-homepage · PhD personal site · GitHub Pages homepage.
Do NOT use for: portfolio sites needing image galleries; newsletter-funnel sites needing audience metrics; pure blog sites (use Jekyll/Hugo); tenured-faculty pages with student/teaching as top-level sections (use academicpages).
Public demo
A real-world dogfood example: https://wanshuiyin.github.io/ — homepage generated by this skill from a CV + the maintainer's previous manual page. Use it as a style and capability reference; do not copy any names, affiliations, advisors, awards, paper titles, or filenames into your own examples or tests (see Privacy below).
Quick start
This repo ships no installer — there is no
aris-homepageexecutable on any platform. Every invocation ispython <path>/aris_homepage.py, and the path is relative to wherever you are standing (note thecd ./sitebelow). On Windows also readWINDOWS_en.md/WINDOWS.md.
# Step 1 — bootstrap workspace from CV
python tools/aris_homepage.py init --from-cv ./cv.pdf --out ./site
cd ./site
# Step 2 — calling LLM agent (Claude / your agent) reads .aris-homepage/EXTRACTION_HANDOFF.md,
# then writes the extraction JSON to .aris-homepage/extraction.json.
# This step is NOT automated by the CLI — it's a designed handoff so the agent
# can use richer context (manual homepage URL, asset folder, your judgement).
# Step 3 — persist the extracted JSON into editable source files
# (we cd'd into ./site above, so the script is one level up now)
python ../tools/aris_homepage.py finalize
# Step 4 — review + tweak
$EDITOR profile.yml publications.bib bio.md news.md EXTRACTION_REVIEW.md
# Step 5 — render with fact-check (writes index.html + audit-report.md)
python ../tools/aris_homepage.py render --persona theory-minimal
What ships with it
5 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.
- 12d ago First seen · 268 lines · 129 tokens per session scan A 5f55ac29b9ac
homepage-generator is a skill published in the GitHub repository wanshuiyin/ARIS-in-AI-Offer (476 stars, last pushed yesterday), licensed MIT. It adds 129 tokens to every session and 4,693 once invoked, about $0.0006 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
developing-with-streamlit
Use for ALL Streamlit tasks: creating, editing, debugging, beautifying, styling, theming, optimizing, or deploying Streamlit apps. Also custom components, st.components.v2, HTML/JS/CSS work. Discovers and loads version-matched reference docs from the user's installed Streamlit (>=1.57). Triggers: streamlit, st.…
html-coder
Expert HTML development skill for building web pages, forms, and interactive content. Use when creating HTML documents, structuring web content, implementing semantic markup, adding forms and media, working with HTML5 APIs, or needing HTML templates, best practices, and accessibility guidance. Supports modern HTML5…
AwesomeWebpageMetaSkill
Build a local multimedia webpage project from a user topic, audience, language, style, and media preferences by framing requirements, researching, planning, acquiring media, generating files, packaging, validating, repairing, and delivering usage guidance.
adversarial-research-analyst
Adversarial research analysis framework that uses structured Bull/Bear/Arbiter debates to help users make better research judgments. Maintains a belief graph as backend engine, applies statistical calibration discipline, tracks phase transitions, and detects biases. MANDATORY TRIGGERS: Use this skill whenever the user…
guofeng-threejs
A skill for creating Chinese-style real-time 3D web visuals with Three.js, a JavaScript library for displaying 3D graphics in a browser. It focuses on ink-wash, blue-green landscape, mural, paper-cut, and other non-realistic styles.
chinese-web-themes
A collection of eight CSS themes for giving websites a Chinese-inspired visual style, with typography rules for Chinese text.