chen-academic-page-maintainer

chen-academic-page-maintainer is a skill for Claude Code from CHENyiru3/AI-Skills-Collections. It costs 56 tokens per session (675 once invoked), scanned A, original, MIT.

A maintenance guide for a specific Jekyll academic website repository. Jekyll is a tool that builds websites from templates and Markdown, and the guide covers pages such as publications, a CV, projects, and a research blog.

In plain words
What is it for?
Use it when updating, reviewing, reorganising, or extending this academic website and its related content or templates.
Why use it?
It helps keep repeated academic facts and website sections consistent while avoiding unapproved structural changes. It also tells the agent when to inspect reference files or ask before guessing.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the frontend plugin — 2 skills shipped together

Good fit Use it when updating, reviewing, reorganising, or extending this academic website and its related content or templates.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chenyiru3/ai-skills-collections/chen-academic-page-maintainer
Install

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.

Any agent
npx skills add CHENyiru3/AI-Skills-Collections --skill chen-academic-page-maintainer
Clone the repo
git clone --depth 1 https://github.com/CHENyiru3/AI-Skills-Collections

Made for: Claude Code.

Or install frontend, the plugin that ships this one along with the rest of its 2 skills.

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.

agentmods badge for chen-academic-page-maintainer

README.md
[![agentmods](https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/chen-academic-page-maintainer/github.svg)](https://agentmods.dev/skills/chenyiru3/ai-skills-collections/chen-academic-page-maintainer)
Your own site
<a href="https://agentmods.dev/skills/chenyiru3/ai-skills-collections/chen-academic-page-maintainer"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/chen-academic-page-maintainer/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.

agentmods 80×15 button for chen-academic-page-maintainer

Your own site · 80×15
<a href="https://agentmods.dev/skills/chenyiru3/ai-skills-collections/chen-academic-page-maintainer"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/chen-academic-page-maintainer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 675 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.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00056 $0.00675
Opus 5.5 $0.00022 $0.00270
Sonnet 5.5 $0.00011 $0.00135
Haiku 4.5 $0.00006 $0.00068

Measured 3d ago against content hash 42c7dc14c68e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

chen-academic-page-maintainer 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 3d 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.

skills-market/frontend/site-maintenance/chen-academic-page-maintainer/SKILL.md · 57 lines

How it starts

The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CHEN Academic Website Maintenance

Use only the user-identified website repository or explicit adoption of this workflow. Check the real site/configuration and relevant local instructions before applying saved paths or rules. Do not select an unrelated al-folio repository by similarity.

Read references/repo-map.md only when locating sources, edit-rules.md for a protected change, content-contracts.md for the affected section, and style-preferences.md when changing prose/design. Load skill-evolution.md only when maintaining this skill; ordinary site work does not require page-keeper or five mandatory reference reads.

Retain the site's contracts

  • Preserve identity, affiliation, degree/advisor/scholarship wording, future plans and publication status from exact user evidence. Supplied wording/authorization is sufficient; ask only when a consequential ambiguity remains.
  • Prefer source data/shared renderers to duplicate visible-page edits. Check the affected mirrors across homepage, CV, publications, projects, timeline and news.
  • Retain publication categories/order and full author lists unless changed by the request. Derive the current CV PDF from _config.yml cv_pdf_filename and verify filename-based display dates/links; do not hardcode a stale asset/date.
  • Keep the homepage version label Yiru's Version unless the user changes it.
  • Keep Tech Blog /tech-blog/ and its feed filtered to intentionally tagged/ categorized tech posts, excluding samples. Requested English/Chinese versions normally form one English-default bilingual post. Preserve responsive images and disable sample related-post blocks unless wanted.
  • Life galleries use confirmed user-provided photos; keep missing-image sections text-only rather than fabricating frames or publishing unconfirmed URLs.
  • Keep Research Radar distinct from milestone News. Preserve digest article facts, category/provider/generator metadata, optional hot-topic hint and the labeled Friday BioTech exception. This site's renderer does not imply moving generator, ranking, Zotero or RSS automation into the repository.

Read the full file on GitHub · 57 lines

Files

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.

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.

  1. 3d ago Changed · -163 lines · -23 tokens per session 42c7dc14c68e
  2. 1mo ago First seen · 220 lines · 79 tokens per session scan A fda5bf0a97e1

Subscribe to this mod's changes

chen-academic-page-maintainer is a skill published in the GitHub repository CHENyiru3/AI-Skills-Collections (2 stars, last pushed 3d ago), licensed MIT. It adds 56 tokens to every session and 675 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 2026-10-02.

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