Linserin Yang's Notes

Last scanned notes.linserin.workCustom platform15 pages tested

AI agents can find, read and use these docs well. Linserin Yang's Notes scores 95 out of 100 (grade A), passing 22 of 26 checks. 4 still need work.

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Developer docs

Kind of site

22/26

Checks passed

2

Partly passed

2

Failed

Access

Content discoverability6 passed1 partly
  • llms.txt follows the standard structure

    llms.txt contains parseable links but doesn't fully follow the proposed structure: https://notes.linserin.work/llms.txt: No blockquote summary found

    Your llms.txt contains parseable links but doesn't follow the standard structure. Add an H1 title as the first line and a blockquote summary (lines starting with >) to improve agent parsing.

    Check your fix: llms.txt starts with a # Title, then a > summary line, then ## sections of links.

  • llms.txt exists

    llms.txt found at https://notes.linserin.work/llms.txt

  • llms.txt fits in an agent's context

    llms.txt is 373 characters (under 50,000 threshold)

  • llms.txt links work

    All 4 same-origin links resolve (4 total links)

  • llms.txt links point to Markdown

    4/4 same-origin links point to markdown content (100%)

  • Pages point agents to llms.txt

    llms.txt directive found in HTML of all 15 sampled pages, near the top of content

  • Markdown pages point agents to llms.txt

    llms.txt directive found in markdown of all 15 sampled pages, near the top of content

Markdown availability1 passed1 failed
  • Server returns Markdown when asked

    Server ignores Accept: text/markdown header (0/15 sampled pages return markdown)

    Your server ignores Accept: text/markdown and returns HTML. Some agents (Claude Code, Cursor, OpenCode) request markdown this way. Configure your server to honor content negotiation.

    Check your fix: curl -sI -H "Accept: text/markdown" https://notes.linserin.work/go/ returns content-type: text/markdown.

  • Pages are available as Markdown

    15/15 sampled pages support .md URLs (100%)

Page size and truncation3 passed1 failed
  • Content starts near the top

    4 of 15 sampled pages have content starting past 50% (worst 100%)

    4 of 15 pages have content starting past 50% of the converted output. Agents may never see the documentation content. Reduce navigation, breadcrumb, and sidebar markup that precedes the content area.

  • Content is in the HTML without JavaScript

    All 15 sampled pages contain server-rendered content

  • Markdown pages fit in context

    All 15 pages under 50K chars (median 1K, max 5K)

  • HTML pages fit in context

    All 15 sampled pages under 50K chars (median 96K HTML โ†’ 7K markdown (93% boilerplate))

Content structure2 passed
  • Headings inside tabs name their variant

    1 page(s) with tabs found, but no section headers inside tab panels to evaluate

  • Tabs don't bloat the page

    4 tab group(s) across 1 of 15 sampled pages; all serialize under 50K chars

  • Code blocks are well-formed

    All 66 code fences properly closed across 16 pages

URL stability2 passed
  • Missing pages return a real 404

    All 15 sampled pages return proper error codes for bad URLs

  • Redirects stay on the same host

    No redirects detected across 15 sampled pages

Content health2 passed1 partly
  • Markdown matches the HTML page

    3 of 15 pages have minor content differences between markdown and HTML

    3 pages have minor content differences between their markdown and HTML versions.

  • llms.txt covers the whole site

    llms.txt covers 98% of 46 sitemap doc pages

  • Cache headers allow timely updates

    All 16 endpoints have appropriate cache headers

Authentication and access1 passed
  • Gated docs offer another way in

    All docs pages are publicly accessible; no alternative access paths needed

  • Docs are readable without logging in

    All 15 sampled pages are publicly accessible

Crawler access2 passed
  • Crawlers and AI assistants may read the docs

    robots.txt lets Googlebot, Bingbot, OAI-SearchBot, PerplexityBot, Claude-SearchBot and Claude-User read the docs. Also blocked: GPTBot, ClaudeBot, Google-Extended and CCBot (training crawlers; opting out of training is a policy choice, not scored).

  • Sitemap lists the docs pages

    The sitemap at https://notes.linserin.work/sitemap-index.xml lists 17 of the 17 docs pages found through llms.txt and page links.

Freshness

Maintenance3 passed
  • Pages say when they were last changed

    15 of 15 sampled pages state when they were last changed.

  • Links and section anchors work

    All 10 links and 4 section anchors checked on the sampled pages work. 1 more could not be verified (timeouts or blocked requests) and is not counted.

  • Sitemap entries still exist

    All 10 sitemap entries sampled still exist.

Consistency with the API specNot applicable
  • Endpoints in the docs exist in the API spec

    No OpenAPI description was found, so the docs could not be compared with a spec.

CurrencyNot applicable
  • Deprecated operations are marked as such

    No OpenAPI description was found, so deprecation notices could not be compared with a spec.

Additional checks

Not part of the score: optional extras that help agents use your docs.

  • MCP server is discoverable

    No MCP server was found for these docs.

    Offer a read-only MCP server with a search tool over your docs, and link it from llms.txt, so agents in Cursor, Claude and ChatGPT can query your docs directly.

  • llms-full.txt is available

    llms-full.txt found at https://notes.linserin.work/llms-full.txt (85,249 characters).

  • Agent skills are published

    No agent skills index was found at /.well-known/agent-skills/index.json.

    Publish an Agent Skills index at /.well-known/agent-skills/index.json with a SKILL.md for your main tasks, so agents can load task instructions without reading every page.

About this scan

Scanned
Oct 21, 2026
Pages tested
15 of 45 found
Platform
Unknown
Kind of site
Developer docs
AFDocs score, on its own
94 (A), 17 of 23 checks pass
  • Based on 15 sampled pages, chosen deterministically from the sitemap and llms.txt. Pages outside the sample were not read.
  • Pages were fetched without running JavaScript, the way most AI agents read the web.
  • Answerability, where an AI agent answers real questions written from these pages, runs in the open-source scanner with your own API key. This web score is made of Access and Freshness.

Methodology 2026-09.6 ยท AFDocs 0.20.0

Pages we sampled (15)
  • https://notes.linserin.work/go/
  • https://notes.linserin.work/go/01-abc/calc/
  • https://notes.linserin.work/go/01-abc/go-func/
  • https://notes.linserin.work/go/01-abc/input-and-formatting/
  • https://notes.linserin.work/go/01-abc/using-go-standard-library/
  • https://notes.linserin.work/go/02-libraries/file-operating/
  • https://notes.linserin.work/go/02-libraries/log/
  • https://notes.linserin.work/go/03-network-requests/
  • https://notes.linserin.work/go/03-network-requests/http/
  • https://notes.linserin.work/misc/
  • https://notes.linserin.work/misc/identity-authentication/jwt/
  • https://notes.linserin.work/misc/maintain-works/1-coding/
  • https://notes.linserin.work/misc/mix-up-spaces/
  • https://notes.linserin.work/references/astro-quickstart/
  • https://notes.linserin.work/references/mdx-guide/

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HTML

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