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Using meta shortcode in automatic link syntax does not render as link #13772

@skwde

Description

@skwde

I have:

  • searched the issue tracker for similar issues
  • installed the latest version of Quarto CLI
  • formatted my issue following the Bug Reports guide

Bug description

---
link: https://github.com/quarto-dev
---

<{{< meta link >}}>

does not render / preview as link.

While

<https://github.com/quarto-dev>

does properly render as link.

Workaround: 

[{{< meta link >}}]({{< meta link >}})
Image

Possibly related: #9903

Steps to reproduce

Run above qmd snippet via quarto preview.

Actual behavior

Link not properly rendered when using <{{< meta link >}}>

Expected behavior

Properly render link when using <{{< meta link >}}>

Your environment

  • IDE: VSCODE Version: 1.106.3
  • OS: debian trixie in dev container on MacOS

Quarto check output

$ quarto check
Quarto 1.8.26
[✓] Checking environment information...
      Quarto cache location: /home/stefan/.cache/quarto
[✓] Checking versions of quarto binary dependencies...
      Pandoc version 3.6.3: OK
      NOTE: Dart Sass version 1.59.1 does not strictly match 1.87.0 and strict checking is enabled. Please use 1.87.0.
      Deno version 2.3.1: OK
      Typst version 0.13.0: OK
[✓] Checking versions of quarto dependencies......OK
[✓] Checking Quarto installation......OK
      Version: 1.8.26
      Path: /opt/conda/envs/quarto/bin

[✓] Checking tools....................OK
      TinyTeX: v2025.12
      Chromium: (not installed)

[✓] Checking LaTeX....................OK
      Using: TinyTex
      Path: /home/stefan/.TinyTeX/bin/x86_64-linux
      Version: 2025

[✓] Checking Chrome Headless....................OK
      Chrome:  (not detected)

[✓] Checking basic markdown render....OK

[✓] Checking Python 3 installation....OK
      Version: 3.14.0 (Conda)
      Path: /opt/conda/envs/quarto/bin/python
      Jupyter: 5.9.1
      Kernels: python3

[✓] Checking Jupyter engine render....OK

[✓] Checking R installation...........(None)

      Unable to locate an installed version of R.
      Install R from https://cloud.r-project.org/

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