standardize-sci-images SKILL.md skillA

standardize-sci-images from zhoy0409-debug/polish-sci-figures is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add zhoy0409-debug/polish-sci-figures/standardize-sci-images@git:20261103.3b04300

Pins git:20261103.3b04300 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
zhoy0409-debug/polish-sci-figures
Path
skills/standardize-sci-images/SKILL.md
Versions recorded
7
Latest version
git:20261103.3b04300, committed Nov 3, 2026
First version recorded
Jul 19, 2026
Size
9,626 bytes
Repository stars
81
License
MIT

Scientific image standardization for microscopy, fluorescence, histology, pathology, Western blot, and electron-microscopy image batches. Use when the user has raw or derived scientific raster images needing non-destructive processing, locked tone settings, equal dimensions, calibrated scale bars, manifests, montages, duplicate-image screening, 图片查重, or image audit trails. Do not use for raw CSV/Excel charting or final-only SVG layout polishing.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Standardize Scientific Images

Prepare comparable scientific images as a documented batch. Preserve raw files, apply only declared global operations, and fail when an honest scale bar or comparable display cannot be produced.

## Start with the manifest

Read `references/image_contract.md`, then create a CSV manifest. At minimum it needs `file`, `output_name`, and `um_per_pixel` when a scale bar is requested. Add `batch` when images were acquired under different settings. The same comparison batch must share calibration and display settings.

```bash
python scripts/standardize_images.py manifest.csv \
  --outdir standardized --scale-bar-um 20
```

The command center-crops every image to a common pixel canvas and writes three practical derivatives: an unannotated display raster, a labelled preview, and an SVG panel whose faithful raster content remains embedded while scale bars and text stay editable vector/live layers. It also builds a montage and writes CSV/JSON audits containing source hashes and every operation. It never overwrites the source.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add zhoy0409-debug/polish-sci-figures/standardize-sci-images@sha256:594a0d863b374a6c

The line at the top of this page pins the label git:20261103.3b04300, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_eqniezwbud2vpxk5.svg)](https://markdownregistry.com/a/art_eqniezwbud2vpxk5)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 7 versions of this file, between Jul 19, 2026 and Nov 3, 2026, about one every 18 days.

versioncommittedcommitsizeaudit
git:20261103.3b04300 latest2026-11-03 3b04300 9,626 BA view · diff
git:20261028.538ab302026-10-28 538ab30 8,152 BA view · diff
git:20261027.9eca8ba2026-10-27 9eca8ba 7,923 BA view · diff
git:20261027.e04ec7d2026-10-27 e04ec7d 7,484 BA view · diff
git:20261013.55dcfb52026-10-13 55dcfb5 6,946 BA view · diff
git:20260825.5aabfe42026-08-25 5aabfe4 5,537 BA view · diff
git:20260719.26aee632026-07-19 26aee63 5,218 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (9626 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

zhoy0409-debug/polish-sci-figures · 81 stars · license MIT · pushed 2026-11-04 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_eqniezwbud2vpxk5
GET https://markdownregistry.com/api/v1/resolve?ref=zhoy0409-debug/polish-sci-figures/standardize-sci-images
GET https://markdownregistry.com/api/v1/blob/594a0d863b374a6c263a20c07214f96bae2f5175ee195c6212997b4a2452d634

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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