flowreg-correct-z-drift

flowreg-correct-z-drift is a skill for Claude Code from FlowRegSuite/flowreg-agent-skills. It costs 79 tokens per session (1,971 once invoked), scanned A, original, MIT.

A microscopy workflow that estimates where each pixel in a 2D recording sits along the depth axis of a known 3D image stack. It can also correct movement through that depth.

In plain words
What is it for?
Use it to measure per-pixel, per-frame depth positions or create a recording corrected for axial, or z-axis, drift.
Why use it?
It addresses recordings where structures fade in and out because the imaging plane moves up or down, rather than shifting left or right.

Skill for Claude Code

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

Part of the flowreg-agent-skills plugin — 7 skills shipped together

Good fit Use it to measure per-pixel, per-frame depth positions or create a recording corrected for axial, or z-axis, drift.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/flowregsuite/flowreg-agent-skills/flowreg-correct-z-drift
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 FlowRegSuite/flowreg-agent-skills --skill flowreg-correct-z-drift
Clone the repo
git clone --depth 1 https://github.com/FlowRegSuite/flowreg-agent-skills

Made for: Claude Code.

Or install flowreg-agent-skills, the plugin that ships this one along with the rest of its 7 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 flowreg-correct-z-drift

README.md
[![agentmods](https://agentmods.dev/badge/skills/flowregsuite/flowreg-agent-skills/flowreg-correct-z-drift/github.svg)](https://agentmods.dev/skills/flowregsuite/flowreg-agent-skills/flowreg-correct-z-drift)
Your own site
<a href="https://agentmods.dev/skills/flowregsuite/flowreg-agent-skills/flowreg-correct-z-drift"><img src="https://agentmods.dev/badge/skills/flowregsuite/flowreg-agent-skills/flowreg-correct-z-drift/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 flowreg-correct-z-drift

Your own site · 80×15
<a href="https://agentmods.dev/skills/flowregsuite/flowreg-agent-skills/flowreg-correct-z-drift"><img src="https://agentmods.dev/badge/skills/flowregsuite/flowreg-agent-skills/flowreg-correct-z-drift.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,971 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 $0.00079 $0.01971
Opus 5 $0.00039 $0.00986
Sonnet 5 $0.00016 $0.00394
Haiku 4.5 $0.00008 $0.00197

Measured 12d ago against content hash 713c35ddebd8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

flowreg-correct-z-drift 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.

skills/flowreg-correct-z-drift/SKILL.md · 158 lines

How it starts

The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Axial (z) drift estimation and correction

1. Purpose

Estimate, per pixel and per frame, where in a reference volume the imaging plane actually was, and optionally correct the recording for that axial displacement.

The output is an axial position field, not a displacement field. It says which reference slice each pixel best matches.

2. Use this skill when

  • A 2D recording drifts along z through tissue for which a reference z stack exists.
  • Structures fade in and out rather than translating within the plane.
  • You need a z-shift field as a measurement, a z-corrected recording, or both.

3. Do not use this skill when

  • The motion is in-plane → flowreg-register-2d. Axial correction does not fix x-y motion, and in-plane correction does not fix axial motion. Recordings often need both.
  • You are registering volume to volume → flowreg-register-3d.
  • You want to align independently acquired 2D slices to each other. That is not a supported capability; say so rather than improvising.
  • You already corrected a 3D acquisition and simply want one plane out of it. That is plane extraction from a register-3d result, a different operation with different failure modes.
  • No reference volume exists. This capability requires one; there is no substitute.

4. Required inputs and metadata

  • The recording, with explicit axis order (T, H, W, C).
  • A reference volume, with explicit axis order (Z, H, W, C) — or a source recording from which one can be built.
  • Channel correspondence between recording and volume. Mismatched channels produce a confident, meaningless z field.
  • z spacing and its physical unit. The runtime works in slice indices; converting to micrometres is your responsibility, and the manifest must carry the spacing.
  • x-y spacing.
  • The nominal imaging plane, if known — useful for sanity-checking the estimated anchor.
  • The intended z search half-width, patch size and patch overlap.
  • Whether in-plane pre-alignment of the recording is needed first.
  • What is wanted: a z-shift field, a corrected recording, or both.

Read the full file on GitHub · 158 lines

Files

What ships with it

3 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. 12d ago First seen · 158 lines · 79 tokens per session scan A 713c35ddebd8

Subscribe to this mod's changes

flowreg-correct-z-drift is a skill published in the GitHub repository FlowRegSuite/flowreg-agent-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 79 tokens to every session and 1,971 once invoked, about $0.0004 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 2026-08-31.

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