What is flowreg-qc-and-audit?

A quality-control guide for FlowRegSuite results, a scientific workflow that corrects motion in imaging data.

It helps audit motion correction, displacement fields, valid regions, boundary behaviour, channel consistency, output completeness, and provenance records.

It checks whether a completed correction is scientifically usable and reproducible instead of treating a successful process or smoother-looking video as proof.

flowreg-qc-and-audit — Skill for Claude Code by FlowRegSuite

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-qc-and-audit

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/flowregsuite/flowreg-agent-skills/flowreg-qc-and-audit/github.svg)](https://agentmods.dev/skills/flowregsuite/flowreg-agent-skills/flowreg-qc-and-audit)

Your own site

<a href="https://agentmods.dev/skills/flowregsuite/flowreg-agent-skills/flowreg-qc-and-audit"><img src="https://agentmods.dev/badge/skills/flowregsuite/flowreg-agent-skills/flowreg-qc-and-audit/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/flowregsuite/flowreg-agent-skills/flowreg-qc-and-audit"><img src="https://agentmods.dev/badge/skills/flowregsuite/flowreg-agent-skills/flowreg-qc-and-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,980 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.

Model	Per session	Once invoked
Fable 5.1	$0.00074	$0.01980
Opus 5.5	$0.00030	$0.00792
Sonnet 5.5	$0.00015	$0.00396
Haiku 4.5	$0.00007	$0.00198

Measured 2mo ago against content hash 41cf5d7f040f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

flowreg-qc-and-audit 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 2mo ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/qc_displacement.py, scripts/validate_artifact.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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-qc-and-audit/SKILL.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Quality control and provenance audit

1. Purpose

Decide whether a completed run actually produced a scientifically usable result, and whether the record of it is complete enough for someone else to trust and reproduce.

A zero exit code is not a result. Neither is a corrected video that looks smoother.

2. Use this skill when

Any registration run has finished — this skill is required after every executable workflow.
Corrected data and a displacement field exist and need assessment.
A run must be audited for provenance completeness or reproducibility.
Someone claims a correction worked and you need evidence either way.

3. Do not use this skill when

You are choosing a workflow or parameters → flowreg-plan.
You are executing a run → the relevant execution skill.
You are performing scientific motion analysis for its own sake — drift trajectories, deformation measurement, magnification. That is the analyze-motion capability, which ships no skill in this release. Correction QC and motion science are different questions; do not conflate them.

4. Required inputs

The run directory, including the manifest and the resolved configuration.
The corrected output and, wherever it exists, the dense displacement field.
Access to the original recording, read-only, for before/after comparison.
The valid mask, statistics.npz and the z-shift field where the workflow produced them.
The plan, so the QC gates it declared can actually be evaluated.

If the displacement field was not saved, say so plainly: most of the checks below become not-assessable, and that is a materially weaker result than a pass.

5. Preflight checks

Read references/runtime-capability.md for each capability's conventions and output names.
Confirm which capability produced the run; the applicable checks differ (section 7).
Confirm the manifest exists and parses. A run without a manifest cannot be audited, only inspected.
Confirm the original data are reachable read-only. Never write to them.

Read the full file on GitHub · 162 lines

Files

What ships with it

9 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.

2mo ago First seen · 162 lines · 74 tokens per session scan A 41cf5d7f040f

Subscribe to this mod's changes

flowreg-qc-and-audit is a skill published in the GitHub repository FlowRegSuite/flowreg-agent-skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 74 tokens to every session and 1,980 once invoked, about $0.0003 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 2026-08-31.

Scientific

flowreg-qc-and-audit next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
flowreg-qc-and-auditFlowRegSuite/flowreg-agent-skills	Skill	2	3mo ago	MIT	A	74	Claude Code
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matlabK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	44	Claude Code
phylogeneticsK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	71	Claude Code, Codex
research-engineerdavila7/claude-code-templates	Skill	33k	yesterday	MIT	A	43	Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmed	Skill	5.8k	yesterday	Apache-2.0	A	205	Claude Code