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.
git clone --depth 1 https://github.com/gmickel/flow-nextWrote 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.
[](https://agentmods.dev/commands/gmickel/flow-next/memory-migrate)<a href="https://agentmods.dev/commands/gmickel/flow-next/memory-migrate"><img src="https://agentmods.dev/badge/commands/gmickel/flow-next/memory-migrate/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.
<a href="https://agentmods.dev/commands/gmickel/flow-next/memory-migrate"><img src="https://agentmods.dev/badge/commands/gmickel/flow-next/memory-migrate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00038 | $0.00165 |
| Opus 5.5 | $0.00015 | $0.00066 |
| Sonnet 5.5 | $0.00008 | $0.00033 |
| Haiku 4.5 | $0.00004 | $0.00016 |
Grade A, and why
memory-migrate 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 29d 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.
What it actually says
IMPORTANT: This command MUST invoke the skill flow-next-memory-migrate
The ONLY purpose of this command is to call the flow-next-memory-migrate skill. You MUST use that skill now.
Arguments: $ARGUMENTS
Pass the arguments to the skill verbatim. The skill handles mode detection (mode:autofix token), legacy-file detection, per-entry classification, categorized writes, verification, and optional cleanup.
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.
- 29d ago Changed · +1 lines f62bbc489e5c
- 1mo ago First seen · 14 lines · 38 tokens per session scan A f05fbf23c72e
memory-migrate is a command published in the GitHub repository gmickel/flow-next (713 stars, last pushed today), licensed MIT. It adds 38 tokens to every session and 165 once invoked, about $0.0002 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 2026-09-03.
Other commands, from other repositories
memory
USE WHEN recalling past decisions, storing new insights, forgetting stale memories, linking memories, or reviewing pending memory proposals. Groups recall | learn (with optional --save-context) | forget | relate | propose.
analyze-context
USE WHEN you want to analyze project context before starting work on a task. Calls context + recall, then synthesizes goals, decisions, gotchas, and relevant memories into a pre-task brief.
reflect
Capture learnings from the current conversation through guided reflection.
learn
Show Claude Code best practices and save confirmed session learnings.
wiki
Build, query, and maintain persistent research wikis.
prime
Prime context for fresh session: /prime [task hint] [--quick] [--verbose].