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.
npx agentmods add skills/flyteorg/flyte-agent-plugins/flyte-migrate-mlnpx skills add flyteorg/flyte-agent-plugins --skill flyte-migrate-mlgit clone --depth 1 https://github.com/flyteorg/flyte-agent-pluginsWrote 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/skills/flyteorg/flyte-agent-plugins/flyte-migrate-ml)<a href="https://agentmods.dev/skills/flyteorg/flyte-agent-plugins/flyte-migrate-ml"><img src="https://agentmods.dev/badge/skills/flyteorg/flyte-agent-plugins/flyte-migrate-ml.svg" alt="Measured on agentmods" 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 | $0.00095 | $0.05638 |
| Opus 5 | $0.00048 | $0.02819 |
| Sonnet 5 | $0.00019 | $0.01128 |
| Haiku 4.5 | $0.00010 | $0.00564 |
Grade A, and why
flyte-migrate-ml 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 612 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Flyte 1 to Flyte 2 ML Migration Skill
Migrate existing Flyte 1 ML workloads — small-model training, hyperparameter optimization, deep learning on GPUs, and batch inference — to Flyte 2, then take advantage of patterns that were not possible in Flyte 1 (real-time serving, apps, sandboxed execution).
This skill is specifically about migrating existing v1 ML code. For greenfield authoring in Flyte 2, use the companion skills:
flyte-sdk-ml— writing new ML training / inference tasks in Flyte 2.flyte-sdk-app— writing new apps and serving endpoints.flyte-sdk-agent— writing new agents and sandboxed / code-mode workloads.
Grounding References
| Resource | URL |
|---|---|
| Migration guide (ML workloads) | https://www.union.ai/docs/v2/flyte/user-guide/migration/flyte-2/ml-workloads/ |
| Migration guide (New in Flyte 2) | https://www.union.ai/docs/v2/flyte/user-guide/migration/flyte-2/new-in-flyte-2/ |
| Official docs | https://www.union.ai/docs/v2/flyte |
| Docs index (LLMs) | https://www.union.ai/docs/v2/flyte/llms.txt |
| SDK API reference | https://www.union.ai/docs/v2/union/api-reference/flyte-sdk/ |
| Example code | https://github.com/unionai/unionai-examples |
| Flyte MCP tools | Available via flyte-mcp server |
Migration Cheat Sheet
| Flyte 1 | Flyte 2 |
|---|---|
ImageSpec(name=..., packages=[...]) |
flyte.Image.from_debian_base().with_pip_packages(...) |
@task(container_image=..., requests=..., cache=...) |
Set image, resources, cache once on flyte.TaskEnvironment, then @env.task |
Resources(cpu=..., mem=...) |
flyte.Resources(cpu=..., memory=...) (note mem becomes memory) |
Resources(gpu="1") + accelerator=T4 |
flyte.Resources(gpu="T4:1") |
FlyteFile / FlyteFile(path=...) |
flyte.io.File / await File.from_local(...) |
model_file.download() |
await model_file.download() |
current_context().working_directory |
os.getcwd() |
@workflow |
An orchestrating @env.task (plain async Python) |
map_task(fn)(x=xs) |
await asyncio.gather(*[fn(x) for x in xs]) |
| A "pick the best" task | Plain Python after gather |
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.
- 3d ago First seen · 612 lines · 95 tokens per session scan A bc62651f8b82
flyte-migrate-ml is a skill published in the GitHub repository flyteorg/flyte-agent-plugins (2 stars, last pushed 6d ago), licensed Apache-2.0. It adds 95 tokens to every session and 5,638 once invoked, about $0.0005 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.
Other skills, from other repositories
bump-dependency
Bumps a Python package dependency across Home Assistant Core integrations, regenerates core requirement files, runs verification tests and prek lint, and prepares a pull request with proper release/compare links.
mem0-vercel-ai-sdk
Mem0 provider for Vercel AI SDK (@mem0/vercel-ai-provider). TRIGGER when: user mentions "vercel ai sdk", "@mem0/vercel-ai-provider", "createMem0", "retrieveMemories", "addMemories", "getMemories", "searchMemories", "mem0 vercel", "AI SDK provider", "AI SDK memory", or is using generateText/streamText with mem0. Also…
schema-exploration
Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.
deepagents-thread-inspector
Inspect and explain conversations in the local Deep Agents Code SQLite session store. Use as a fallback when LangSmith trace tooling is unavailable, for offline or untraced sessions, or when asked to identify or summarize a local dcode thread, inspect checkpoint metadata, list recent local threads, or parse…
agent-framework-azure-ai-py
Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.
pause
Pause Mem0 memory capture on this machine. Use when the user wants to stop memories being recorded, for example for private work or experiments.