Agent skill

Refresh Fork

by marin-community in marin-community/marin

Refresh a named Marin external fork pin onto a newer upstream base using its configured descriptor and required end-to-end test.

Apache-2.0Auto-check passedTesting & QA

Install Refresh Fork

skills CLI
$ npx skills add marin-community/marin --skill refresh-fork -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install marin-community/marin refresh-fork --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/marin-community/marin.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/refresh-fork .claude/skills/refresh-fork && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
refresh-fork
GitHub stars
3.9k
Token cost
~4.1k tokens
SKILL.md length
2,228 words
Files
5
Skills in repo
41
Repo updated
First seen
Licence
Apache-2.0

At a glance

Refresh a named Marin external fork pin onto a newer upstream base using its configured descriptor and required end-to-end test.

  • Works in 7 steps: Inventory our commits in order: git log… → Classify each meaningful delta: carry… → Replay only carry and fix onto new_base… → …
  • Testing & QA work in your project
  • SKILL.md covers Read the Descriptor, Outcome, Scratch setup and Select the base, plus 6 more sections
  • Calls git and uv

What it does

Refresh Fork is an agent skill from marin-community/marin. Refresh a named Marin external fork pin onto a newer upstream base using its configured descriptor and required end-to-end test.

Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `docs/overlay-only-pr.md`, `docs/promotion-protocol.md` and `docs/vllm.md`).

It sits in Testing & QA. The repository describes itself as: Open-source framework for the research and development of foundation models. The licence is Apache-2.0.

When your agent uses it

  • Testing & QA work in your project

Example prompts

  • “/refresh-fork”

Requirements

  • Docker

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Inventory our commits in order: git log --reverse --no-merges old_base..old_tip.
  2. Classify each meaningful delta: carry (still needed, not upstreamed), drop
  3. Replay only carry and fix onto new_base in the old logical order: clean
  4. In every retained commit body, state why it is still needed and its future drop
  5. Run git range-diff old_base..old_tip new_base.. as the replay audit
  6. Audit the overlay's call-sites against the new base's API before the build. A
  7. Keep history reviewable — no conflict artifacts, unrelated refactors, or

What it can do on your machine

Read from SKILL.md and the folder at commit be1f5f1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git
    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git and uv, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Refresh Fork loads about 4.1k tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 2,228 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~4.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from marin-community/marin at commit be1f5f1, republished under its Apache-2.0 licence (© marin-community). 2,228 words, ~4,105 tokens.

Download SKILL.mdSave it as .claude/skills/refresh-fork/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
refresh-fork
description
Refresh a named Marin external fork pin onto a newer upstream base using its configured descriptor and required end-to-end test.

Refresh a fork

Read AGENTS.md. Rebase refreshable fork overlays onto main-next, validate the selected sources, re-pin Marin, and prepare any protected-branch promotion. An unattended run opens a draft Marin PR and names the required admin promotion; it never force-moves a stable branch. A fork_main source selector reuses an existing stable lineage and does not create a staging branch.

Refresh a group as one unit and one PR. Per-fork guidance lives beside this file: docs/vllm.md covers the vllm/tpu-inference group and the GPU release pipeline, and docs/xla.md covers the XLA PJRT fork, which is pinned outside migration.toml entirely.

In local mode, ask before pushing fork branches, opening the PR, or filing an issue. The required end-to-end test needs no extra confirmation.

Read the Descriptor

Read the target fork's section in config/external/migration.toml. It gives:

  • upstream — the repo we rebase onto. Every fork has one.
  • group — if present, refresh every section in the group together in one PR (read them all now); if absent, this pin refreshes alone.
  • base_select — how to choose the new upstream base or existing fork source.
  • pin — where the resolved pin is recorded (isolated_project uv.lock, descriptor:<path>#<section> SHA, or release:<path> prebuilt wheel); drives the re-pin step.
  • branch — the maintained fork branch this pin tracks. All current forks use main. Rebase refreshes stage on main-next; fork_main selectors do not.
  • e2e — the Marin end-to-end that validates the refresh.
  • blocker_assignee — who owns the "can't migrate" issue.
  • nuances — constraints a human must respect (torch pins, known-good ceilings).

The descriptor records how to migrate; the pin source it names holds the actual revision.

Outcome

  • If no newer base is selected and no pin metadata needs repair, exit successfully with a no-op summary.
  • On success, create the rollback and date tags described in docs/promotion-protocol.md for each rebased fork, then open exactly one draft PR in marin-community/marin for the fork or group after the e2e passes. A grouped refresh re-pins every group section at its staged tip in that single PR. State the exact main-next to main admin promotion still required, request the descriptor's blocker_assignee as reviewer, and monitor the PR per .agents/skills/commit/SKILL.md.
  • On an unresolved blocker, do not open a PR. Create or update one marin-community/marin issue assigned to blocker_assignee, titled Fork refresh blocked: <fork> — <short reason>, with current pins, the selected base, branch names/SHAs if created, attempted fixes, the remaining failure, and artifacts.

Scratch setup

  • Scratch dir: /tmp/marin-fork-refresh/<run-id> (run id: ${GITHUB_RUN_ID}-${GITHUB_RUN_ATTEMPT} in Actions, else a UTC timestamp plus a short label).
  • Clone the fork and add its upstream remote. The fork URL is repository in the pin source (vllm/tpu.toml for descriptor pins, the [tool.uv.sources] git entry for isolated projects, the release-asset host in vllm/gpu.toml for the vllm-gpu release pin — the same marin-community/vllm repo); <upstream> is this section's upstream.
sh
git clone <repository> <fork>
git -C <fork> remote add upstream <upstream>
git -C <fork> fetch --tags --multiple origin upstream   # --multiple fetches both remotes; without it "upstream" is read as a refspec
git -C <fork> remote set-head upstream -a                # so upstream/HEAD resolves
  • Record selected bases, branch SHAs, carry/drop/fix decisions, validation, and unresolved risks for the PR.

Select the base

  • base_select = upstream_main (evalchemy, harbor, MarinSkyRL, vllm-gpu): the base is the tip of the upstream default branch. These pins rebase onto upstream main; there is no release to gate on. vllm-gpu is the only unit that rebases the shared vLLM main source.
  • base_select = latest_release (tpu-inference): use GitHub Releases of the fork's upstream; do not use raw tags or branches. Select the newest release where draft == false, prerelease == false, and the tag is exactly vMAJOR.MINOR.PATCH. Resolve it to a commit SHA.
  • base_select = fork_main (vllm): select a full SHA already reachable from the fork's protected main, or a package-equivalent immutable release source documented by the vLLM guide. Do not rebase vLLM or consult tpu-inference's upstream LKG for this selector.

If the selected base matches the current one and no pin metadata needs repair, exit no-op. Do not walk back to older releases when the latest eligible one fails; fix the refresh or file a blocker issue.

For an isolated fork whose upstream base has not moved, there is nothing to rebase and the refresh is a no-op — even if Marin's pin lags the fork's own main. Adopting patches pushed to the fork since Marin last locked belongs to the daily external-dependency bump (ops-external-dependencies); refresh-fork runs only when there is a newer upstream base to rebase onto.

Rebase the overlay

Skip this section for base_select = fork_main: that selector reuses an exact source on the protected fork lineage.

For every rebase, branch from the selected base as main-next. This staging branch is disposable, and is distinct from protected main, which the unattended refresh leaves unchanged.

Find the base our commits currently sit on: old_base is the descriptor's upstream_base (descriptor pins) or git merge-base <fork>/main upstream/HEAD (isolated and release pins, where it is not recorded). old_tip is the head of our patches: the fork's main for isolated pins (Marin's recorded pin may lag main, so rebase from main to cover the full patch set), or the pin's stable main tip for descriptor and release pins (the descriptor's commit, or gpu.toml's source_commit). Then, onto new_base:

  1. Inventory our commits in order: git log --reverse --no-merges old_base..old_tip. Merge commits (especially merges of upstream into a feature branch) are not replayed — their content comes from the new base; drop them.
  2. Classify each meaningful delta: carry (still needed, not upstreamed), drop (upstream absorbed it, obsolete, or temporary), fix (intent needed, implementation must change — re-author against the current layout when upstream moved or refactored the files it touches). Before carrying anything, check whether the new base already did it: grep the base for the symbols, APIs, or dependency pins the patch introduces. Drop an absorbed backport or stale version ceiling; do not re-add duplicate or obsolete code.
  3. Replay only carry and fix onto new_base in the old logical order: clean cherry-picks for carries; rewrite fixes as new commits referencing the original SHA(s). Separate genuine conflicts from cascade artifacts: a file the overlay created (absent from the new base) conflicts only because an earlier commit that added it was skipped. Classify each touched path as upstream-shared (exists at both bases) or fork-new, resolve fork-new cascades mechanically, and count conflicts only on shared files — a single abort-on-conflict pass badly overcounts and can read a tractable rebase as intractable.
  4. In every retained commit body, state why it is still needed and its future drop condition. For non-obvious patches, leave a short code-adjacent rationale.
  5. Run git range-diff old_base..old_tip new_base..<new_tip> as the replay audit and explain every dropped or rewritten delta in the notes and PR.
  6. Audit the overlay's call-sites against the new base's API before the build. A clean cherry-pick applies textually but does not prove the upstream symbols the overlay imports or calls still exist: on a fast-moving fork a class becomes a factory function, a helper is deleted, a signature gains a required argument. Cross-check every touched constructor, signature, attribute, helper, and test against new_base before a multi-hour build. A prior vLLM refresh caught FusedMoE becoming FusedMoEFactory and removal of is_interleaved this way.
  7. Keep history reviewable — no conflict artifacts, unrelated refactors, or preserved commits whose behavior is now drop. Collapse fork-infra churn (CI, workflow, or prose commits that adopt then revise then disable) to its final state rather than replaying each hop.

Stop and file a blocker when the overlay is non-linear, upstream refactored touched files that need substantial re-authoring, or many core files conflict. A fork hundreds of commits behind also needs a one-time manual catch-up outside this workflow. That catch-up replays the real commits; never reconstruct the overlay from a net diff. Diff each hand-ported fix against the fork's stable branch. Put the inventory, conflict map, and distance behind upstream in the blocker issue.

Show full SKILL.md (980 more words)Show less

Pin at the staged tip

Point Marin at main-next so the e2e runs against the replayed code, then run uv run config/update-external.py to regenerate lib/marin/src/marin/external_dependencies.py; confirm only the intended pins change. The stable main remains at the old tip until an admin hard-swaps it after reviewing the draft PR. Because main-next and the eventual main are the same commit, the pin set here needs no change after that promotion.

  • pin = descriptor:<path>#<section> (vllm, tpu-inference): for a rebased fork, push main-next and record its tip and selected base. For fork_main, record the exact existing main-line source and its upstream base without creating or promoting another branch. The section-by-section mechanics are in docs/vllm.md.
  • pin = release:<path> (vllm-gpu): the pin is a prebuilt wheel, so the refresh builds and promotes one through the fork's own release pipeline, then re-pins from the promoted manifest. The candidate/promote/re-pin commands and the CUDA/torch ABI-boundary caveat are in docs/vllm.md.
  • pin = isolated_project (evalchemy, harbor, MarinSkyRL): the uv source follows the fork's main, so main is the stable branch. Stage the rebase on main-next, review it from a compare link (upstream_base..main-next) on the Marin PR, and point the uv source at main-next to validate. After the e2e passes, run uv run config/update-external.py <fork> to lock config/external/<fork>/uv.lock against that exact tip. Keep the source on main-next in the draft PR while main still points at the old tip; the date tag keeps the staged SHA reachable. After an admin advances main, restore the source to main, rerun uv run config/update-external.py <fork>, and verify the lock still records the validated SHA. Push that follow-up to the same PR before marking it ready or merging it. Coordinate with the daily external-dependency bump, which also follows main.

Respect the section's nuances. Manual fixed-base overlay changes are a separate workflow; see docs/overlay-only-pr.md.

Check the fork's own suite

Run the fork's suite before the Marin end-to-end test, locally when supported or through fork CI.

Derive the command from the fork's CI config verbatim; do not invent a marker subset. A narrow marker such as -m unit can silently skip the thousands of unmarked tests the CI's real expression (-m "not runtime") collects, so the narrow run reads green while most of the suite never ran. CI steps run in order under an implicit if: success(): a later gated step (a -m runtime docker leg) does not run until an earlier one is green, so its regressions stay hidden behind the first failure. Run every step's marker in order.

On this VM, Docker bind mounts do not propagate into containers, so Harbor's DOCKER-env golden tests must run in fork CI. Confirm the workflow supports workflow_dispatch on the staged ref; otherwise it may silently skip a non-main review branch.

For a version-sensitive golden, inspect the deciding code path and distinguish a new dependency floor from a port defect. An upstream litellm>=1.92 floor, for example, can stale a golden without a fork-source change. Never downgrade below the floor. Prefer a dependency-independent fixture that patches every seam the trigger reads, such as both sync and async token counters. Otherwise regenerate and verify it in one CI run with logs as artifacts.

Validate

Run the descriptor's e2e before opening the PR:

  • The vLLM-family e2es — the TPU lane of marin-community/vllm:.github/workflows/marin-gpu-release.yaml (vllm, tpu-inference) and tests/cluster/vllm/test_snowball_backend_parity.py (vllm-gpu) — are documented with their exact commands in docs/vllm.md.

  • experiments/evaluation/configs/evalchemy/gsm8k-smoke.yaml (evalchemy) and experiments/evaluation/configs/harbor/aime-smoke.yaml (harbor) — one eval runner drives both; only the config source differs. Submit a bounded run and confirm it completes with metrics and no fork import/build/runtime traceback:

sh
uv run python -m experiments.evaluation.cli launch --model qwen3-0.6b --limit 8 \
  --evalchemy-config experiments/evaluation/configs/evalchemy/gsm8k-smoke.yaml   # evalchemy
uv run python -m experiments.evaluation.cli launch --model qwen3-0.6b --limit 8 \
  --harbor-config experiments/evaluation/configs/harbor/aime-smoke.yaml          # harbor

--dry-run resolves the model, backend, and task plan — a wiring pre-check, not fork validation. Depending on the eval it may not import the fork at all, or import it without exercising it, so a green dry-run says nothing about whether the new pin runs. Only the live run above validates the refreshed fork.

  • experiments/post_training/iceball_micro.py (MarinSkyRL) — the micro post-training e2e. --version is required and --run builds the handles (without it the command only prints the plan); confirm the terminal stage completes:
sh
uv run python -m experiments.post_training.iceball_micro --stage evaluation --version dev --run

When an e2e fails, rerun the same workload against Marin's current pins on the old fork stack, same target and priority. Fix only failures that pass on the old stack and fail on the refreshed one. If the old stack is already broken, the fork's e2e cannot gate this refresh: do not open a PR on an unvalidated pin — file or link a blocker for the broken e2e and hold the refresh until it is fixed.

Prepare the protected-branch promotion

Once the e2e passes on main-next, create the rollback tag for the current stable tip and the date tag for the validated staged tip per docs/promotion-protocol.md. Push and verify those tags, then leave protected main unchanged. The draft Marin PR must identify each main-next to main hard swap that an admin must complete before merge.

A fork_main selector has no protected-branch promotion. Record the immutable source tag or ancestry proof in the PR instead.

Keep the Marin PR draft until every required admin promotion is complete. After an isolated_project promotion, restore its uv source from main-next to main, relock, and confirm the resolved SHA did not change before marking the PR ready.

Review and Open the PR

Do a PR-review pass over the fork commits and Marin diff using .agents/skills/review-pr/SKILL.md, then run ./infra/pre-commit.py --review and fix or answer every finding. Check that each retained patch has a reason and a drop condition, each dropped patch is truly obsolete, Marin edits are scoped to the refresh, and no text overclaims validation evidence.

Open one draft marin-community/marin PR via .agents/skills/commit/SKILL.md, request the descriptor's blocker_assignee as reviewer, and follow the commit skill's monitoring loop to an exit condition. PR body: above the fold, the fork, selected base, the staged tip SHA, its rollback and date tags, the pending admin promotion (and the wheel release tag for vllm-gpu), e2e outcome, and unresolved risks; in <details>, the base-selection evidence and the carry/drop/fix table with dropped-patch reasons.

© marin-community, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files in .agents/skills/refresh-fork of marin-community/marin.

  • SKILL.md
  • docs/overlay-only-pr.md
  • docs/promotion-protocol.md
  • docs/vllm.md
  • docs/xla.md

Open the folder on GitHubat commit be1f5f1

Compare with similar skills

Refresh Fork next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Refresh Fork compared with similar skills
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Diagnosing Bugsfossasia/eventyay-interpretation1.6k32 repos~2.1kAutomated safety check: PassApache-2.0
TDDpietheinstrengholt/rssmonster56430 repos~906Automated safety check: PassMIT
TDD WorkflowhellangleZ/burn-in-cceverywhere-ralph11211 repos~2.4kAutomated safety check: PassNone
TDDsanity-io/sanity6.4k20 repos~1kAutomated safety check: PassMIT

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Categories

Questions about Refresh Fork

What does Refresh Fork do?

Refresh a named Marin external fork pin onto a newer upstream base using its configured descriptor and required end-to-end test. Refresh Fork is an agent skill from marin-community/marin. Refresh a named Marin external fork pin onto a newer upstream base using its configured descriptor and required end-to-end test.

When should I use Refresh Fork?

Refresh Fork fits situations like: testing & QA work in your project.

How do I install Refresh Fork in Claude Code?

Run `npx skills add marin-community/marin --skill refresh-fork -a claude-code`. Or copy the skill folder (.agents/skills/refresh-fork in marin-community/marin) into .claude/skills/refresh-fork in your project. Claude Code loads it when a task matches its description.

How do I install Refresh Fork in Codex?

Run `npx skills add marin-community/marin --skill refresh-fork -a codex`. Or copy the skill folder (.agents/skills/refresh-fork in marin-community/marin) into .agents/skills/refresh-fork in your project. Codex loads it when a task matches its description.

Can I use Refresh Fork in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add marin-community/marin --skill refresh-fork -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/refresh-fork, .gemini/skills/refresh-fork, .github/skills/refresh-fork and .opencode/skills/refresh-fork in your project.

What does Refresh Fork need to run?

Going by SKILL.md and its folder, Refresh Fork needs the command-line tools its instructions call (git and uv). Our summary lists: Docker.

Does Refresh Fork access the network?

SKILL.md contains no URLs. Its commands use git and uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Refresh Fork safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Refresh Fork use?

Refresh Fork is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Refresh Fork use?

About 4.1k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Refresh Fork?

Skills that share tags, products or a category with Refresh Fork: Web Application Testing (anthropics/skills, 180k stars), Diagnosing Bugs (fossasia/eventyay-interpretation, 1.6k stars), TDD (pietheinstrengholt/rssmonster, 564 stars) and TDD Workflow (hellangleZ/burn-in-cceverywhere-ralph, 112 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Refresh Fork?

marin-community (a GitHub organization) maintains it in marin-community/marin, which has 3,902 GitHub stars. The repository holds 41 skills in this directory. The repository was last updated on October 8, 2026.

Source: marin-community/marin on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.