Run an explicitly requested Zephyr control/treatment benchmark on the same pre-normalized sample and compare Finelog stage metrics.
日本語の概要は準備中です。原文の説明を表示しています。
File a GitHub issue only when explicitly requested or delegated by another selected workflow; do not create issues merely because a problem was found.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Before drafting, read AGENTS.md and:
.agents/skills/writing-style/SKILL.md.agents/skills/writing-style/issues.md.agents/skills/writing-style/ai-writing-donts.mdPick the smallest matching structure.
| Kind | When to use | Labels |
|---|---|---|
| bug | A bug or regression was found | bug, agent-generated |
| task | An improvement, refactor, or feature request | agent-generated + priority if known |
| experiment | An experiment needs tracking | experiment, agent-generated |
<what is broken and its impact -- concrete symptoms or error messages>
Reproduce:
1. <step>
2. <step>
Expected: <what should happen instead>
<optional: concise evidence or confirmed root cause>
<what needs to be done and why -- enough context for anyone on the team>
Done when:
<specific, testable completion criteria>
## TL;DR
<One-paragraph current summary. Leave blank only when the work is just being kicked off.>
## Description
<Context someone outside the thread can understand.>
## Hypothesis or Goal
<What are you trying to learn, fix, or achieve?>
## Status
<Current state; update as evidence lands.>
## Links
* Logbook:
* W&B Report:
* Important updates:
## Decision Log
## Conclusion
Extract the symptom or desired outcome, impact, location, reproduction, known cause, and severity. Ask when the issue or its kind is ambiguous.
Search for existing issues first:
gh issue list --repo marin-community/marin --state open --search "<keyword>"
If a match exists, tell the user and offer to comment on it instead.
Title: At most 80 characters, optionally prefixed with a scope tag. State a
factual symptom for a bug (e.g. [levanter] Gradient accumulation drops the last microbatch) and an imperative outcome for a task (e.g. [levanter] Handle partial accumulation steps). Do not add bug:, task:, or another type
prefix.
Use the body structure above. Keep the facts needed to act; link code with
file:line, trim errors to relevant frames, and omit filler, repeated titles,
diff inventories, and unnecessary implementation narration. Bugs need numbered
reproduction steps; tasks need testable completion criteria.
Apply the writing-style final compression pass to the exact title and body that will be sent to GitHub. For a bug or task, verify the title is at most 80 characters. Every remaining sentence must add a symptom, impact, reproduction step, observation, expected behavior, or completion criterion.
If the user explicitly asked to file an issue, skip the preview — file it and share the link. If the agent surfaced the issue (not explicitly requested), show the drafted title and body and wait for approval or edits.
Write the body to a uniquely named temp file, then pass it with --body-file.
Do not inline the body with shell substitution (--body "$(cat <<'EOF' ...)")
— multiline text can be corrupted by pasted output or escaping mistakes. Do not
reuse a fixed path like /tmp/issue-body.md; concurrent agent runs can
overwrite each other's drafts on shared hosts.
body_file="$(mktemp "${TMPDIR:-/tmp}/issue-body.XXXXXX.md")"
trap 'rm -f "$body_file"' EXIT
cat > "$body_file" <<'EOF'
<body>
EOF
issue_url="$(gh issue create --repo marin-community/marin \
--title "<title>" \
--label "agent-generated" \
--body-file "$body_file")"
Add kind-appropriate labels (bug, experiment). If a relevant label does not
exist, skip it rather than creating new labels. For task issues, add a priority
label (p1, p2, p3) if the user specifies one or severity is clear.
Before creating the issue, re-open the body file and verify it contains no unrelated shell output (pre-commit logs, pytest session headers, prompt transcripts). If it does, clean the draft before posting.
After creating the issue, fetch its published text with
gh issue view "$issue_url" --json title,body and correct any text added or
altered by the publishing tool.
Print the issue URL.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Run an explicitly requested Zephyr control/treatment benchmark on the same pre-normalized sample and compare Finelog stage metrics.
日本語の概要は準備中です。原文の説明を表示しています。
Register a named Hugging Face dataset for Marin by inspecting its schema and adding the appropriate experiments/datasets module.
日本語の概要は準備中です。原文の説明を表示しています。
Implement a fully specified request for a GCP IAM resource grant or Cloud Run IAP viewer in marin-iac.
日本語の概要は準備中です。原文の説明を表示しています。
Add or change a named Pallas/Mosaic kernel, including its reference implementation, correctness tests, wrapper, or requested tuning.
日本語の概要は準備中です。原文の説明を表示しています。
Archive explicitly named legacy experiment files by publishing a dated tag and canonical issue breadcrumbs.
日本語の概要は準備中です。原文の説明を表示しています。
Launch or continuously monitor a specified Zephyr pipeline on Iris only when asked to babysit it; restart only after explicit approval.
日本語の概要は準備中です。原文の説明を表示しています。