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。
Publish a tagged Echo record after a live infrastructure incident, then link its canonical URL from the associated pull request or issue.
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。
Publish the incident record to Echo. Do not add a repository debug-log file. An incident is a service, production run, or shared operational system failure or degradation that required diagnosis or mitigation. Ordinary code debugging, implementation notes, experiment progress, and local failures are not incident records. The audience is a future engineer who must quickly decide what to check or do next. Record the smallest set of facts that supports that action. Link raw evidence and detailed chronology rather than reproducing them; Echo entries consume limited model context whenever they are retrieved.
If the current investigation already fetched an Echo entry for this incident,
reuse it and edit that entry without repeating the search. Otherwise, invoke
consult-echo and run its complete search-before-write sequence. Start with a
natural-language infra/marina/apps/echo/cli.py search, fetch likely matches
with get <source-id>, and use grep for the exact error or run identifier.
Create a new entry for a different incident even when the symptom resembles an
older one; link related incidents and create or extend a separate synthesis
only when they establish a reusable cross-incident pattern.
Write an OKF document in a temporary file:
---
type: wiki-note
title: "Incident YYYY-MM-DD: <system> — <symptom>"
use_when: when investigating <specific symptom or exact error>
tags:
- incident
- debugging
- ops
- <system>
- <severity>
- <resolution>
---
# <System or component>: <symptom>
## TL;DR
- <user-visible symptom>
- <diagnostic discriminator or immediate action>
- <fix or remaining caveat>
## Response
<The shortest safe procedure for diagnosing, mitigating, or avoiding the
incident.>
## Cause and resolution
<Only the evidence needed to justify the response and explain the resolution.>
## Artifacts
- <Canonical PR, issue, dashboard, durable log bundle, or report>
Use the incident's investigation date. Use lowercase kebab-case tags and no
more than 20. Always include incident and debugging; add ops for
infrastructure work, followed by the subsystem, severity, and resolution.
Omit any body section that adds no actionable value. Add a compact original
report, investigation step, or course correction only when it changes how a
future reader should recognize or respond to the incident.
Create a new incident:
uv run infra/marina/apps/echo/cli.py wiki add --file incident.md
Continue the same incident:
uv run infra/marina/apps/echo/cli.py wiki show <id> > incident.md
# Edit incident.md.
uv run infra/marina/apps/echo/cli.py wiki edit <id> --file incident.md
Both commands print the canonical Echo URL. Return that URL and add it to the associated PR description or issue. Do not commit the temporary OKF file.
OPS.md.docs/ when behavior or configuration guidance belongs with the
repository.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。