SageMaker Serving Image Selection
huggingface/skills
Chooses the right serving container and current image URI for deploying a Hugging Face model to a SageMaker endpoint, preferring Hugging Face images over generic ones.
Durably ARCHIVE everything informative from a finished run / experiment before it's cleaned up or its cluster artifacts age out — ALL Harbor tracejobs (raw per-trial traces), ALL ray logs, ALL…
$ npx skills add open-thoughts/OpenThoughts-Agent --skill crud-archive-run -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install open-thoughts/OpenThoughts-Agent crud-archive-run --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/open-thoughts/OpenThoughts-Agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/crud-archive-run .claude/skills/crud-archive-run && rm -rf skills-srcUse ~/.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/
Install the "crud-archive-run" agent skill from https://github.com/open-thoughts/OpenThoughts-Agent/tree/main/.agents/skills/crud-archive-run into .claude/skills/crud-archive-run/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crud-archive-run", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/open-thoughts/OpenThoughts-Agent/tree/main/.agents/skills/crud-archive-runType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add open-thoughts/OpenThoughts-Agent --skill crud-archive-run -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install open-thoughts/OpenThoughts-Agent crud-archive-run --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-thoughts/OpenThoughts-Agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/crud-archive-run .agents/skills/crud-archive-run && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "crud-archive-run" agent skill from https://github.com/open-thoughts/OpenThoughts-Agent/tree/main/.agents/skills/crud-archive-run into .agents/skills/crud-archive-run/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crud-archive-run", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add open-thoughts/OpenThoughts-Agent --skill crud-archive-run -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install open-thoughts/OpenThoughts-Agent crud-archive-run --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-thoughts/OpenThoughts-Agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/crud-archive-run .cursor/skills/crud-archive-run && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "crud-archive-run" agent skill from https://github.com/open-thoughts/OpenThoughts-Agent/tree/main/.agents/skills/crud-archive-run into .cursor/skills/crud-archive-run/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crud-archive-run", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/open-thoughts/OpenThoughts-Agent.git --path .agents/skills/crud-archive-run--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add open-thoughts/OpenThoughts-Agent --skill crud-archive-run -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install open-thoughts/OpenThoughts-Agent crud-archive-run --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-thoughts/OpenThoughts-Agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/crud-archive-run .gemini/skills/crud-archive-run && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "crud-archive-run" agent skill from https://github.com/open-thoughts/OpenThoughts-Agent/tree/main/.agents/skills/crud-archive-run into .gemini/skills/crud-archive-run/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crud-archive-run", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install open-thoughts/OpenThoughts-Agent crud-archive-runInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add open-thoughts/OpenThoughts-Agent --skill crud-archive-run -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/open-thoughts/OpenThoughts-Agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/crud-archive-run .github/skills/crud-archive-run && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "crud-archive-run" agent skill from https://github.com/open-thoughts/OpenThoughts-Agent/tree/main/.agents/skills/crud-archive-run into .github/skills/crud-archive-run/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crud-archive-run", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add open-thoughts/OpenThoughts-Agent --skill crud-archive-run -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install open-thoughts/OpenThoughts-Agent crud-archive-run --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-thoughts/OpenThoughts-Agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/crud-archive-run .opencode/skills/crud-archive-run && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "crud-archive-run" agent skill from https://github.com/open-thoughts/OpenThoughts-Agent/tree/main/.agents/skills/crud-archive-run into .opencode/skills/crud-archive-run/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crud-archive-run", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
crud-archive-runDurably ARCHIVE everything informative from a finished run / experiment before it's cleaned up or its cluster artifacts age out — ALL Harbor tracejobs (raw per-trial traces), ALL ray logs, ALL…
Crud Archive Run is an agent skill from open-thoughts/OpenThoughts-Agent. Durably ARCHIVE everything informative from a finished run / experiment before it's cleaned up or its cluster artifacts age out — ALL Harbor tracejobs (raw per-trial traces), ALL ray logs, ALL stdout/stderr (incl. vLLM/serving logs), and wandb. Pack-rat by design: if it's potentially informative, keep it. Only skip the non-informative-or-huge (model weights/checkpoints, core/memory dumps, massive raw tmux-pane / terminal-recording bytes). Many-tiny-files → tar THEN rsync (never rsync thousands of small files…
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering LLM inference and serving. It works with vLLM, Weights & Biases and tmux. The repository describes itself as: Data recipes and robust infrastructure for training AI agents. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 3bd1917. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
rsyncawsFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use rsync and aws, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Crud Archive Run loads about 1.2k tokens when it runs. Until then it costs about 213 tokens; SKILL.md has 388 words of instructions outside code blocks.
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.
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.
The full file from open-thoughts/OpenThoughts-Agent at commit 3bd1917, republished under its Apache-2.0 licence (© open-thoughts). 388 words, ~1,245 tokens.
.claude/skills/crud-archive-run/SKILL.md (or your agent's skills folder).Archive potentially informative artifacts; skip only files that are both non-informative and large.
trace_jobs/ (RL) / eval_jobs/<name>/ (eval) /
the datagen trace dir: result.json, config.json, manifest.json, lock.json, agent/trajectory.json
(the raw agent transcript — INFORMATIVE, keep even at multi-MB), verifier/ (reward.txt, ctrf.json,
test-stdout.txt), step_results, trajectory.summarization-*.json.*.out/*.err, python-core-*)..out/.err, the complete CoreWeave finelog, vllm.log, job.log, and
per-trial trial.log.wandb/ run dir if present; else record the run URL/id in the archive's MANIFEST.trainer_log.jsonl.*.safetensors, *.pt, *.bin, global_step_*/, consolidated shards
(they live on HF / R2; not useful for post-hoc debugging).core.*, *.hprof, coredump trees.*.pane (raw tmux pane dumps) and agent/recording.cast (asciinema)
only when large and redundant with trajectory.json; keep small casts.__pycache__, .venv.On the source cluster/pod, tar the small-file tree before rsyncing it:
# on the cluster (SLURM) — one tarball per run, excluding the SKIP set
tar --exclude='*.safetensors' --exclude='*.pt' --exclude='*.bin' --exclude='global_step_*' \
--exclude='core.*' --exclude='*.pane' \
-czf /tmp/<run>_archive.tgz -C <run_dir> trace_jobs logs *.log config* wandb # adjust to what exists
rsync -aP <cluster>:/tmp/<run>_archive.tgz <dest>/ # then rm the /tmp tarballKeep large single logs (vllm.log) in the tarball or rsync them alongside. Verify the tarball is non-empty and
lists the expected trees (tar tzf … | head) before deleting the source.
s3://marin-us-east-02a/iris/<job>/trace_jobs (--trials-dir auto; pull with aws s3 --endpoint-url <R2>);
pod-local traces: /app/experiments/<run>/trace_jobs (grab before pod GC with
scripts/iris/analyze_coreweave_rl_job_live.sh <pod> cp). Full log: iris … job logs --since-ms <submit> --no-tail.
Ray logs and vllm.log are pod-local; record the W&B URL..out per-step logs at experiments/<job>/logs/*.out,
trainer_log.jsonl, rendered config, wandb. Weights → HF (SKIP). Log path via scontrol show job <id> -o
StdOut=/%Z. Details: .agents/projects/{llama-factory,axolotl}/, the cluster ops doc.trace_jobs/<trial>/result.json + the harbor run log; the artifact
is the trace set (→ HF), but archive the trace_jobs + logs. Details: .agents/projects/harbor/.eval_jobs/<name>/<trial>/{result.json,config.json,agent/trajectory.json, verifier/,manifest.json,lock.json} + top-level vllm.log, job.log, per-trial trial.log. Skip the big
recording.cast/*.pane when large. Details: .agents/projects/harbor/, eval-agentic-cleanup..agents/ops/iris/ (CoreWeave), .agents/ops/tacc/ (SLURM), and
.agents/ops/empireai/ (SLURM). Read the relevant one first.Default: ~/Documents/experiments/<active|complete>/<exp>/run_archive/<run-id>/. Write a one-line MANIFEST
(run-id, cluster, job-id, dates, kept/skipped artifacts, W&B URL). Optionally push the tarball to HF
(penfever/…-archive, public default laion/) or R2. Archive and verify before any cleanup reclaims the tree.
© open-thoughts, 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
Just SKILL.md in .agents/skills/crud-archive-run of open-thoughts/OpenThoughts-Agent.
Open the folder on GitHubat commit 3bd1917
Crud Archive Run 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Crud Archive Run this skillopen-thoughts/OpenThoughts-Agent | 301 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| SageMaker Serving Image Selectionhuggingface/skills | 11k | 1 repos | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Aider DelegateamElnagdy/delegate-skills | 2.3k | 2 repos | ~3k | Automated safety check: Pass | MIT | |
| Hugging Face Local Model Evalshuggingface/skills | 11k | 2 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Diffusion Perf Optvllm-project/vllm-omni | 7.1k | — | ~7.5k | Automated safety check: Pass | Apache-2.0 | |
| Ascend Release Manager for vLLMvllm-project/vllm-ascend | 2.9k | — | ~7.2k | Automated safety check: Pass | Apache-2.0 |
huggingface/skills
Chooses the right serving container and current image URI for deploying a Hugging Face model to a SageMaker endpoint, preferring Hugging Face images over generic ones.
amElnagdy/delegate-skills
Delegate a coding task to Aider (aider) as a background implementer, then review its diff and land it yourself.
huggingface/skills
Runs evaluations of Hugging Face Hub models on local hardware with inspect-ai or lighteval, and helps choose between vLLM, Transformers and accelerate backends.
vllm-project/vllm-omni
Diagnose and optimize vLLM Omni diffusion workloads, especially Wan/Qwen/Flux-style image and video generation.
vllm-project/vllm-ascend
Runs the end-to-end vLLM Ascend release process: opens the release checklist and feedback issues, scans for release-blocking bugs and test coverage gaps, and generates release notes and announcements.
vllm-project/vllm-omni
Work on vLLM-Omni quantization for diffusion, autoregressive, omni, or multi-stage models.
open-thoughts/OpenThoughts-Agent
Analyze the token length of an OT-Agent conversation-format (ShareGPT-style) dataset — the per-trace distribution (median/p90/max) and/or counts under a token threshold + a metadata predicate (e.g.
open-thoughts/OpenThoughts-Agent
Given a list of models (HF name stubs) that have valid agentic ID eval scores in Supabase, build a ranking table: raw per-benchmark accuracy on the 3 ID benchmarks (SWE-Bench-100…
open-thoughts/OpenThoughts-Agent
Run the Iris harbor job-history analyzer (scripts/iris/analyzeirisharborjob.py) on a datagen/eval job and read its JSON sidecar for trustworthy throughput / preemption / productive-trial stats.
open-thoughts/OpenThoughts-Agent
Run the full RL behavioral-analysis pipeline (scripts/analysis/analyzerlbehavior.py) on a trained RL model to understand WHAT changed vs its pre-RL baseline, WHY, whether it PERSISTS, and its EVAL…
open-thoughts/OpenThoughts-Agent
Detailed health check for a Levanter/executor TRAINING run on the marin Iris cluster (e.g.
open-thoughts/OpenThoughts-Agent
DESIGN a non-trivial codebase change (Harbor / MarinSkyRL / vLLM / OT-Agent / LLaMA-Factory) as a dependency-ordered STAGED PLAN before writing code — a feature port, a multi-step fix with parity…
Works with
Categories
Durably ARCHIVE everything informative from a finished run / experiment before it's cleaned up or its cluster artifacts age out — ALL Harbor tracejobs (raw per-trial traces), ALL ray logs, ALL…. Crud Archive Run is an agent skill from open-thoughts/OpenThoughts-Agent. Durably ARCHIVE everything informative from a finished run / experiment before it's cleaned up or its cluster artifacts age out — ALL Harbor tracejobs (raw per-trial traces), ALL ray logs, ALL stdout/stderr (incl.
Crud Archive Run fits situations like: concluding/archiving an experiment; before a cleanup skill rms an on-disk tree; before CoreWeave R2/pod artifacts get GCd.
Run `npx skills add open-thoughts/OpenThoughts-Agent --skill crud-archive-run -a claude-code`. Or copy the skill folder (.agents/skills/crud-archive-run in open-thoughts/OpenThoughts-Agent) into .claude/skills/crud-archive-run in your project. Claude Code loads it when a task matches its description.
Run `npx skills add open-thoughts/OpenThoughts-Agent --skill crud-archive-run -a codex`. Or copy the skill folder (.agents/skills/crud-archive-run in open-thoughts/OpenThoughts-Agent) into .agents/skills/crud-archive-run in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add open-thoughts/OpenThoughts-Agent --skill crud-archive-run -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/crud-archive-run, .gemini/skills/crud-archive-run, .github/skills/crud-archive-run and .opencode/skills/crud-archive-run in your project.
Going by SKILL.md and its folder, Crud Archive Run needs the command-line tools its instructions call (rsync and aws).
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
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.
Crud Archive Run 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.
About 1.2k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Crud Archive Run: SageMaker Serving Image Selection (huggingface/skills, 11k stars), Aider Delegate (amElnagdy/delegate-skills, 2.3k stars), Hugging Face Local Model Evals (huggingface/skills, 11k stars) and Diffusion Perf Opt (vllm-project/vllm-omni, 7.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
open-thoughts (a GitHub organization) maintains it in open-thoughts/OpenThoughts-Agent, which has 301 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on September 28, 2026.
Source: open-thoughts/OpenThoughts-Agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.