Star200+

Petals

STRONG · 80
Community indexed

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

Downloads0
Stars10.2K
Version1.0.0
Quality82/100 · Strong
Trust80/100 · Review then install
Audit79/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Agent fit

Claude Code + OpenAI Agents + CLI

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add bigscience-workshop/petals

Maintenance

stale

2y since push

Risk

Needs review

Repository appears stale

GitHub quality

10K

82/100 Quality · 86/100 Trust

Coverage tags

CodingGitHub automationml-automationmachine-learningautomation

Review notes

Repository appears stale · Repository looks stale

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Strong
82

Solid option that is likely worth shortlisting for production workflows.

Trust

Review then install
80

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

Audit

Needs review
79

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Agent install candidate

Use as the primary candidate after human or sandbox review.

PythonMachine LearningCodexClaude CodeCursor

Stars

10K GitHub stars

Repo activity

10K stars, 615 forks

Maintenance

2y since push

License

MIT

Install

npx skills add bigscience-workshop/petals

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Repository looks stale
  • Recent maintenance: 2y since push

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • GitHub automation workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Inspect repository metadata

Suited agents

PythonMachine LearningCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add bigscience-workshop/petals
Policy
review
Human review
yes

Trust and risk

Trust
80/100
Audit
79/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add bigscience-workshop/petals
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that require actively maintained dependencies
  • production agents without a repository review
  • Repository looks stale
  • Repository appears stale
  • Recent maintenance: 2y since push

Alternative

Tensorflow

195.7K Stars

npx skills add tensorflow/tensorflow

Alternative

Transformers

161.6K Stars

npx skills add huggingface/transformers

Alternative

Pytorch

100.8K Stars

npx skills add pytorch/pytorch

Alternative

LLMs From Scratch

97.3K Stars

npx skills add rasbt/LLMs-from-scratch

Agent safety v2

63/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • Repository appears stale

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add bigscience-workshop/petals

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Open JSON

/api/agent/resolve?task=Use%20Petals%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Petals%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/bigscience-workshop-petals/install

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Petals in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Petals%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/bigscience-workshop-petals/install
Install command: npx skills add bigscience-workshop/petals
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Install handoff

/api/skills/bigscience-workshop-petals/install

LLM text format

/api/skills/bigscience-workshop-petals/install?format=text

Find alternatives

/api/skills/search?q=Petals&limit=3

Agent prompt

Use Petals for this task. Review https://www.openagentskill.com/api/skills/bigscience-workshop-petals/install, then install with: npx skills add bigscience-workshop/petals

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Manifest

/api/registry/manifest/bigscience-workshop-petals

LLM text

/api/registry/manifest/bigscience-workshop-petals?format=text

Install alias

/api/registry/install/bigscience-workshop-petals

Recommend

/api/registry/recommend?task=Use%20Petals%20in%20an%20agent%20workflow&limit=3

Agent fit

86/100

GitHub automation

Use-case tags

GitHub automationCoding agentsRAG and knowledge

Platforms

Python, Machine Learning, Claude Code, OpenAI Agents

Audit report

Needs review · 79/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Primary pick for GitHub automation

Use this as a leading candidate, then validate the README and install path in your own agent stack.

86
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

GitHub automation

Trust label

Production-ready

Install path

Command ready

Use when

  • GitHub automation workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 10,206 GitHub stars
  • install command or GitHub repo available
  • 82/100 quality profile
  • 5 OpenAgentSkill engagement events

review first

  • Repository looks stale

Implementation path

  1. 1Install it in a sandbox agent and run one GitHub automation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Review then install

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

80
OpenAgentSkill Trust Score

GitHub adoption

PASS

10K GitHub stars

Stars/forks activity

PASS

10K stars, 615 forks; issue activity unavailable in current metadata

Recent maintenance

FIX

2y since push

License clarity

PASS

MIT

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Large GitHub adoption signal
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Repository looks stale
  • Recent maintenance: 2y since push
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Use as the primary candidate after human or sandbox review.

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

82
GitHub stars
10K
Freshness
2y ago
Install ready
Yes
License
MIT
Review before install: Repository looks stale

Workflow fit

Use this skill in these scenarios

Manage repositories

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Search private knowledge

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Workflow fit

Add it to a complete workflow

Turn skills into distribution

Content growth agent

A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.

Inspect, patch, and verify code

Coding review agent

A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Ingest, retrieve, and cite

RAG knowledge base

A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.

Alternative shortlist

Compare before you install

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Overview

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform compatibility

pythonFULL
machine-learningFULL

Technical details

Version
1.0.0
License
MIT
Last updated
Jun 16, 2026
Published
Jun 16, 2026

Frameworks & tools

PythonMachine Learning

Decision snapshot

Primary pick

86
Ready
Adopt
Stage

10,206 GitHub stars

Audit

Install review

Install and adoption review

79
Needs review
Security
89/100
Maintenance
38/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
—
Recent failure
—
Outcomes
0
Output quality
—
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for Petals, ready for a manual X post.

Curator note
Petals: 🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloa...

10.2K stars

https://www.openagentskill.com/skills/bigscience-workshop-petals?ref=x
Open X draft
Optional reply with install command
Listing + install path for Petals:
https://www.openagentskill.com/skills/bigscience-workshop-petals?ref=x

Install: npx skills add bigscience-workshop/petals
Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Community indexed listing is attributed to bigscience-workshop but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/bigscience-workshop-petals?metric=listed&label=Listed)](https://www.openagentskill.com/skills/bigscience-workshop-petals)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/bigscience-workshop-petals?metric=trust&label=Trust)](https://www.openagentskill.com/skills/bigscience-workshop-petals)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/bigscience-workshop-petals?metric=audit&label=Audit)](https://www.openagentskill.com/skills/bigscience-workshop-petals/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/bigscience-workshop-petals?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/bigscience-workshop-petals)
Preview badge Open audit Creator kit

Author

B

bigscience-workshop✓

@bigscience-workshop

Tags

machine-learningautomationml-mediabloomchatbotdeep-learningdistributed-systemsfalcongptguanaco

Platform fit

Claude CodeOpenAI Agents

Health signals

GitHub stars
10.2K
Quality score
56/100
Last GitHub push
Sep 7, 2024
Framework hints
2
OpenAgentSkill views
5
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Review then install

80
  • GitHub adoption10K GitHub starsPASS
  • Stars/forks activity10K stars, 615 forks; issue activity unavailable in current metadataPASS
  • Recent maintenance2y since pushFIX
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS

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