Petals

TRUSTED · 87
Community indexed

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

Downloads 0
Stars 10.2K
Version 1.0.0
Quality 82/100 · Strong
Trust 87/100 · Production candidate
Audit 81/100 · 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 · 87/100 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

Production candidate
87

Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency risk, and install availability.

Audit

Needs review
81

Install readiness, security metadata, maintenance, and adoption risk.

Agent safety v2

65/100 · 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

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

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

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

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

Agent fit

84/100

GitHub automation

Platforms

Python, Machine Learning, Claude Code, OpenAI Agents

Audit report

Needs review · 81/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit 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.

84
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

Review first

  • Repository looks stale
  • No OpenAgentSkill engagement data yet

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

Production candidate

Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency risk, and install availability.

87
Trust score

GitHub adoption

PASS

10K GitHub stars

Recent maintenance

FIX

2y since push

License clarity

PASS

MIT

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Large GitHub adoption signal

Review before install

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

Recommended action

Shortlist for production use, then run a normal repository and dependency 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
Check before install: Repository looks stale

Workflow fit

Use this skill in these scenarios

Stack fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills in this category, ranked with the same readiness and quality signals.

Compare all

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
6/16/2026
Published
6/16/2026

Frameworks & Tools

PythonMachine Learning

Decision snapshot

Primary pick

84
Ready
Adopt
Stage

10,206 GitHub stars

Audit Snapshot

Install and adoption review

81
Needs review
Security
97/100
Maintenance
38/100
Install
92/100
Open full audit

Growth loop

Share this skill

X

Scenario-led draft for Petals, with the OpenAgentSkill Update theme and canonical URL.

OpenAgentSkill Update
Today: Petals

Use it when you want a practical agent capability you can plug into real work, not just another demo.

10.2K stars - ml-automation
Link: https://www.openagentskill.com/skills/bigscience-workshop-petals?ref=x
#AIAgents #OpenAgentSkill
Open X draft
Optional reply with install command
Link for Petals:
https://www.openagentskill.com/skills/bigscience-workshop-petals?ref=x

Install: npx skills add bigscience-workshop/petals

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.

README badge

Add this badge to your GitHub README to show the listing, trust score, and install handoff.

[![OpenAgentSkill](https://www.openagentskill.com/api/badge/bigscience-workshop-petals)](https://www.openagentskill.com/skills/bigscience-workshop-petals)

Author

B

bigscience-workshop✓

@bigscience-workshop

Health Signals

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

Production candidate

87
  • GitHub adoption10K GitHub starsPASS
  • Recent maintenance2y since pushFIX
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency riskno major dependency risk hints in public metadataPASS
  • Install availabilitynpx skills add bigscience-workshop/petalsPASS