Simple Diffusion

REVIEW · 67
Community indexed

A minimal implementation of a denoising diffusion model in PyTorch.

Downloads0
Stars134
Version1.0.0
Quality60/100 · Promising
Trust67/100 · Sandbox only
Audit73/100 · Needs review

Supply asset profile

Design and creative production

Design assets, images, video, audio, multimodal media, presentation, and creative production skills.

Browse track

Scenario

Design and creative

I need my agent to produce design assets, UI directions, presentations, or creative media workflows.

Agent fit

Claude Code + CLI + Codex

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

Install

Ready

npx skills add filipbasara0/simple-diffusion

Maintenance

stable

7mo since push

Risk

Needs review

Quality score needs review

GitHub quality

134

60/100 quality · 75/100 trust

Coverage tags

DesignDesign and creativemedia-automationimage-generationcreative

Review notes

Quality score needs review · Stars/forks activity: 134 stars, 13 forks; issue activity unavailable in current metadata

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

Promising
60

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
67

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
73

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

Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

PythonImage GenerationCodexClaude CodeCursor

Stars

134 GitHub stars

Repo activity

134 stars, 13 forks

Maintenance

7mo since push

License

MIT

Install

npx skills add filipbasara0/simple-diffusion

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Usable metadata, review docs

Risk summary

Review before production

  • Quality score needs review
  • Stars/forks activity: 134 stars, 13 forks; issue activity unavailable in current metadata

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

  • Design and creative workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect visual requirements

Suited agents

PythonImage GenerationCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add filipbasara0/simple-diffusion
Policy
review
Human review
yes

Trust and risk

Trust
67/100
Audit
73/100
Risk level
Needs review

Outcome loop

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

Install command

npx skills add filipbasara0/simple-diffusion

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • Quality score needs review
  • Stars/forks activity: 134 stars, 13 forks; issue activity unavailable in current metadata

Agent safety v2

57/100 · Review before install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

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.

  • Quality score needs review

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 filipbasara0/simple-diffusion

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 Simple Diffusion in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Simple%20Diffusion%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/filipbasara0-simple-diffusion/install
Install command: npx skills add filipbasara0/simple-diffusion
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 Simple Diffusion for this task. Review https://www.openagentskill.com/api/skills/filipbasara0-simple-diffusion/install, then install with: npx skills add filipbasara0/simple-diffusion

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

52/100

Design and creative

Platforms

Python, Image Generation, Claude Code

Audit report

Needs review · 73/100

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

View audit reportView eval report

Agent decision cockpit

Needs validation for Design and creative

Do a manual repository review before adding this to an agent workflow.

52
Readiness
Review
Stage

Role in stack

Needs validation

Primary fit

Design and creative

Trust label

Needs manual review

Install path

Command ready

Use when

  • Design and creative workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • install command or GitHub repo available
  • 60/100 quality profile
  • 5 OpenAgentSkill engagement events

Review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one Design and creative 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

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

67
Trust score

GitHub adoption

INFO

134 GitHub stars

Stars/forks activity

CHECK

134 stars, 13 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

7mo since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Quality score needs review
  • Stars/forks activity: 134 stars, 13 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

60
GitHub stars
134
Freshness
7mo ago
Install ready
Yes
License
MIT

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

A minimal implementation of a denoising diffusion model in PyTorch.

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
image-generationFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
6/20/2026
Published
6/20/2026

Frameworks & Tools

PythonImage Generation

Decision snapshot

Needs validation

52
Ready
Review
Stage

install command or GitHub repo available

Audit snapshot

Install review

Install and adoption review

73
Needs review
Security
87/100
Maintenance
62/100
Install
92/100
Open full auditOpen 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.

Install

Add to agent workflow

Free and open source. Review the audit before production use.

Growth loop

Share kit

X

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

Curator note
A good workflow skill turns repeated manual steps into something an agent can safely replay.

Simple Diffusion helps agents move a repeatable workflow out of manual copy-paste.

134 stars

https://www.openagentskill.com/skills/filipbasara0-simple-diffusion?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for Simple Diffusion:
https://www.openagentskill.com/skills/filipbasara0-simple-diffusion?ref=x

Install: npx skills add filipbasara0/simple-diffusion

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 filipbasara0 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/filipbasara0-simple-diffusion)](https://www.openagentskill.com/skills/filipbasara0-simple-diffusion)

Author

F

filipbasara0

@filipbasara0

Platform Fit

Health Signals

GitHub stars
134
Quality score
38/100
Last GitHub push
Dec 5, 2025
Framework hints
2
OpenAgentSkill views
1
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

Sandbox only

67
  • GitHub adoption134 GitHub starsINFO
  • Stars/forks activity134 stars, 13 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance7mo since pushINFO
  • License clarityMITPASS
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS