Star0

Clip Guided Diffusion

REVIEW · 66
Community indexed

A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.

Downloads0
Stars460
Version1.0.0
Quality70/100 · Strong
Trust66/100 · Sandbox only
Audit75/100 · Needs review

Supply asset profile

Design and creative production

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

Browse track

Scenario

Multimodal media

I need my agent to process images, video, or audio and extract useful information.

Agent fit

Claude Code + OpenAI Agents + CLI

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

Install

Ready

npx skills add afiaka87/clip-guided-diffusion

Maintenance

stable

6mo since push

Risk

Needs review

Quality score needs review

GitHub quality

460

70/100 quality · 74/100 trust

Coverage tags

DesignMultimodal mediamedia-automationimage-generationmedia

Review notes

Quality score needs review · Needs review

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
70

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
66

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

Audit

Needs review
75

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

460 GitHub stars

Repo activity

460 stars, 60 forks

Maintenance

6mo since push

License

MIT

Install

npx skills add afiaka87/clip-guided-diffusion

Install safety

standard package or runtime install path

Permission surface

shell or command execution, filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Quality score needs review

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
  • builders willing to evaluate younger projects
  • Inspect repository metadata

Suited agents

PythonImage GenerationCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add afiaka87/clip-guided-diffusion
Policy
review
Human review
yes

Trust and risk

Trust
66/100
Audit
75/100
Risk level
Needs review

Outcome loop

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

Install command

npx skills add afiaka87/clip-guided-diffusion
Public auditEval reportResolve APIInstall handoff

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
  • High-risk permission hints: Shell or command execution
  • Quality score needs review

Alternative

Unsloth

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Agent safety v2

47/100 · Avoid automatic 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

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

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.

  • High-risk permission hints: Shell or command execution
  • 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 afiaka87/clip-guided-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

Resolve JSON

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

Resolve text

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

Install handoff

/api/skills/afiaka87-clip-guided-diffusion/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 Clip Guided Diffusion in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Clip%20Guided%20Diffusion%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/afiaka87-clip-guided-diffusion/install
Install command: npx skills add afiaka87/clip-guided-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

Install handoff

/api/skills/afiaka87-clip-guided-diffusion/install

LLM text format

/api/skills/afiaka87-clip-guided-diffusion/install?format=text

Find alternatives

/api/skills/search?q=Clip%20Guided%20Diffusion&limit=3

Agent prompt

Use Clip Guided Diffusion for this task. Review https://www.openagentskill.com/api/skills/afiaka87-clip-guided-diffusion/install, then install with: npx skills add afiaka87/clip-guided-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

Manifest

/api/registry/manifest/afiaka87-clip-guided-diffusion

LLM text

/api/registry/manifest/afiaka87-clip-guided-diffusion?format=text

Install alias

/api/registry/install/afiaka87-clip-guided-diffusion

Recommend

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

Agent fit

62/100

GitHub automation

Use-case tags

GitHub automationMultimodal mediaCoding agents

Platforms

Python, Image Generation, Claude Code, OpenAI Agents

Audit report

Needs review · 75/100

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

Fallback candidate for GitHub automation

Prototype with this skill first; keep a fallback candidate ready.

62
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

GitHub automation

Trust label

Prototype first

Install path

Command ready

Use when

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • install command or GitHub repo available
  • 70/100 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 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

Sandbox only

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

66
Trust score

GitHub adoption

INFO

460 GitHub stars

Stars/forks activity

INFO

460 stars, 60 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

6mo 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
  • 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

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

70
GitHub stars
460
Freshness
6mo ago
Install ready
Yes
License
MIT

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.

Process rich media

Multimodal media

I need my agent to process images, video, or audio and extract useful information.

Build and ship code

Coding agents

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

Stack fit

Add it to a complete workflow

Turn skills into distribution

Content growth agent

A stack 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 stack 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 stack 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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Compare all

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Overview

A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.

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
6/22/2026
Published
6/20/2026

Frameworks & Tools

PythonImage Generation

Decision snapshot

Fallback candidate

62
Ready
Prototype
Stage

install command or GitHub repo available

Audit snapshot

Install review

Install and adoption review

75
Needs review
Security
83/100
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.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

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

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

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

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

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

460 stars

https://www.openagentskill.com/skills/afiaka87-clip-guided-diffusion?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for Clip Guided Diffusion:
https://www.openagentskill.com/skills/afiaka87-clip-guided-diffusion?ref=x

Install: npx skills add afiaka87/clip-guided-diffusion
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.

Creator
afiaka87
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 afiaka87 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/afiaka87-clip-guided-diffusion)](https://www.openagentskill.com/skills/afiaka87-clip-guided-diffusion)
Preview badgeAudit badge

Author

A

afiaka87

@afiaka87

Tags

image-generationmediaml-mediaartificial-intelligencedeep-learningdiffusionmultimodalmultimodalityopenaiopenai-clip

Platform Fit

Claude CodeOpenAI Agents

Health Signals

GitHub stars
460
Quality score
45/100
Last GitHub push
Dec 31, 2025
Framework hints
2
OpenAgentSkill views
3
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

66
  • GitHub adoption460 GitHub starsINFO
  • Stars/forks activity460 stars, 60 forks; issue activity unavailable in current metadataINFO
  • Recent maintenance6mo since pushINFO
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surfaceINFO

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