Star0

Face Recognition

STRONG · 84
Community indexed

The world's simplest facial recognition api for Python and the command line

Downloads0
Stars56.5K
Version1.0.0
Quality88/100 · Excellent
Trust84/100 · Strong shortlist
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 + CLI + Codex

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

Install

Ready

npx skills add ageitgey/face_recognition

Maintenance

stale

2y since push

Risk

Needs review

Permission surface may require sandboxing

GitHub quality

57K

88/100 quality · 84/100 trust

Coverage tags

CodingGitHub automationml-automationmachine-learningautomation

Review notes

Permission surface may require sandboxing · Repository appears 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

Excellent
88

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Strong shortlist
84

Good trust signals with a few areas worth checking before rollout.

Audit

Needs review
79

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

Trust Score v3

Human review before install

Test in a sandbox workflow and compare its install path with close alternatives.

PythonMachine LearningCodexClaude CodeCursor

Stars

57K GitHub stars

Repo activity

57K stars, 14K forks

Maintenance

2y since push

License

MIT

Install

npx skills add ageitgey/face_recognition

Install safety

standard package or runtime install path

Permission surface

shell or command execution, filesystem or document access

Docs

Usable metadata, review docs

Risk summary

Review before production

  • Repository looks stale
  • Permission surface needs review: shell or command execution, filesystem or document access
  • Recent maintenance: 2y since push
  • Permission surface: shell or command execution, filesystem or document access

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • 2y since push

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
  • Compare code changes

Suited agents

PythonMachine LearningCodexClaude CodeCursorOpenAgentSkill CLICLI

Trust and risk

Trust score
84/100
Risk level
Needs review
Auto install
review

Install command

npx skills add ageitgey/face_recognition
Public auditResolve APIInstall handoff

Do not use when

  • teams that require actively maintained dependencies
  • production agents without a repository review
  • Repository looks stale
  • High-risk permission hints: Shell or command execution
  • Permission surface may require sandboxing

Alternative

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Alternative

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Agent safety v2

51/100 · 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
  • Permission surface may require sandboxing

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 ageitgey/face_recognition

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%20Face%20Recognition%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

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

Install handoff

/api/skills/ageitgey-face-recognition/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 Face Recognition in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Face%20Recognition%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/ageitgey-face-recognition/install
Install command: npx skills add ageitgey/face_recognition
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/ageitgey-face-recognition/install

LLM text format

/api/skills/ageitgey-face-recognition/install?format=text

Find alternatives

/api/skills/search?q=Face%20Recognition&limit=3

Agent prompt

Use Face Recognition for this task. Review https://www.openagentskill.com/api/skills/ageitgey-face-recognition/install, then install with: npx skills add ageitgey/face_recognition

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/ageitgey-face-recognition

LLM text

/api/registry/manifest/ageitgey-face-recognition?format=text

Install alias

/api/registry/install/ageitgey-face-recognition

Recommend

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

Agent fit

91/100

GitHub automation

Use-case tags

GitHub automationCoding agentsRAG and knowledge

Platforms

Python, Machine Learning, Claude Code

Audit report

Needs review · 79/100

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.

91
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

  • 56,503 GitHub stars
  • install command or GitHub repo available
  • 88/100 quality profile
  • 3 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

Strong shortlist

Good trust signals with a few areas worth checking before rollout.

84
Trust score

GitHub adoption

PASS

57K GitHub stars

Stars/forks activity

PASS

57K stars, 14K 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

Review before install

  • Repository looks stale
  • Permission surface needs review: shell or command execution, filesystem or document access
  • Recent maintenance: 2y since push
  • Permission surface: shell or command execution, filesystem or document access

Recommended action

Test in a sandbox workflow and compare its install path with close alternatives.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

88
GitHub stars
57K
Freshness
2y ago
Install ready
Yes
License
MIT
Check 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.

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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Overview

The world's simplest facial recognition api for Python and the command line

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

91
Ready
Adopt
Stage

56,503 GitHub stars

Audit snapshot

Install review

Install and adoption review

79
Needs review
Security
84/100
Maintenance
38/100
Install
92/100
Open full audit

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 Face Recognition, ready for a manual X post.

OpenAgentSkill Update
OpenAgentSkill Update
Today: Face Recognition

Use it when you want your coding agent to carry more repo context and ship repetitive changes faster.

56.5K stars - ml-automation
Link: https://www.openagentskill.com/skills/ageitgey-face-recognition?ref=x
#AIAgents #OpenAgentSkill
Open X draft
Optional reply with install command
Link for Face Recognition:
https://www.openagentskill.com/skills/ageitgey-face-recognition?ref=x

Install: npx skills add ageitgey/face_recognition
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
ageitgey
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 ageitgey 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/ageitgey-face-recognition)](https://www.openagentskill.com/skills/ageitgey-face-recognition)
Preview badgeAudit badge

Author

A

ageitgey✓

@ageitgey

Tags

machine-learningautomationml-mediaface-detectionface-recognitionpythongithub

Platform Fit

Claude Code

Health Signals

GitHub stars
56.5K
Quality score
61/100
Last GitHub push
Aug 21, 2024
Framework hints
2
OpenAgentSkill views
2
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

Strong shortlist

84
  • GitHub adoption57K GitHub starsPASS
  • Stars/forks activity57K stars, 14K forks; issue activity unavailable in current metadataPASS
  • Recent maintenance2y since pushFIX
  • License clarityMITPASS
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
  • Dependency/runtime risknetwork or browser surfacePASS

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