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Skills/utility/Brand Loom

Brand Loom

REVIEW · 60
Community indexed

Open-source marketing skills that run on any model — with a hosted brand-memory engine. No coding agent required.

Downloads0
Stars22
Version1.0.0
Quality74/100 · Strong
Trust60/100 · Sandbox only
Audit78/100 · 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 + Cursor

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

Install

Ready

npx skills add hogan-tech/brand-loom

Maintenance

fresh

3d since push

Risk

Needs review

Dependency or permission surface needs review

GitHub quality

22

74/100 quality · 68/100 trust

Coverage tags

CodingGitHub automationutilityagent-skillskill

Review notes

Dependency or permission surface needs review · Permission surface may require sandboxing

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
74

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
60

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

Audit

Needs review
78

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.

PythonCodexClaude CodeCursorOpenAgentSkill CLI

Stars

22 GitHub stars

Repo activity

22 stars, 3 forks

Maintenance

3d since push

License

Apache-2.0

Install

npx skills add hogan-tech/brand-loom

Install safety

standard package or runtime install path

Permission surface

secrets or environment access, shell or command execution

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 22 GitHub stars

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

PythonCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add hogan-tech/brand-loom
Policy
block
Human review
yes

Trust and risk

Trust
60/100
Audit
78/100
Risk level
Needs review

Outcome loop

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

Install command

npx skills add hogan-tech/brand-loom
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • No OpenAgentSkill engagement data yet
  • High-risk permission hints: Shell or command execution, Secrets or environment access

Alternative

Claude Scientific Skills

31.2K stars

npx skills add K-Dense-AI/claude-scientific-skills

Alternative

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Kubesphere

17.0K stars

npx skills add kubesphere/kubesphere

Agent safety v2

38/100 · Avoid automatic install

Blocked for auto-installblock

This skill should not be selected by an agent without explicit human security review.

Do not auto-install. Inspect the source, dependencies, and permission surface first.

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.

high

Secrets or environment access

Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.

medium

Database access

Skill may inspect schemas, query databases, or work with persistent stores.

  • High-risk permission hints: Shell or command execution, Secrets or environment access
  • Dependency or permission surface 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 hogan-tech/brand-loom

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%20Brand%20Loom%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

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

Install handoff

/api/skills/hogan-tech-brand-loom/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 Brand Loom in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Brand%20Loom%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/hogan-tech-brand-loom/install
Install command: npx skills add hogan-tech/brand-loom
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/hogan-tech-brand-loom/install

LLM text format

/api/skills/hogan-tech-brand-loom/install?format=text

Find alternatives

/api/skills/search?q=Brand%20Loom&limit=3

Agent prompt

Use Brand Loom for this task. Review https://www.openagentskill.com/api/skills/hogan-tech-brand-loom/install, then install with: npx skills add hogan-tech/brand-loom

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/hogan-tech-brand-loom

LLM text

/api/registry/manifest/hogan-tech-brand-loom?format=text

Install alias

/api/registry/install/hogan-tech-brand-loom

Recommend

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

Agent fit

73/100

GitHub automation

Use-case tags

GitHub automationCoding agentsBrowser automation

Platforms

Python, Claude Code, OpenAI Agents, Cursor

Audit report

Needs review · 78/100

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

Companion skill for GitHub automation

Shortlist this skill and compare it with close alternatives before production adoption.

73
Readiness
Shortlist
Stage

Role in stack

Companion skill

Primary fit

GitHub automation

Trust label

Strong shortlist

Install path

Command ready

Use when

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

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 74/100 quality profile

Review first

  • Low GitHub adoption signal
  • 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

Sandbox only

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

60
Trust score

GitHub adoption

FIX

22 GitHub stars

Stars/forks activity

FIX

22 stars, 3 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

3d since push

License clarity

PASS

Apache-2.0

Good signals

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

Review before install

  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 22 GitHub stars
  • Stars/forks activity: 22 stars, 3 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
  • 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.

74
GitHub stars
22
Freshness
3d ago
Install ready
Yes
License
Apache-2.0
Check before install: Low GitHub adoption signal

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.

Operate web apps

Browser automation

I need my agent to control a browser, fill forms, and verify web app workflows.

Stack fit

Add it to a complete workflow

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.

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.

Operate and verify web apps

Browser QA agent

A stack for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.

Alternative shortlist

Compare before you install

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Overview

# brand-loom

**Open-source marketing skills that run on any model — with a hosted brand-memory engine. No coding agent required.**

[![License](https://img.shields.io/badge/license-Apache--2.0-blue.svg)](LICENSE) [![PyPI](https://img.shields.io/pypi/v/brand-loom.svg)](https://pypi.org/project/brand-loom/) [![CI](https://github.com/hogan-tech/brand-loom/actions/workflows/ci.yml/badge.svg)](https://github.com/hogan-tech/brand-loom/actions/workflows/ci.yml)

`brand-loom` is a small library of **commodity marketing skills** — hooks, captions, hashtags, content repurposing, SEO outlines, FAQs, schema.org markup, CTAs — that run on **any LLM** (OpenAI, Anthropic, Gemini, or a local model via Ollama). Bring your own key. No coding agent, no vendor lock-in.

> Want it *on-brand* and *multi-platform* automatically — without writing prompts? That's the hosted engine at > **[neoxra.com](https://neoxra.com)** (auto voice extraction, multi-platform orchestration, Brand Kit). `brand-loom` > is the open core; Neoxra hosts the rest.

## Why brand-loom

- **Model-agnostic.** One interface, four providers, BYOK. Swap models with one env var. - **No coding agent required.** Plain Python — not coupled to Claude Code / Cursor / OpenClaw. - **Brand-aware seam.** Every skill accepts an optional `brand_context`. Ship a basic default here; get automatic, extracted brand voice on hosted Neoxra.

## Quickstart (60 seconds, no API key)

```bash pip install brand-loom ```

```python from brand_loom.providers import use_provider from brand_loom.skills.hook import HookSkill

use_provider("fake") # runs with zero keys; swap for "openai"/"anthropic"/"gemini"/"ollama" skill = HookSkill() print(skill.run_topic("How we cut cloud costs 40%")) ```

Real provider (BYOK):

```bash pip install "brand-loom[openai]" export OPENAI_API_KEY=sk-... export BRANDLOOM_PROVIDER=openai ```

Run it as an agent (no coding agent required):

```bash brand-loom run hook --text "How we cut cloud costs 40%"

Platform Compatibility

pythonFULL

Technical Details

Version
1.0.0
License
Apache-2.0
Last Updated
7/19/2026
Published
7/18/2026

Frameworks & Tools

Python

Decision snapshot

Companion skill

73
Ready
Shortlist
Stage

recent repository activity

Audit snapshot

Install review

Install and adoption review

78
Needs review
Security
75/100
Maintenance
100/100
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 Brand Loom, ready for a manual X post.

Curator note
Finance agents don't need louder takes. They need sources, data, and a repeatable research path.

Brand Loom helps turn market noise into source-backed analysis an agent can reuse.

22 stars

https://www.openagentskill.com/skills/hogan-tech-brand-loom?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for Brand Loom:
https://www.openagentskill.com/skills/hogan-tech-brand-loom?ref=x

Install: npx skills add hogan-tech/brand-loom
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
hogan-tech
Source
hogan-tech/brand-loom
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 hogan-tech 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/hogan-tech-brand-loom?metric=listed&label=Listed)](https://www.openagentskill.com/skills/hogan-tech-brand-loom)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/hogan-tech-brand-loom?metric=trust&label=Trust)](https://www.openagentskill.com/skills/hogan-tech-brand-loom)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/hogan-tech-brand-loom?metric=audit&label=Audit)](https://www.openagentskill.com/skills/hogan-tech-brand-loom/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/hogan-tech-brand-loom?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/hogan-tech-brand-loom)
Preview badge Open audit Creator Kit

Author

H

hogan-tech

@hogan-tech

Tags

agent-skillskillagentcoding-agentpython

Platform Fit

Claude CodeOpenAI AgentsCursor

Health Signals

GitHub stars
22
Quality score
47/100
Last GitHub push
Jul 17, 2026
Framework hints
1
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

Sandbox only

60
  • GitHub adoption22 GitHub starsFIX
  • Stars/forks activity22 stars, 3 forks; issue activity unavailable in current metadataFIX
  • Recent maintenance3d since pushPASS
  • License clarityApache-2.0PASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surface, credential or environment accessFIX

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The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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