Moss

STRONG · 83
Community indexed

The retrieval layer for production AI systems. Lightning-fast (<10ms) search without vector databases. Built for browser, edge, on-device, and cloud.

Downloads0
Stars421
Version1.0.0
Quality83/100 · Strong
Trust83/100 · Strong shortlist
Audit87/100 · Safe to try

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Agent fit

Claude Code + Browser agents + CLI

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

Install

Ready

npx skills add usemoss/moss

Maintenance

fresh

3d since push

Risk

Safe to try

Quality score needs review

GitHub quality

421

83/100 quality · 83/100 trust

Coverage tags

ResearchRAG and knowledgerag-knowledgesemantic-searchretrieval

Review notes

Quality score 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
83

Solid option that is likely worth shortlisting for production workflows.

Trust

Strong shortlist
83

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

Audit

Safe to try
87

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.

PythonSemantic SearchCodexClaude CodeCursor

Stars

421 GitHub stars

Repo activity

421 stars, 50 forks

Maintenance

3d since push

License

BSD-2-Clause

Install

npx skills add usemoss/moss

Install safety

standard package or runtime install path

Permission surface

filesystem or document access, network or browser access

Docs

Strong README/SKILL.md context

Risk summary

Low metadata risk

  • Quality score needs review

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • 3d 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

  • RAG and knowledge workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Chunk documents
  • Create embeddings

Suited agents

PythonSemantic SearchCodexClaude CodeCursorOpenAgentSkill CLIBrowser agentsCLI

Trust and risk

Trust score
83/100
Risk level
Safe to try
Auto install
review

Install command

npx skills add usemoss/moss

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No OpenAgentSkill engagement data yet
  • Quality score needs review

Agent safety v2

67/100 · 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

Browser automation

Skill may drive a browser or interact with web pages.

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 usemoss/moss

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

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

82/100

RAG and knowledge

Platforms

Python, Semantic Search, Claude Code, Browser agents

Audit report

Safe to try · 87/100

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

View audit report

Agent decision cockpit

Companion skill for RAG and knowledge

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

82
Readiness
Shortlist
Stage

Role in stack

Companion skill

Primary fit

RAG and knowledge

Trust label

Strong shortlist

Install path

Command ready

Use when

  • RAG and knowledge workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 83/100 quality profile

Review first

  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one RAG and knowledge 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.

83
Trust score

GitHub adoption

INFO

421 GitHub stars

Stars/forks activity

INFO

421 stars, 50 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

3d since push

License clarity

PASS

BSD-2-Clause

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern

Review before install

  • Quality score needs review

Recommended action

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

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

83
GitHub stars
421
Freshness
3d ago
Install ready
Yes
License
BSD-2-Clause

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

The retrieval layer for production AI systems. Lightning-fast (<10ms) search without vector databases. Built for browser, edge, on-device, and cloud.

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
semantic-searchFULL

Technical Details

Version
1.0.0
License
BSD-2-Clause
Last Updated
6/16/2026
Published
6/16/2026

Frameworks & Tools

PythonSemantic Search

Decision snapshot

Companion skill

82
Ready
Shortlist
Stage

recent repository activity

Audit snapshot

Install review

Install and adoption review

87
Safe to try
Security
85/100
Maintenance
100/100
Install
92/100
Open full audit

Install

Add to agent workflow

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

Growth loop

Share kit

X

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

OpenAgentSkill Update
OpenAgentSkill Update
Today: Moss

Use it when you need an agent to browse, extract, or monitor web pages without building a scraper from scratch.

421 stars - rag-knowledge
Link: https://www.openagentskill.com/skills/usemoss-moss?ref=x
#AIAgents #OpenAgentSkill
Open X draft
Optional reply with install command
Link for Moss:
https://www.openagentskill.com/skills/usemoss-moss?ref=x

Install: npx skills add usemoss/moss

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
usemoss
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 usemoss 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/usemoss-moss)](https://www.openagentskill.com/skills/usemoss-moss)

Author

U

usemoss

@usemoss

Health Signals

GitHub stars
421
Quality score
52/100
Last GitHub push
Jun 16, 2026
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

Strong shortlist

83
  • GitHub adoption421 GitHub starsINFO
  • Stars/forks activity421 stars, 50 forks; issue activity unavailable in current metadataINFO
  • Recent maintenance3d since pushPASS
  • License clarityBSD-2-ClausePASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime risknetwork or browser surfacePASS