FreeRide

Skill · GitHub · ★ 238 · graded 2026-10-19Source linked

FreeRide gives you unlimited free AI in OpenClaw by automatically managing OpenRouter's free models.

No outside reports on file

FreeRide is distributed via GitHub (Shaivpidadi/FreeRide); review its source code, dependencies, and requested permissions before use.

Based on public adoption and transparency signals as of Oct 19, 2026. Our opinion, not a code audit or security guarantee.

Was this verdict for FreeRide helpful?

What it can access

  • Local filesNo local folder access notedLOW
  • Command executionRuns shell or system commandsREVIEW
  • Network reachConnects to outside service APINOTED
  • CredentialsNo API token requiredLOW
  • Package sourceGitHub (Shaivpidadi/FreeRide)PUBLIC

Inferred from this listing’s public package details and description. Check the project’s source before installing.

Install

No npm or PyPI package is listed. Install from source: github.com/Shaivpidadi/FreeRide ↗

All setup options ↓

About FreeRide

FreeRide is an agent skill focused on Developer tools: FreeRide gives you unlimited free AI in OpenClaw by automatically managing OpenRouter's free models.

It is hosted on GitHub at Shaivpidadi/FreeRide (238 GitHub stars). Based on its public metadata, it operates with standard local or API scope without broad shell execution flags noted.

Setup

Check these steps against the project’s own instructions before running anything.

No standalone npm or PyPI package is listed for this skill. Clone and inspect the source repository directly:

bash
git clone https://github.com/Shaivpidadi/FreeRide.git

Review the README and source files in https://github.com/Shaivpidadi/FreeRide (opens external site) before running any setup commands.

Why this grade

CC — Moderate risk signals

Signal-based grade (2/7 points): public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

27/100
GitHub stars
238
Listing last refreshed
2026-10-28

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Security reports

No reports found for this package in our research (last checked 2026-10-29).

Check a specific version →

Risks to watch for

  • Dependency & version pinning: Distributed via GitHub (Shaivpidadi/FreeRide). Pin an exact release version or commit SHA rather than floating tags so upstream updates are reviewed first.

How to lower the risk

Least-privilege permissions

  • Give it access only to the specific folders, accounts or projects it needs, never your whole drive or admin account.
  • Use a separate, limited API key or login just for this tool so you can switch it off without affecting anything else.

Network isolation

  • Run it on a work computer or sandbox account, not one holding personal or company-sensitive data.
  • If your IT team can, limit which websites and services it is allowed to contact.

Monitoring

  • Check its activity history or logs weekly at first, and look at what it changed or sent.
  • Turn on alerts for new logins or unusual usage on any account it connects to.

Red flags to watch for

  • It asks for more access than its job requires, or prompts you to paste passwords.
  • It suddenly updates with new owners, or starts contacting unfamiliar websites.

Questions

How do I install FreeRide?

FreeRide does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/Shaivpidadi/FreeRide.

Are there security reports about FreeRide?

No reports found for this package in our research (last checked 2026-10-29). FreeRide currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include dependency & version pinning:.

Is FreeRide actively maintained?

FreeRide has 238 GitHub stars. Our directory data was last refreshed on 2026-10-28. Check recent commit activity, release tags, and open issues at github.com/Shaivpidadi/FreeRide before pinning it in production.

What are alternatives to FreeRide?

Compare FreeRide side by side with similar skills in the Related tools section on this page, or browse all skills on AgentArmorHQ.

README badge and team notes

Maintain or use FreeRide? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade C for FreeRide

GitHub README Markdown:

markdown
[![AgentArmorHQ Risk Grade for FreeRide](https://agentarmorhq.com/api/badge/shaivpidadi-freeride)](https://agentarmorhq.com/skills/shaivpidadi-freeride)

HTML embed:

html
<a href="https://agentarmorhq.com/skills/shaivpidadi-freeride"><img src="https://agentarmorhq.com/api/badge/shaivpidadi-freeride" alt="AgentArmorHQ Risk Grade for FreeRide" height="20" /></a>

Terminal check:

terminal
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "shaivpidadi-freeride"

Share with your security lead

Need sign-off to use FreeRide? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: FreeRide
- **Listing URL:** https://agentarmorhq.com/skills/shaivpidadi-freeride
- **Type:** AI agent skill
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 238 GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** Runs shell or system commands
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** GitHub (Shaivpidadi/FreeRide)

#### Recommended Hardened Setup
- **Source Repo:** https://github.com/Shaivpidadi/FreeRide
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 19, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type
AI agent skill
Publisher
Shaivpidadi
Source code
github.com/Shaivpidadi/FreeRide
Est. context load
~51 tokens idle · ~450 tokens when active (on-demand skill)
Popularity
238 GitHub stars
Last updated
2026-10-28
Last graded
2026-10-19

Community

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