Quick answer
Stars and green badges do not prove that code is safe. Check the maintainer, source, license, install scripts, dependencies, write locations, and requested access before running anything. Read files in GitHub first. A project executable can run code even when you only ask for --help or a dry run.
A temporary folder or user-global install keeps files organized. Neither prevents the program from accessing other files available to your account. If testing unknown code is necessary, use a disposable environment with restricted access and no real secrets.
Seven checks before installation
Starting points: GitHub repository practicesand OpenSSF Scorecard
- Confirm the source. Follow repository redirects and compare the owner with links from the project's official website. Record the version or commit you intend to use.
- Read the README and license. Check the stated purpose, supported platforms, and permission for your intended use.
- Check maintenance signals. Look at releases, open issues, archived status, and whether the installation instructions match the files.
- Trace the installer. Read shell scripts, PowerShell scripts, package scripts, setup files, and anything they download or execute.
- Inspect dependencies. Read the manifest and lockfile. Look for unexpected packages, native binaries, setup scripts, and known advisories.
- Map writes and access. List the folders, network destinations, environment variables, browser access, and credentials the program expects.
- Restrict any test. Use a disposable environment without your account credentials or production files. Allow only the files and network access needed for the test. Review changes before bringing anything back.
Stars are a clue, not a security review
Source: OpenSSF Scorecard project and limitations
A popular repository can still have a compromised release, a risky dependency, or an install script that asks for more access than the job needs. A new repository can be useful even with few stars. Treat popularity as context, then inspect the actual version you plan to run.
OpenSSF Scorecard checks useful security signals such as maintained status, pinned dependencies, dangerous workflow patterns, a security policy, and known vulnerabilities. Its own documentation says the checks are heuristics with possible false positives and false negatives. Read the individual findings and their dates rather than treating one total score as a verdict.
Read package scripts before running npm install
Source: npm scripts documentation
A package can run lifecycle scripts during installation. That may be normal, such as compiling a native helper, but it means npm install is an action rather than a harmless file download. Inspect package.json and scripts named preinstall,install, postinstall, and prepare. Dependencies may also have setup scripts. A global install can run lifecycle scripts too.
Check whether the repository pins versions with a lockfile. A command that pulls whatever "latest" means today is harder to reproduce than a reviewed version. If the project downloads another executable during setup, inspect its source and any available checksum or signature. A checksum can identify the downloaded file. It does not establish that the file is harmless.
A license answers a different question from security
Source: GitHub's repository licensing guide
A license sets the terms for copying, modifying, or redistributing code. It does not prove the code is secure, and a security scan does not grant permission to use it. Public source without a license does not automatically give you permission to reuse it.
Check separate terms for bundled models, fonts, images, and other assets. The repository's code license may not cover them. This matters when choosing a dependency for a public website such as Access Free Tools.
The write locations matter as much as the code
A coding assistant can create project-memory files, change configuration, or install commands outside the project. Trace the destination for each write. Does setup create.claude/, replace AGENTS.md, or alter a shell startup file? Decide whether those changes belong in your project before accepting them.
A user-global directory is a destination, not a security boundary. Installing there can affect every project that loads that tool. An unchanged project folder also does not show whether a program read private files or sent data over the network.
Useful signals and reasons to inspect further
| Useful signal | Reason to stop and inspect |
|---|---|
| Clear owner, README, license, and release history | Copied instructions, unclear ownership, or an archived repository |
| Small, readable installer with exact destinations | Obfuscated commands, remote piping, or broad writes outside the expected folder |
| Pinned dependencies and a reviewed lockfile | Unexpected native binaries, floating versions, or unexplained post-install work |
| Documented permissions and a restricted test setup | The first command demands admin access, secrets, browser control, or a production token |
None of these signs works alone. The decision comes from the whole path: source, permission, execution, dependencies, access, and the damage a mistake could cause.
Example: a CLI that also downloads a helper
Imagine a package with postinstall set to node setup.js. Reading setup.js reveals 3 actions: download a helper executable, write it to a user-global folder, and update shell configuration. This is an illustrative example, not a test result for a particular project.
Before installing, check the helper's source and version, the exact write paths, and whether the shell change is necessary. If those answers are missing, stop. If you continue, use a disposable test environment with fake inputs and no shared home folder, saved browser login, production checkout, or real tokens. Restrict networking to what the test needs.
Source: Node.js Permission Model
Node's --permission flag can limit resource access for trusted code. Its documentation explicitly says it does not protect against malicious code. It is not a replacement for operating-system isolation when testing an unknown program. A disposable virtual machine still needs careful configuration. Shared folders and credentials can defeat the intended boundary.
Keep secrets out of the review report
Do not paste passwords, API keys, browser cookies, login codes, or private environment values into a report. If a tool needs a secret, record the variable name and the access it grants. Use fake credentials for inspection and testing whenever possible.
Record the exact version, checked files, test environment, observed writes and network requests, and anything not checked. A clean scan reports what that scan found. It cannot establish that every dependency and execution path is safe.
Use this checklist before the one-line command
Open the repository, confirm the owner, and read the license. Inspect the installer and package scripts, then check dependencies and releases. List write locations and permissions. Only then consider a test with restricted access. Treat --help, a dry run, and installation as code execution when they invoke the project's program.
For the dependencies already used on this site, theAccess Free Tools stack guideexplains their jobs and limits. Use the same questions when evaluating a new project, rather than treating an existing site's dependency choice as a security endorsement.
Sources
These primary project pages and official documentation support the technical explanations in this article.
Access Free Tools is owned by Brendan Chambers. This article was revised with AI-assisted research and editing. Technical explanations were checked against linked primary sources and the current project code where applicable.