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https://github.com/slauth-io/slauth-cli

CLI that scans directories for Cloud Provider SDK usage generates the IAM Policies/Permissions needed
https://github.com/slauth-io/slauth-cli

aws cli gcp iam llm openai permissions policies

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CLI that scans directories for Cloud Provider SDK usage generates the IAM Policies/Permissions needed

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CLI that scans repositories and generates the necessary IAM Permissions for the service to run.


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## Installation

```bash
npm install -g @slauth.io/slauth
```

## Usage

1. Set the `OPENAI_API_KEY` environment variable: `export OPENAI_API_KEY=`
2. Run `slauth --help` to see available commands

### Commands

#### Scan

The scan command will look for any calls of your Cloud Provider `sdk` in your git repository and generate the necessary permissions for it.

```bash
slauth scan -p aws ../path/to/my/repository
```

> Note: By default the `scan` command will print the result to `stdout`. Use `-o,--output-file` option to specify a file to output to.

**Result:**

The result of the scan command is an array of IAM Permissions.

> Note: For `aws` cloud provider, if the resource is not explicit in the code (e.g. comes from a variable), we use a placholder for it. Before deploying the policies, you will have to **manually** change these placeholders with the correct resources the service will try to interact with.

```bash
Detected Policies:

[
{
"Version": "2012-10-17",
"Id": "S3Policy",
"Statement": [
{
"Sid": "S3Permissions",
"Effect": "Allow",
"Action": [
"s3:PutObject",
"s3:GetBucketAcl"
],
"Resource": [
"",
"",
"arn:aws:s3:::my_bucket_2/*"
]
}
]
},
{
"Version": "2012-10-17",
"Id": "DynamoDBPolicy",
"Statement": [
{
"Sid": "DynamoDBPermissions",
"Effect": "Allow",
"Action": [
"dynamodb:PutItem"
],
"Resource": [
""
]
}
]
},
{
"Version": "2012-10-17",
"Id": "SQSPolicy",
"Statement": [
{
"Sid": "SQSPermissions",
"Effect": "Allow",
"Action": [
"sqs:SendMessage"
],
"Resource": [
""
]
}
]
}
]
```

##### Available options

- `-p, --cloud-provider ` select the cloud provider you would like to generate policies for (choices: "aws", "gcp")
- `-m, --openai-model ` select the openai model to use (choices: "gpt-3.5-turbo-16k", "gpt-4-32k")
- `-o, --output-file ` write generated policies to a file instead of stdout

#### Selecting which OpenAI Model to use

By default `slauth` will use `gpt-4-32k` as it provides the best results. You can still choose to use other models to scan you repo, specially if cost is a concern:

To choose a different model, use the `-m` option of the `scan` command

```bash
slauth scan -p aws -m gpt-3.5-turbo-16k ./path/to/my/repository
```

Available models:

- `gpt-3.5-turbo-16k` (results with this model might be incomplete)
- `gpt-4-32k` (default)

#### Example repos to test with

In case you want to give the CLI a quick test you can fork the following repositories.

- aws-sdk:
- google-cloud sdk:

### Running in CI/CD

Slauth being a CLI, it can be easily integrated in your CI/CD pipelines.

#### Github Action Example

In this GitHub action workflow we install Slauth, run it and then output the result to an artifact which can then be downloaded so it can be used in your IaC.

```yaml
name: scan
on:
push:

permissions:
contents: read

jobs:
release:
name: policy-scan
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v3
with:
fetch-depth: 0
- name: Setup Node.js
uses: actions/setup-node@v3
with:
node-version: 'lts/*'
- name: Install Slauth
run: npm install -g @slauth.io/slauth
- name: Run Slauth
env:
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
run: slauth scan -p aws -o ./policies.json .
- name: Upload Artifact
uses: actions/upload-artifact@v3
with:
name: policies
path: policies.json
```

## Development

1. Set your `OPENAI_API_KEY` in the `.env` file at the root of the project
2. Run `npm i`
3. Install the `slauth` CLI globally: `npm install -g .`
4. Compile tsc on file change: `npm run build-watch`
5. Test it, `slauth -h` should work