-- List all tables in the current database (all schemas)
SELECT schemaname, tablename
FROM pg_catalog.pg_tables
WHERE schemaname NOT IN ('pg_catalog', 'information_schema')
ORDER BY schemaname, tablename;
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
| name | terraform-iam-audit |
|---|---|
| description | Analyse Terraform code in a given path (or CWD) and output the exact minimum AWS IAM permissions an IAM user needs to run terraform apply and terraform destroy against that project. Grouped by resource type, no wildcards. Invoke with /terraform-iam-audit [optional-path], or when user asks "what IAM permissions does this Terraform need", "what AWS permissions are required to deploy this", "list permissions for this terraform project". |
| tools | Bash, Read, Glob, WebFetch |
| version | 2.0.0 |
Scan Terraform source files and emit a precise, grouped list of AWS IAM actions required to deploy and destroy the infrastructure. No wildcards. No over-permissioning. Every action must be justified by an actual Terraform resource or data source in the code, verified against the live AWS Service Authorization Reference.
A command-line tool for common AWS S3 operations: upload files, list objects, delete individual objects, and empty an entire S3 prefix.
- Python >= 3.11
- uv package manager
- AWS IAM credentials with S3 read/write access
Onboards a developer with Claude Code on AWS Bedrock, creating per-developer Application Inference Profiles for cost tracking.
- Ubuntu/Linux or macOS (Bash 4+ required on macOS — install via
brew install bash) - AWS CLI v2 installed and configured with a
devprofile - Bedrock Anthropic model access enabled in at least one AWS region
- Administrator access to install global npm packages
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #!/bin/bash | |
| ############################################################################### | |
| # Vagrant VMware Repair Script | |
| # | |
| # Purpose: Fix "Directory not empty" and disk access errors when a computer | |
| # restarts while Vagrant is running or the VM crashes unexpectedly. | |
| # | |
| # Usage: | |
| # bash vagrant-vmware-repair.sh <vm-name> # Interactive mode (recommended) |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #!/usr/bin/env bash | |
| # ============================================================================= | |
| # fetch_aws_mfa_creds.sh | |
| # Fetches temporary AWS session credentials using an MFA token and stores | |
| # them under a dedicated [mfa] profile in ~/.aws/credentials. | |
| # | |
| # Usage: | |
| # ./fetch_aws_mfa_creds.sh <6-digit MFA token> | |
| # | |
| # Prerequisites: |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #!/bin/bash | |
| CYAN='\033[0;36m' | |
| GREEN='\033[0;32m' | |
| YELLOW='\033[1;33m' | |
| RED='\033[0;31m' | |
| BOLD='\033[1m' | |
| NC='\033[0m' | |
| # Use $HOME by default, or override with CLEANUP_HOME env var |
This script converts a CSV file containing event details into an ICS file that can be imported into Google Calendar (and other calendar applications).
- Prepare your CSV file:
The CSV file should have the following columns (case-insensitive):
start date(Format:YYYY-MM-DD HH:MMorYYYY-MM-DDfor all-day)
end date(Format:YYYY-MM-DD HH:MMorYYYY-MM-DD)
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import json | |
| # Path to your HAR file | |
| har_file = "example.har" | |
| # Load HAR file | |
| with open(har_file, "r", encoding="utf-8") as f: | |
| har_data = json.load(f) | |
| # HAR files store entries under log.entries |
NewerOlder