Prompt injection scanner for Claude Code hooks. Scans tool inputs and outputs for injection attacks, secrets, and data exfiltration attempts. In early development when it was listed.
Honeycomb's OpenTelemetry-native observability platform: a high-cardinality event store ideal for tracing LLM pipelines and debugging slow agent traces.
Claude outputs American spellings by default, which can have an impact on: professional credibility, compliance, documentation, and more. Britfix converts to British English, with a Claude Code hook for automatic conversion as files are written. Context-aware: handles code files intelligently by only converting comments and docstrings, never identifiers or string literals.
Baserun captures LLM traces via a lightweight decorator-based SDK and provides a dashboard for debugging prompt chains, testing variants, and measuring quality.
CLI that detects dead `.claude/rules/` files by checking if `paths:` globs actually match files in your repo. Catches silent rule failures where renamed directories or typos in glob patterns cause rules to never apply. Features CI mode (exit 1 on dead rules), JSON output, and verbose mode showing matched files.
Use to run many agents in parallel as a visible grid of terminal panes: create an NxM layout, name and monitor panes, broadcast or target prompts, and save/restore whole company configurations.
Armory: a ranked catalog of 64,000+ open-source agent-harness components with a CLI (`armory search|install|init|rank`), an MCP server and a REST API; every row carries one 0–100 score from public signals.
Use to scaffold a complete agent-native harness: the CLAUDE.md, rules, skills, hooks, sub-agents, and memory layout, so a new project starts with the full discipline stack instead of an empty repo.
Use to orchestrate a swarm of sub-agents under a CEO pattern when one agent isn't enough but a full visible grid is overkill: break a mission into roles, dispatch them, and coordinate via signal files.
Use to track and cap what an agent run costs: meter token/compute spend, set budgets, and surface cost as a first-class signal so an autonomous agent doesn't quietly burn through its limit.
Use to apply deterministic, zero-LLM code transforms: fast, repeatable edits that don't need a model, so an agent offloads mechanical changes to a cheap tool instead of spending tokens reasoning through them.
Use to author, test, and share agent skills from the command line: scaffold a SKILL.md, validate its structure, and package it for reuse, turning a one-off procedure into a portable capability.
Automatically loads AGENTS.md configuration file content at session start to ensure Claude Code follows project-specific agent behavior. Only loads if AGENTS.md exists, otherwise passes empty context. Supports the universal AGENTS.md standard for cross-platform AI assistant compatibility.
AI-powered bash command security guard. Before any Bash command runs, a lightweight Claude subagent evaluates it for destructive or irreversible patterns — recursive deletes, force pushes to protected branches, database drops, and credential exposure — and blocks execution with a clear explanation if flagged. Uses PreToolUse with type:agent, which is the only hook pattern that can block tool execution via AI reasoning.
Create automatic backup of files before any Edit operation for safety. This hook creates a timestamped backup copy (filename.backup.timestamp) of any existing file before Claude modifies it. Provides a safety net to recover previous versions if needed. Only backs up existing files, includes error suppression to handle edge cases gracefully.