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npm is a package manager for the JavaScript programming language maintained by npm, Inc., a subsidiary of GitHub. npm is the default package manager for the JavaScript runtime environment Node.js and is included as a recommended feature in the Node.js installer. It consists of a command line client, also called npm, and an online database of public and paid-for private packages, called the npm registry. The registry is accessed via the client, and the available packages can be browsed and search

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One-scan repo context generation with codebase-md

Codebase-md scans your repo and auto-generates consistent AI coding context files for popular tools, reducing manual drift and improving prompt quality across teams. The tool inspects languages, frameworks, architecture, dependencies, and git history, then emits formats like CLAUDE.md and .cursorrules from a single source model ([DEV Community](https://dev.to/saurav_anand_75e32e8d0c76/i-built-a-tool-that-generates-ai-coding-context-for-every-tool-from-one-scan-ie0), [Forem mirror](https://forem.com/saurav_anand_75e32e8d0c76/i-built-a-tool-that-generates-ai-coding-context-for-every-tool-from-one-scan-ie0)). It uses tree-sitter ASTs to infer conventions and parses package manifests to flag version freshness and potential breaking changes. Smart context routing chunks your project into 12 topics and ranks results via TF-IDF to answer targeted queries like “database models,” ready to feed into any LLM. A plugin-style generator layer and 300+ tests suggest it’s designed for extension and CI use. Usage is simple: pip install, scan the repo, then generate formats in one go. This helps standardize AI assistant inputs across Claude Code, Cursor, Windsurf, multi-agent setups, and more without hand-maintaining multiple files.

calendar_today 2026-03-06
codebase-md claude-code cursor windsurf codex-cli

Prompt injection poisons GitHub Actions cache and exfiltrates secrets in Cline incident

A prompt injection in Cline’s AI-powered GitHub issue triage poisoned shared caches and leaked release secrets, underscoring the need for CI/CD-grade LLM security controls. In the Cline case, an attacker embedded commands in an issue title to trick an AI triager running Claude Code with broad tool access, leading to a malicious npm install and cache poisoning; shared cache keys let a nightly release workflow load the tainted node_modules and leak NPM publish secrets, resulting in a compromised 2.3.0 release later retracted ([details](https://simonwillison.net/2026/Mar/6/clinejection/#atom-everything)). This chain shows how untrusted inputs to agents, write-enabled tools, and shared caches create a supply-chain blast radius. OWASP’s LLM Top 10 and Agentic Top 10 map the exact risks involved—prompt injection, sensitive info disclosure, supply chain, excessive agency, and more—and a practical 12-step guide offers code-level mitigations like input sanitization, output guarding, least privilege, and rate/consumption controls ([best practices](https://dev.to/jaipalsingh/enterprise-ai-security-12-best-practices-for-deploying-llms-in-production-525j)). Apply CI/CD hygiene too: remove write/exec tools from triage jobs, isolate caches and runners, and keep secrets out of any agent-exposed context.

calendar_today 2026-03-06
anthropic claude-code github github-actions npm