J Liew
J Liew is an individual/solo developer and the creator of CC Safety Net, an open-source pre-execution guard for AI coding agents. The project analyzes tool calls before execution to block destructive Git/filesystem operations and access to recognized credential files, while keeping decisions and audit logs local.
At a Glance
- Individual developers using AI coding agents
- Software engineering teams and repositories that need shared agent-safety policy
- Developers and toolmakers building coding-agent plugins or custom harnesses
- Organizations using autonomous or semi-autonomous coding CLIs
- +1 more
AI Tools by J Liew
(1)
CC Safety Net
Pre-Execution Guard for AI Agents
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Latest News
Security documentation updated to disclose four host-integration limits found by the drift audit; a second update clarified public reporting of redaction gaps.
v2.6.10 released: added policy analysis for user-declared command tools and cc-safety-net rule tool add/remove/list commands for community shell tools.
v2.6.9 released: fixed PowerShell pipeline parsing and false denials for inline scripts that only print inert strings.
v2.6.8 released: added always-on disk-device destruction protection and expanded disk erase/repartition rules.
Products & Services
MIT-licensed open-source npm package and coding-agent integrations that run a static, pre-execution policy gate. It semantically analyzes supported shell/tool calls, blocks destructive Git and filesystem commands plus recognized secret-file access, supports local policy/rulebooks, provides a CLI and local GUI, and exposes a Node.js library API via the cc-safety-net/api subpath.
Market Position
CC Safety Net positions itself as a deterministic, application-level semantic interception layer rather than a sandbox, VM, container, checkpoint, or model-based approval classifier. Its differentiation is meaning-aware blocking of destructive Git/filesystem actions and recognized credential reads across one policy and audit trail for 16 coding CLIs. The project explicitly presents it as complementary to OS-level sandboxing: sandboxing provides broad filesystem/network containment, while CC Safety Net catches known destructive operations inside an allowed workspace; it does not claim to replace containment or network controls.
Leadership
Founders
J Liew
Independent developer using the GitHub identity kenryu42; the public GitHub profile lists Japan as location and identifies the account as J Liew. J Liew is the copyright holder and maintainer of CC Safety Net and publishes related developer-tool repositories under kenryu42.
Executive Team
J Liew
Creator and maintainer
Independent developer behind the kenryu42 GitHub account; based in Japan according to the public GitHub profile and author of the CC Safety Net repository, releases, documentation, and npm package.
Founding Story
CC Safety Net was created to add a deterministic safety layer in front of coding agents: rather than relying only on agent instructions, prompts, or approval classifiers, it inspects what a supported command would do and blocks destructive actions and recognized secret-file access before the tool call runs. The initial project was published as the kenryu42/cc-safety-net repository, created December 25, 2025.
Business Model
Revenue Model
Open-source, MIT-licensed developer software distributed through GitHub and the public npm registry. The public materials describe no paid plans, hosted service, account, telemetry, or subscription; the package runs locally and the maintainer states that no data is sold or shared.
Target Markets
- Individual developers using AI coding agents
- Software engineering teams and repositories that need shared agent-safety policy
- Developers and toolmakers building coding-agent plugins or custom harnesses
- Organizations using autonomous or semi-autonomous coding CLIs
- Infrastructure and DevOps users who want rulebook protections for AWS, Azure, gcloud, or Terraform commands
- Protecting developer worktrees from AI-agent commands that discard or overwrite uncommitted work
- Preventing coding agents from reading SSH keys, .env files, cloud credentials, and agent authentication files
- Adding deterministic pre-tool-call guardrails to autonomous or bypass-permission coding-agent sessions
- Standardizing safety policy across a development team or repository
- Embedding command checks into a custom AI agent, coding harness, plugin, or tool integration
- Adding destructive-operation protections for infrastructure CLIs through rulebooks