gs:careful

gs:careful is a skill for Claude Code, Codex from thanh-abaii/gstack-windows-port. It costs 89 tokens per session (804 once invoked), scanned C, a copy of careful, MIT.

A safety check for commands that can delete data, rewrite history, or remove live resources.

In plain words
What is it for?
It checks commands such as recursive file deletion, database table removal, forced Git pushes, hard resets, and Kubernetes resource deletion, while allowing an explicit override.
Why use it?
It helps prevent accidental damage when working in production, live systems, or shared projects by warning before risky commands run.

Skill for Claude CodeCodex

Written for Claude Code and Codex: allowed-tools in frontmatter, but also agents/openai.yaml present. Also seen: built for gstack.

Good fit It checks commands such as recursive file deletion, database table removal, forced Git pushes, hard resets, and Kubernetes resource deletion, while allowing an explicit override.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/thanh-abaii/gstack-windows-port/gstack-careful
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add thanh-abaii/gstack-windows-port --skill gstack-careful
Clone the repo
git clone --depth 1 https://github.com/thanh-abaii/gstack-windows-port

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for gs:careful

README.md
[![agentmods](https://agentmods.dev/badge/skills/thanh-abaii/gstack-windows-port/gstack-careful.svg)](https://agentmods.dev/skills/thanh-abaii/gstack-windows-port/gstack-careful)
Your own site
<a href="https://agentmods.dev/skills/thanh-abaii/gstack-windows-port/gstack-careful"><img src="https://agentmods.dev/badge/skills/thanh-abaii/gstack-windows-port/gstack-careful.svg" alt="Measured on agentmods" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 804 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 84% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00089 $0.00804
Opus 5 $0.00044 $0.00402
Sonnet 5 $0.00018 $0.00161
Haiku 4.5 $0.00009 $0.00080

Measured 8d ago against content hash 8144ccae99ba, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade C, and why

gs:careful scanned grade C with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

Safety guardrails for destructive commands. Warns before rm -rf, DROP TABLE,
Origin

This is a copy

84% identical to careful — 26 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/gstack-careful/SKILL.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Preamble (run first)

python "bin/gstack-boot.py" --skill careful | iex

Safety Advisory: This skill includes safety checks that check bash commands for destructive operations (rm -rf, DROP TABLE, force-push, git reset --hard, etc.) before execution. When using this skill, always pause and verify before executing potentially destructive operations. If uncertain about a command's safety, ask the user for confirmation before proceeding.

/gs:careful — Destructive Command Guardrails

Safety mode is now active. Every bash command will be checked for destructive patterns before running. If a destructive command is detected, you'll be warned and can choose to proceed or cancel.

New-Item -ItemType Directory -Force ~/.gstack/analytics
echo '{"skill":"careful","ts":"'$(date -u +%Y-%m-%dT%H:%M:%SZ)'","repo":"'$(basename "$(git rev-parse --show-toplevel | Out-Null)" | Out-Null ; echo "unknown")'"}'  >> ~/.gstack/analytics/skill-usage.jsonl | Out-Null ; true

What's protected

Pattern Example Risk
rm -rf / rm -r / rm --recursive rm -rf /var/data Recursive delete
DROP TABLE / DROP DATABASE DROP TABLE users; Data loss
TRUNCATE TRUNCATE orders; Data loss
git push --force / -f git push -f origin main History rewrite
git reset --hard git reset --hard HEAD~3 Uncommitted work loss
git checkout . / git restore . git checkout . Uncommitted work loss
kubectl delete kubectl delete pod Production impact
docker rm -f / docker system prune docker system prune -a Container/image loss

Safe exceptions

These patterns are allowed without warning:

  • rm -rf node_modules / .next / dist / __pycache__ / .cache / build / .turbo / coverage

How it works

The hook reads the command from the tool input JSON, checks it against the patterns above, and returns permissionDecision: "ask" with a warning message if a match is found. You can always override the warning and proceed.

Read the full file on GitHub · 75 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 75 lines · 89 tokens per session scan C 8144ccae99ba

Subscribe to this mod's changes

gs:careful is a skill published in the GitHub repository thanh-abaii/gstack-windows-port (35 stars, last pushed 3mo ago), licensed MIT. It adds 89 tokens to every session and 804 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). It is 84% identical to careful, differing in 26 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens