Implementation Kickoff
openai/openai-guardrails-js
Start or resume a requested Guardrails implementation or PR takeover in the selected linked worktree with bounded scope and verification.
Secure AI coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox configurations for team environments.
$ npx skills add sickn33/agentic-awesome-skills --skill ai-coding-agent-guardrails -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills ai-coding-agent-guardrails --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-coding-agent-guardrails .claude/skills/ai-coding-agent-guardrails && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ai-coding-agent-guardrails" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ai-coding-agent-guardrails into .claude/skills/ai-coding-agent-guardrails/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-coding-agent-guardrails", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ai-coding-agent-guardrailsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sickn33/agentic-awesome-skills --skill ai-coding-agent-guardrails -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills ai-coding-agent-guardrails --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-coding-agent-guardrails .agents/skills/ai-coding-agent-guardrails && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-coding-agent-guardrails" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ai-coding-agent-guardrails into .agents/skills/ai-coding-agent-guardrails/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-coding-agent-guardrails", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill ai-coding-agent-guardrails -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills ai-coding-agent-guardrails --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-coding-agent-guardrails .cursor/skills/ai-coding-agent-guardrails && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ai-coding-agent-guardrails" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ai-coding-agent-guardrails into .cursor/skills/ai-coding-agent-guardrails/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-coding-agent-guardrails", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/ai-coding-agent-guardrails--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sickn33/agentic-awesome-skills --skill ai-coding-agent-guardrails -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills ai-coding-agent-guardrails --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-coding-agent-guardrails .gemini/skills/ai-coding-agent-guardrails && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ai-coding-agent-guardrails" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ai-coding-agent-guardrails into .gemini/skills/ai-coding-agent-guardrails/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-coding-agent-guardrails", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sickn33/agentic-awesome-skills ai-coding-agent-guardrailsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sickn33/agentic-awesome-skills --skill ai-coding-agent-guardrails -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-coding-agent-guardrails .github/skills/ai-coding-agent-guardrails && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ai-coding-agent-guardrails" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ai-coding-agent-guardrails into .github/skills/ai-coding-agent-guardrails/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-coding-agent-guardrails", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill ai-coding-agent-guardrails -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills ai-coding-agent-guardrails --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-coding-agent-guardrails .opencode/skills/ai-coding-agent-guardrails && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ai-coding-agent-guardrails" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ai-coding-agent-guardrails into .opencode/skills/ai-coding-agent-guardrails/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-coding-agent-guardrails", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
ai-coding-agent-guardrailsSecure AI coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox configurations for team environments.
AI Coding Agent Guardrails is an agent skill from sickn33/agentic-awesome-skills. Secure AI coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox configurations for team environments.
Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/details.md`). Compatibility notes: Requires the relevant security tooling (scanners, vault CLIs) and an authorized scope for any active assessment. Docs-only; helper scripts and templates not…
It sits in AI & LLM Engineering, covering LLM guardrails. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
Read from SKILL.md and the folder at commit 680176d. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
gitmakepython3dockerFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires the relevant security tooling (scanners, vault CLIs) and an authorized scope for any active assessment. Docs-only; helper scripts and templates not bundled.
From compatibility in the SKILL.md frontmatter.
AI Coding Agent Guardrails loads about 3.3k tokens when it runs, and up to ~8.5k if it reads all its reference files. Until then it costs about 52 tokens; SKILL.md has 317 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NEVER read or output contents of .env, .env.*, secrets.yaml, or any file matching *.pem, *.key- ".env*"facl -m u:${AGENT_USER}:--- "${REPO_DIR}/.env"Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from sickn33/agentic-awesome-skills at commit 680176d, republished under its MIT licence (© sickn33). 317 words, ~3,251 tokens.
.claude/skills/ai-coding-agent-guardrails/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Secure the use of AI coding agents across engineering teams. This skill covers permission boundaries, secret protection, sandbox isolation, code review gates, and audit trails for Claude Code, Cursor, Copilot, and Codex.
Create a CLAUDE.md at the repository root to restrict Claude Code behavior:
# CLAUDE.md
## Restrictions
- NEVER read or output contents of .env, .env.*, secrets.yaml, or any file matching *.pem, *.key
- NEVER execute `rm -rf`, `DROP TABLE`, `kubectl delete`, or `terraform destroy` commands
- NEVER push directly to main or master branches
- NEVER modify files in the infrastructure/, terraform/, or .github/workflows/ directories without explicit user approval
- NEVER install new dependencies without listing them first for review
- NEVER access or display API keys, tokens, passwords, or connection strings
## Allowed Operations
- Read and modify application source code in src/, lib/, and tests/
- Run test suites with `npm test`, `pytest`, `go test`
- Run linters with `eslint`, `ruff`, `golangci-lint`
- Create new branches with prefix `ai/` or `agent/`
- Create and modify files in docs/ directory
## Code Standards
- All new functions must include docstrings or JSDoc comments
- All new code must have corresponding unit tests
- Follow existing code style and patterns in the repository
- Maximum file length: 500 lines. Suggest splitting if exceeded.For agents that execute shell commands, define an explicit allowlist:
# .agent-permissions.yaml
agent_permissions:
allowed_commands:
- "npm test"
- "npm run lint"
- "npm run build"
- "pytest"
- "ruff check"
- "go test ./..."
- "git status"
- "git diff"
- "git log"
- "git checkout -b"
- "git add"
- "git commit"
- "ls"
- "cat"
- "head"
- "tail"
blocked_commands:
- "rm -rf"
- "curl"
- "wget"
- "ssh"
- "scp"
- "kubectl"
- "terraform"
- "aws"
- "gcloud"
- "az"
- "docker push"
- "npm publish"
blocked_paths:
- ".env*"
- "**/*.pem"
- "**/*.key"
- "**/secrets/**"
- "infrastructure/**"
- ".github/workflows/**"
allowed_paths:
- "src/**"
- "lib/**"
- "tests/**"
- "docs/**"
- "package.json"
- "pyproject.toml"Use filesystem permissions to enforce boundaries at the OS level:
#!/bin/bash
# setup-agent-workspace.sh
# Create a restricted workspace for agent execution
AGENT_USER="ai-agent"
REPO_DIR="/workspace/repo"
# Create agent user with limited permissions
useradd --system --shell /bin/bash --no-create-home "$AGENT_USER"
# Set ownership: developers own everything, agent gets read on most
chown -R root:developers "$REPO_DIR"
chmod -R 750 "$REPO_DIR"
# Grant agent write access only to safe directories
setfacl -R -m u:${AGENT_USER}:rwx "${REPO_DIR}/src"
setfacl -R -m u:${AGENT_USER}:rwx "${REPO_DIR}/tests"
setfacl -R -m u:${AGENT_USER}:rwx "${REPO_DIR}/docs"
# Deny agent access to sensitive files
setfacl -m u:${AGENT_USER}:--- "${REPO_DIR}/.env"
setfacl -R -m u:${AGENT_USER}:--- "${REPO_DIR}/infrastructure"
setfacl -R -m u:${AGENT_USER}:--- "${REPO_DIR}/.github/workflows"
echo "Agent workspace permissions configured."#!/bin/bash
# install-secret-scanning.sh
# Install git-secrets
git clone https://github.com/awslabs/git-secrets.git /tmp/git-secrets
cd /tmp/git-secrets && make install
# Initialize in repository
cd /path/to/repo
git secrets --install
# Register common secret patterns
git secrets --register-aws
# Add custom patterns for common credential formats
git secrets --add '-----BEGIN (RSA |EC |DSA )?PRIVATE KEY-----'
git secrets --add 'AKIA[0-9A-Z]{16}'
git secrets --add 'ghp_[a-zA-Z0-9]{36}'
git secrets --add 'sk-[a-zA-Z0-9]{48}'
git secrets --add 'xox[baprs]-[0-9a-zA-Z-]{10,}'
git secrets --add 'password\s*[:=]\s*["\x27][^\s]{8,}'
git secrets --add 'api[_-]?key\s*[:=]\s*["\x27][^\s]{8,}'
# Add allowed patterns (false positive exclusions)
git secrets --add --allowed 'EXAMPLE_KEY'
git secrets --add --allowed 'your-api-key-here'Scan agent-generated output before it reaches version control:
#!/usr/bin/env python3
"""scan_agent_output.py - Scan AI agent output for leaked secrets."""
import re
import sys
from pathlib import Path
SECRET_PATTERNS = [
(r'AKIA[0-9A-Z]{16}', 'AWS Access Key'),
(r'(?i)aws_secret_access_key\s*[:=]\s*\S+', 'AWS Secret Key'),
(r'ghp_[a-zA-Z0-9]{36}', 'GitHub Personal Access Token'),
(r'gho_[a-zA-Z0-9]{36}', 'GitHub OAuth Token'),
(r'sk-[a-zA-Z0-9]{48,}', 'OpenAI/Anthropic API Key'),
(r'xox[baprs]-[0-9a-zA-Z\-]{10,}', 'Slack Token'),
(r'-----BEGIN (RSA |EC |DSA )?PRIVATE KEY-----', 'Private Key'),
(r'(?i)(password|passwd|pwd)\s*[:=]\s*["\x27][^\s]{4,}', 'Hardcoded Password'),
(r'(?i)(api[_-]?key|apikey)\s*[:=]\s*["\x27][^\s]{8,}', 'API Key'),
(r'eyJ[a-zA-Z0-9_-]{10,}\.[a-zA-Z0-9_-]{10,}', 'JWT Token'),
(r'(?i)database_url\s*[:=]\s*\S+', 'Database Connection String'),
]
def scan_file(filepath: str) -> list[dict]:
findings = []
content = Path(filepath).read_text(errors="ignore")
for line_num, line in enumerate(content.splitlines(), 1):
for pattern, label in SECRET_PATTERNS:
if re.search(pattern, line):
findings.append({
"file": filepath,
"line": line_num,
"type": label,
"content": line.strip()[:120],
})
return findings
def main():
files = sys.argv[1:]
if not files:
print("Usage: scan_agent_output.py <file1> [file2] ...")
sys.exit(1)
all_findings = []
for f in files:
all_findings.extend(scan_file(f))
if all_findings:
print(f"BLOCKED: {len(all_findings)} potential secret(s) detected:\n")
for finding in all_findings:
print(f" [{finding['type']}] {finding['file']}:{finding['line']}")
print(f" {finding['content']}\n")
sys.exit(1)
print("OK: No secrets detected in agent output.")
sys.exit(0)
if __name__ == "__main__":
main()#!/bin/bash
# .git/hooks/pre-commit
# Block commits containing secrets from AI agents
STAGED_FILES=$(git diff --cached --name-only --diff-filter=ACM)
if [ -z "$STAGED_FILES" ]; then
exit 0
fi
echo "Scanning staged files for secrets..."
# Run git-secrets
git secrets --pre_commit_hook -- "$@"
GIT_SECRETS_EXIT=$?
# Run custom scanner on staged files
python3 .tools/scan_agent_output.py $STAGED_FILES
SCANNER_EXIT=$?
if [ $GIT_SECRETS_EXIT -ne 0 ] || [ $SCANNER_EXIT -ne 0 ]; then
echo ""
echo "COMMIT BLOCKED: Secrets detected in staged files."
echo "If this is a false positive, use: git commit"
exit 1
fi# Dockerfile.agent-sandbox
FROM ubuntu:24.04
RUN apt-get update && apt-get install -y \
git \
nodejs \
npm \
python3 \
python3-pip \
&& rm -rf /var/lib/apt/lists/*
# Create non-root agent user
RUN useradd -m -s /bin/bash agent && \
mkdir -p /workspace && \
chown agent:agent /workspace
# Drop capabilities
USER agent
WORKDIR /workspace
# No network by default - override at runtime if needed
# No access to Docker socket
# No access to host filesystem beyond mounted volume#!/bin/bash
# run-agent-sandbox.sh
# Launch an AI coding agent inside a locked-down container
REPO_DIR="$(pwd)"
CONTAINER_NAME="agent-sandbox-$$"
docker run \
--name "$CONTAINER_NAME" \
--rm \
--network none \
--read-only \
--tmpfs /tmp:size=512m \
--tmpfs /home/agent:size=256m \
--memory 4g \
--cpus 2 \
--pids-limit 256 \
--security-opt no-new-privileges:true \
--security-opt seccomp=seccomp-agent.json \
--cap-drop ALL \
--cap-add DAC_OVERRIDE \
-v "${REPO_DIR}/src:/workspace/src" \
-v "${REPO_DIR}/tests:/workspace/tests:rw" \
-v "${REPO_DIR}/docs:/workspace/docs:rw" \
-v "${REPO_DIR}/package.json:/workspace/package.json:ro" \
-e "NO_COLOR=1" \
agent-sandbox:latest \
"$@"{
"defaultAction": "SCMP_ACT_ERRNO",
"comment": "seccomp-agent.json - Restrictive profile for AI coding agents",
"syscalls": [
{
"names": [
"read", "write", "open", "close", "stat", "fstat", "lstat",
"poll", "lseek", "mmap", "mprotect", "munmap", "brk",
"access", "pipe", "select", "sched_yield", "mremap",
"dup", "dup2", "nanosleep", "getpid", "getuid", "getgid",
"geteuid", "getegid", "getppid", "getpgrp", "setsid",
"getgroups", "uname", "fcntl", "flock", "fsync",
"getcwd", "chdir", "readlink", "chmod", "mkdir",
"rmdir", "unlink", "rename", "symlink", "readlinkat",
"openat", "mkdirat", "newfstatat", "unlinkat", "renameat",
"faccessat", "pselect6", "ppoll", "set_robust_list",
"get_robust_list", "epoll_create1", "epoll_ctl", "epoll_wait",
"eventfd2", "pipe2", "dup3", "pread64", "pwrite64",
"futex", "clock_gettime", "clock_getres", "exit_group",
"wait4", "clone", "execve", "arch_prctl", "set_tid_address",
"exit", "getdents64", "rt_sigaction", "rt_sigprocmask",
"rt_sigreturn", "ioctl", "writev", "madvise", "getrandom"
],
"action": "SCMP_ACT_ALLOW"
},
{
"names": [
"socket", "connect", "bind", "listen", "accept",
"sendto", "recvfrom", "sendmsg", "recvmsg"
],
"action": "SCMP_ACT_ERRNO",
"comment": "Block all network syscalls"
},
{
"names": ["ptrace", "process_vm_readv", "process_vm_writev"],
"action": "SCMP_ACT_ERRNO",
"comment": "Block debugging and process inspection"
}
]
}Apply these guardrails when:
Signs you need tighter guardrails:
# Read-only first: inventory before any active step.
which <tool> && <tool> --help | head -n 20Adapted from BagelHole/DevOps-Security-Agent-Skills (MIT); frontmatter, When to Use/Limitations, and safety boundaries added for upstream compliance. Docs-only import: helper scripts and templates not bundled.
© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in skills/ai-coding-agent-guardrails of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit 680176d
We found 6 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
AI Coding Agent Guardrails next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AI Coding Agent Guardrails this skillsickn33/agentic-awesome-skills | 47k | 2 repos | ~3.3k | Automated safety check: Notes | MIT | |
| Implementation Kickoffopenai/openai-guardrails-js | 105 | — | ~1k | Automated safety check: Pass | MIT | |
| Manor Coding Guardrailsmanor-os/manor-ai | 162 | — | ~816 | Automated safety check: Pass | MIT | |
| Git Guardrails Claude Codefossasia/eventyay-interpretation | 1.6k | 12 repos | ~578 | Automated safety check: Pass | Apache-2.0 | |
| Git Guardrails Claude Codevinvcn/mattpocock-skills-zh-CN | 4.7k | — | ~461 | Automated safety check: Pass | MIT | |
| Aisafetyhotwuyoscar/AISafetyHot-Hub | 641 | — | ~1.4k | Automated safety check: Pass | Custom licence |
openai/openai-guardrails-js
Start or resume a requested Guardrails implementation or PR takeover in the selected linked worktree with bounded scope and verification.
manor-os/manor-ai
A skill your agent uses when writing, reviewing, or refactoring Manor code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
fossasia/eventyay-interpretation
Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute.
vinvcn/mattpocock-skills-zh-CN
设置 Claude Code hooks,在危险 git commands(push、reset --hard、clean、branch -D 等)执行前阻止它们。适用于用户想防止破坏性 git 操作、添加 git safety hooks,或在 Claude Code 中阻止 git push/reset 时。
wuyoscar/AISafetyHot-Hub
Query AI Safety HOT news, research papers, incidents, hot topics, and daily/weekly/monthly reports through its public read-only MCP service.
aws-samples/sample-well-architected-skills-and-steering
Generate preventive Well-Architected guardrails — AWS Config rules, Service Control Policies, permission boundaries, CloudWatch alarms, and IaC policy checks (CDK Aspects, cfn-guard, OPA/Sentinel) —…
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
sickn33/agentic-awesome-skills
Drafts and reviews audience-specific content from supplied brand examples, with local scripts for brand voice and SEO diagnostics, channel templates and a content calendar.
Categories
Secure AI coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox configurations for team environments. AI Coding Agent Guardrails is an agent skill from sickn33/agentic-awesome-skills. Secure AI coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox configurations for team environments.
AI Coding Agent Guardrails fits situations like: tasks that involve LLM guardrails.
Run `npx skills add sickn33/agentic-awesome-skills --skill ai-coding-agent-guardrails -a claude-code`. Or copy the skill folder (skills/ai-coding-agent-guardrails in sickn33/agentic-awesome-skills) into .claude/skills/ai-coding-agent-guardrails in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sickn33/agentic-awesome-skills --skill ai-coding-agent-guardrails -a codex`. Or copy the skill folder (skills/ai-coding-agent-guardrails in sickn33/agentic-awesome-skills) into .agents/skills/ai-coding-agent-guardrails in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill ai-coding-agent-guardrails -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-coding-agent-guardrails, .gemini/skills/ai-coding-agent-guardrails, .github/skills/ai-coding-agent-guardrails and .opencode/skills/ai-coding-agent-guardrails in your project.
Going by SKILL.md and its folder, AI Coding Agent Guardrails needs the command-line tools its instructions call (git, make, python3 and docker). Our summary lists: Python 3; Node.js; Docker; A credential in EXAMPLE_KEY. Compatibility (from SKILL.md): Requires the relevant security tooling (scanners, vault CLIs) and an authorized scope for any active assessment. Docs-only; helper scripts and templates not bundled..
SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
AI Coding Agent Guardrails is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with AI Coding Agent Guardrails: Implementation Kickoff (openai/openai-guardrails-js, 105 stars), Manor Coding Guardrails (manor-os/manor-ai, 162 stars), Git Guardrails Claude Code (fossasia/eventyay-interpretation, 1.6k stars) and Git Guardrails Claude Code (vinvcn/mattpocock-skills-zh-CN, 4.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,379 GitHub stars. The repository holds 1,493 skills in this directory. The repository was last updated on October 9, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.