Dangling DNS Finder
anirudhbiyani/findmytakeover
Detect dangling DNS records and subdomain-takeover risks across a multi-cloud environment by running the bundled findmytakeover tool.
Designs, deploys, and secures Google Cloud Agent Gateway solutions.
$ npx skills add google/skills --skill google-cloud-solution-multi-agent-security -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install google/skills google-cloud-solution-multi-agent-security --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/google/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cloud/google-cloud-solution-multi-agent-security .claude/skills/google-cloud-solution-multi-agent-security && 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 "google-cloud-solution-multi-agent-security" agent skill from https://github.com/google/skills/tree/main/skills/cloud/google-cloud-solution-multi-agent-security into .claude/skills/google-cloud-solution-multi-agent-security/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-cloud-solution-multi-agent-security", 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/google/skills/tree/main/skills/cloud/google-cloud-solution-multi-agent-securityType 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 google/skills --skill google-cloud-solution-multi-agent-security -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install google/skills google-cloud-solution-multi-agent-security --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/cloud/google-cloud-solution-multi-agent-security .agents/skills/google-cloud-solution-multi-agent-security && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "google-cloud-solution-multi-agent-security" agent skill from https://github.com/google/skills/tree/main/skills/cloud/google-cloud-solution-multi-agent-security into .agents/skills/google-cloud-solution-multi-agent-security/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-cloud-solution-multi-agent-security", 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 google/skills --skill google-cloud-solution-multi-agent-security -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install google/skills google-cloud-solution-multi-agent-security --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/cloud/google-cloud-solution-multi-agent-security .cursor/skills/google-cloud-solution-multi-agent-security && 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 "google-cloud-solution-multi-agent-security" agent skill from https://github.com/google/skills/tree/main/skills/cloud/google-cloud-solution-multi-agent-security into .cursor/skills/google-cloud-solution-multi-agent-security/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-cloud-solution-multi-agent-security", 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/google/skills.git --path skills/cloud/google-cloud-solution-multi-agent-security--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 google/skills --skill google-cloud-solution-multi-agent-security -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install google/skills google-cloud-solution-multi-agent-security --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/cloud/google-cloud-solution-multi-agent-security .gemini/skills/google-cloud-solution-multi-agent-security && 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 "google-cloud-solution-multi-agent-security" agent skill from https://github.com/google/skills/tree/main/skills/cloud/google-cloud-solution-multi-agent-security into .gemini/skills/google-cloud-solution-multi-agent-security/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-cloud-solution-multi-agent-security", 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 google/skills google-cloud-solution-multi-agent-securityInstalls 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 google/skills --skill google-cloud-solution-multi-agent-security -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/cloud/google-cloud-solution-multi-agent-security .github/skills/google-cloud-solution-multi-agent-security && 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 "google-cloud-solution-multi-agent-security" agent skill from https://github.com/google/skills/tree/main/skills/cloud/google-cloud-solution-multi-agent-security into .github/skills/google-cloud-solution-multi-agent-security/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-cloud-solution-multi-agent-security", 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 google/skills --skill google-cloud-solution-multi-agent-security -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install google/skills google-cloud-solution-multi-agent-security --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/cloud/google-cloud-solution-multi-agent-security .opencode/skills/google-cloud-solution-multi-agent-security && 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 "google-cloud-solution-multi-agent-security" agent skill from https://github.com/google/skills/tree/main/skills/cloud/google-cloud-solution-multi-agent-security into .opencode/skills/google-cloud-solution-multi-agent-security/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-cloud-solution-multi-agent-security", 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.
google-cloud-solution-multi-agent-securityDesigns, deploys, and secures Google Cloud Agent Gateway solutions.
Google Cloud Solution Multi Agent Security is an agent skill from google/skills, published by the product's own GitHub organization. Designs, deploys, and secures Google Cloud Agent Gateway solutions. Use when the user needs to configure multi-agent security, ingress (CLIENTTOAGENT), or egress (AGENTTOANYWHERE) patterns involving Model Armor, IAP, and Agent Registry. Don't use for general Cloud Load Balancing or basic VPC setup not related to Agent Gateways.
Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 24 other files, including scripts and assets (for example `assets/agw-authz-extension.yaml`, `assets/agw-authz-policy.yaml` and `assets/agw-egress-config-run.yaml`).
It sits in DevOps & Cloud, covering Cloud networking and Multi-agent orchestration. It works with Google Cloud. The repository describes itself as: Agent Skills for Google products and technologies. The licence is Apache-2.0.
11 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 8a1ac05. 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.
Ships 6 files in scripts/ (Shell and Python, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
gcloudFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use gcloud, which can reach the network depending on how they are called.
From 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.
Google Cloud Solution Multi Agent Security loads about 3.7k tokens when it runs. Until then it costs about 94 tokens; SKILL.md has 1,189 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 found no risky patterns in SKILL.md.
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); the scripts in this folder are not scanned.
The full file from google/skills at commit 8a1ac05, republished under its Apache-2.0 licence (© google). 1,189 words, ~3,695 tokens.
.claude/skills/google-cloud-solution-multi-agent-security/SKILL.md (or your agent's skills folder). This skill also uses 22 other files; get the full folder from GitHub.gcloud beta network-services agent-gateways). Omitting
these prefixes causes commands to fail because Agent Gateway features are
located in specialized, non-default namespaces.modelarmor.googleapis.com in the API
enablement list when setting up guardrails. Excluding it prevents Model
Armor policies and filters from successfully attaching to the Gateway.curl. Egress gateways rely on runtime SDK lifecycle handling and JWT
context that a standard curl command cannot simulate correctly.model-armor-config.yaml, always include both
piAndJailbreakFilterSettings and sdpFilterSettings (filterEnforcement: ENFORCE). Invalid or missing filters cause deployment validation failures
or lead to silent bypasses of the guardrails.private_ip_google_access = true enabled in Terraform. Disabling this blocks connectivity to
Google-managed endpoints, causing total routing failures for agents.gcloud, kubectl, terraform, or curl)
against real cloud resources during design. You are generating plan
configurations, not executing them.[!IMPORTANT] Just-In-Time (JIT) Resource Loading Protocol: Inspect template files in assets/ and executable scripts in scripts/ using
view_fileas needed for extended configurations, deployment scripts, and test suites.
Always generate files with these exact names when requested:
agw-ingress-config.yaml
(assets/agw-ingress-config.yaml)agw-egress-config.yaml
(assets/agw-egress-config.yaml)agw-authz-extension.yaml
(assets/agw-authz-extension.yaml)agw-authz-policy.yaml
(assets/agw-authz-policy.yaml)model-armor-config.yaml
(assets/model-armor-config.yaml)sgp-policy.yaml (assets/sgp-policy.yaml)iap-policy.json (assets/iap-policy.json)model-armor-payload.json
(assets/model-armor-payload.json)dual_ingress_egress_architecture_design)Ingress Pattern: CLIENT_TO_AGENT fronted by Ingress Control Plane
(Agent Gateway, Model Armor).
Egress Pattern: AGENT_TO_ANYWHERE utilizing Egress Control Plane
(Agent Gateway, roles/iap.egressor CEL policies, Cloud DNS) and Egress
Data Plane (PSC Interface, Cloud Run, PSC Google APIs Global Endpoint),
coordinated via Agent Registry & Agent Engine runtime.
Mermaid Diagram:
graph TD
Client["External Clients"] -->|HTTPS / MCP| GLB["Global Load Balancer"]
GLB --> Ingress["Ingress Agent Gateway (CLIENT_TO_AGENT)"]
Ingress --> MA["Model Armor (CONTENT_AUTHZ)"]
MA --> Agent["Agent Engine Agents (BillingAgent, SupportAgent, FraudAgent)"]
Agent --> Egress["Egress Agent Gateway (AGENT_TO_ANYWHERE)"]
Egress --> PSC["Private Service Connect Network Attachment"]
PSC --> Tools["Private MCP Tool Backends"]ingress_and_egress_guardrail_policy_config)When requested for Ingress & Egress guardrail policy configs, you MUST generate and create all required files in the workspace:
agw-ingress-config.yaml
(assets/agw-ingress-config.yaml): Declares
governedAccessPath: CLIENT_TO_AGENT with protocols HTTP and MCP.agw-egress-config.yaml
(assets/agw-egress-config.yaml): Declares
governedAccessPath: AGENT_TO_ANYWHERE with protocol MCP.agw-authz-extension.yaml
(assets/agw-authz-extension.yaml):
Configures AuthzExtension service for IAP authorization.agw-authz-policy.yaml
(assets/agw-authz-policy.yaml): Configures
AuthzPolicy action ALLOW targeting both Ingress and Egress gateways.iap-policy.json (assets/iap-policy.json): Binds
roles/iap.egressor with CEL condition checking
iap.googleapis.com/mcp.toolName == 'get_account_balance' && iap.googleapis.com/mcp.tool.isReadOnly == true.model-armor-config.yaml
(assets/model-armor-config.yaml): Enables
piAndJailbreakFilterSettings and sdpFilterSettings with
filterEnforcement: ENFORCE.sgp-policy.yaml (assets/sgp-policy.yaml):
Implements Natural Language Constraints blocking transactions > $1000 and
sanitizing PII.ingress_and_egress_infrastructure_deployment)Inspect and provide the step-by-step gcloud CLI commands from
scripts/deploy_infrastructure.sh:
compute, networkservices, networksecurity,
modelarmor, iap, agentregistry, serviceextensions, and aiplatform.agw-ingress-config.yaml) and Egress
(agw-egress-config.yaml) via gcloud alpha network-services agent-gateways import.agw-authz-extension.yaml via gcloud beta service-extensions authz-extensions import.agw-authz-policy.yaml via gcloud beta network-security authz-policies import.ingress_and_egress_security_validation)When validating security for Ingress and Egress:
tools/call requests (get_account_balance) through the
Egress Gateway to verify HTTP 200 for allowed tools.model-armor-payload.json
(assets/model-armor-payload.json)
containing prompt injection/jailbreak instructions.troubleshooting_ingress_and_egress_failures)Ingress 403 (Client-to-Agent):
roles/iap.httpsResourceAccessor permission.Authorization: Bearer <TOKEN> header.Egress 403 (Agent-to-Anywhere):
roles/iap.egressor IAM bindings on the Agent
Identity, malformed principal ID, or mismatched CEL condition on tool
metadata.gcloud command from
scripts/fix_egress_iap.sh.hybrid_vpn_connectivity_egress_routing)private_ip_google_access = true), PSC network attachment, Cloud DNS
private forwarding for aws.internal., and HA VPN gateway/router.agw-egress-config.yaml): Generate configuration
declaring governedAccessPath: AGENT_TO_ANYWHERE, pointing to the PSC
network attachment, and referencing aws.internal. in dnsPeeringConfig
(see assets/agw-egress-config.yaml).agent_to_anywhere_config referencing
the Egress Gateway, enabling telemetry, and deploying HybridAgent using
types.IdentityType.AGENT_IDENTITY.private_egress_gke_internal_load_balancer)10.0.1.50, connecting via Agent Gateway PSC Interface + Cloud
DNS Private zone.10.0.1.50.governance_controls_model_armor_sgp)When configuring dual safety layers with Model Armor on Ingress and SGP on Egress:
model-armor-config.yaml
(assets/model-armor-config.yaml) with
piAndJailbreakFilterSettings and sdpFilterSettings (filterEnforcement: ENFORCE).sgp-policy.yaml
(assets/sgp-policy.yaml) with Natural Language
Constraints blocking transactions > $1000 and sanitizing PII.authzExtensions with sgpEnforcementMode set to ENFORCE.multi_agent_cloud_run_egress_routing)Do NOT produce a plan artifact or stop at planning. When configuring multi-agent Cloud Run egress routing, you MUST directly provide and generate ALL required components:
agw-egress-config-run.yaml): Generate
configuration declaring governedAccessPath: AGENT_TO_ANYWHERE, PSC network
attachment, and DNS peering for *.run.app (see
assets/agw-egress-config-run.yaml).marketing-tool-service,
sales-tool-service, support-tool-service) in the us-east4 Agent
Registry.iap-policy.json (Multi-Agent): Generate iap-policy.json
(assets/iap-policy-multi-agent.json)
containing all 3 principal:// bindings in the members list under
roles/iap.egressor.advanced_model_armor_filtering)For custom keyword matching, configure userDefinedFilterSettings (see
assets/model-armor-advanced.yaml).
known_traps_and_gotchas)network_attachment is ForceNew: Enabling Semantic Governance
Policies (SGP) or modifying network attachments after the initial Terraform
apply will force-recreate the gateway resource. If not managed carefully,
this can cause dependency deadlocks during destroy operations. Plan
infrastructure sequencing accordingly.© google, Apache-2.0. 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 22 other files (scripts, assets) in skills/cloud/google-cloud-solution-multi-agent-security of google/skills.
Open the folder on GitHubat commit 8a1ac05
Google Cloud Solution Multi Agent Security 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 |
|---|---|---|---|---|---|---|
| Google Cloud Solution Multi Agent Security this skillgoogle/skills | 21k | — | ~3.7k | Automated safety check: Pass | Apache-2.0 | |
| Dangling DNS Finderanirudhbiyani/findmytakeover | 180 | — | ~1.8k | Automated safety check: Pass | GPL-3.0 | |
| Intrinsic Core Conceptsintrinsic-ai/intrinsic-core | 552 | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| GCP Networkingsickn33/agentic-awesome-skills | 47k | 2 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Implementing GCP Vpc Firewall Rulesmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~3k | Automated safety check: Pass | Apache-2.0 | |
| GCP Cloud Loggingautomateyournetwork/netclaw | 674 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 |
anirudhbiyani/findmytakeover
Detect dangling DNS records and subdomain-takeover risks across a multi-cloud environment by running the bundled findmytakeover tool.
intrinsic-ai/intrinsic-core
Intrinsic Core zero-cloud architecture, core primitives (Assets, Services, Skills, Solutions, ICON), CLI inspection commands, and workspace search rules.
sickn33/agentic-awesome-skills
Configure VPCs, firewall rules, and Cloud NAT. An agent skill from sickn33/agentic-awesome-skills.
mukul975/Anthropic-Cybersecurity-Skills
Implements and audits GCP VPC firewall rules using gcloud, covering auditing overly permissive rules, creating restrictive ingress/egress rules, hierarchical firewall policies, and monitoring rule…
automateyournetwork/netclaw
Google Cloud Logging — log search, VPC flow logs, firewall logs, audit logs, log buckets and views.
LeoYeAI/openclaw-master-skills
GCP VPC Network audit covering global VPC design, firewall rule priority evaluation with hierarchical policies, Cloud NAT egress analysis, Cloud Interconnect and Shared VPC connectivity, Cloud…
google/skills
Manages Google Cloud Privileged Access Manager entitlements and grants: create and edit entitlements, request temporary access, and approve or deny pending grants.
google/skills
Writes Terraform alerting policies for AI agents that emit OpenTelemetry metrics, covering reliability, cost, safety, security and quality signals on Google Cloud.
google/skills
Deploys open models or custom weights from Model Garden to Agent Platform endpoints, checks deployment status and cleans up endpoints, confirming before any change.
google/skills
Searches, manages and scaffolds skills in the Gemini Enterprise Agent Platform Skill Registry using bundled Python scripts and Google Cloud credentials.
google/skills
Designs GCP infrastructure as local Terraform, validates and scans it against best practices, then imports it to Application Design Center for deployment and troubleshooting.
google/skills
Analyzes BigQuery slot use, query costs and execution bottlenecks from INFORMATION_SCHEMA to diagnose slow queries, slot contention and unpartitioned scans.
Works with
Categories
Designs, deploys, and secures Google Cloud Agent Gateway solutions. Google Cloud Solution Multi Agent Security is an agent skill from google/skills, published by the product's own GitHub organization. Designs, deploys, and secures Google Cloud Agent Gateway solutions.
Google Cloud Solution Multi Agent Security fits situations like: the user needs to configure multi-agent security; ingress (CLIENTTOAGENT); egress (AGENTTOANYWHERE) patterns involving Model Armor; general Cloud Load Balancing.
Run `npx skills add google/skills --skill google-cloud-solution-multi-agent-security -a claude-code`. Or copy the skill folder (skills/cloud/google-cloud-solution-multi-agent-security in google/skills) into .claude/skills/google-cloud-solution-multi-agent-security in your project. Claude Code loads it when a task matches its description.
Run `npx skills add google/skills --skill google-cloud-solution-multi-agent-security -a codex`. Or copy the skill folder (skills/cloud/google-cloud-solution-multi-agent-security in google/skills) into .agents/skills/google-cloud-solution-multi-agent-security 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 google/skills --skill google-cloud-solution-multi-agent-security -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/google-cloud-solution-multi-agent-security, .gemini/skills/google-cloud-solution-multi-agent-security, .github/skills/google-cloud-solution-multi-agent-security and .opencode/skills/google-cloud-solution-multi-agent-security in your project.
Going by SKILL.md and its folder, Google Cloud Solution Multi Agent Security needs a shell and Python for the scripts in its folder and the command-line tools its instructions call (gcloud). Our summary lists: Python 3; A Bash shell.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Google Cloud Solution Multi Agent Security is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.7k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Google Cloud Solution Multi Agent Security: Dangling DNS Finder (anirudhbiyani/findmytakeover, 180 stars), Intrinsic Core Concepts (intrinsic-ai/intrinsic-core, 552 stars), GCP Networking (sickn33/agentic-awesome-skills, 47k stars) and Implementing GCP Vpc Firewall Rules (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
google (a GitHub organization, an official publisher) maintains it in google/skills, which has 20,994 GitHub stars. The repository holds 145 skills in this directory. The repository was last updated on October 6, 2026.
Source: google/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.