Antigravity Skill Vault is a collection of reusable Agent Skills for Google Antigravity, covering software development, operations, security, and business work. It is for people who want Antigravity agents to follow specialized expertise, personas, and structured workflows. The catalogue skills are entries from this collection.
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.
npx skills add rmyndharis/antigravity-skills --skill mtls-configurationgit clone --depth 1 https://github.com/rmyndharis/antigravity-skillsWrote 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.
[](https://agentmods.dev/skills/rmyndharis/antigravity-skills/mtls-configuration)<a href="https://agentmods.dev/skills/rmyndharis/antigravity-skills/mtls-configuration"><img src="https://agentmods.dev/badge/skills/rmyndharis/antigravity-skills/mtls-configuration/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/rmyndharis/antigravity-skills/mtls-configuration"><img src="https://agentmods.dev/badge/skills/rmyndharis/antigravity-skills/mtls-configuration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 268 Code deploys a privileged Kubernetes workload (privileged container, hostPath mount, or host namespaces). This grants root on the node and is a node/cluster takeover vector.Fix: Remove privileged, hostPath, and host-namespace settings from workloads. Use a least-privilege securityContext, drop capabilities, and avoid mounting the host filesystem.
- medium Excessive Agency · line 351 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00038 | $0.02255 |
| Opus 5.5 | $0.00015 | $0.00902 |
| Sonnet 5.5 | $0.00008 | $0.00451 |
| Haiku 4.5 | $0.00004 | $0.00226 |
Grade A, and why
mtls-configuration scanned grade A with 0 findings 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 1mo 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
4 near-identical copies found in the catalogue:
- mtls-configuration — 88% identical, 13 lines differ
- mtls-configuration — 88% identical, 21 lines differ
- mtls-configuration — 88% identical, 21 lines differ
- mtls-configuration — 88% identical, 25 lines differ
How it starts
The opening of the file, as written. The whole thing — 359 lines — stays where its author put it; the contents beside it link to each section on GitHub.
mTLS Configuration
Comprehensive guide to implementing mutual TLS for zero-trust service mesh communication.
Do not use this skill when
- The task is unrelated to mtls configuration
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
Use this skill when
- Implementing zero-trust networking
- Securing service-to-service communication
- Certificate rotation and management
- Debugging TLS handshake issues
- Compliance requirements (PCI-DSS, HIPAA)
- Multi-cluster secure communication
Core Concepts
1. mTLS Flow
┌─────────┐ ┌─────────┐
│ Service │ │ Service │
│ A │ │ B │
└────┬────┘ └────┬────┘
│ │
┌────┴────┐ TLS Handshake ┌────┴────┐
│ Proxy │◄───────────────────────────►│ Proxy │
│(Sidecar)│ 1. ClientHello │(Sidecar)│
│ │ 2. ServerHello + Cert │ │
│ │ 3. Client Cert │ │
│ │ 4. Verify Both Certs │ │
│ │ 5. Encrypted Channel │ │
└─────────┘ └─────────┘
2. Certificate Hierarchy
Root CA (Self-signed, long-lived)
│
├── Intermediate CA (Cluster-level)
│ │
│ ├── Workload Cert (Service A)
│ └── Workload Cert (Service B)
│
└── Intermediate CA (Multi-cluster)
│
└── Cross-cluster certs
Templates
Template 1: Istio mTLS (Strict Mode)
# Enable strict mTLS mesh-wide
apiVersion: security.istio.io/v1beta1
kind: PeerAuthentication
metadata:
name: default
namespace: istio-system
spec:
mtls:
mode: STRICT
---
# Namespace-level override (permissive for migration)
apiVersion: security.istio.io/v1beta1
kind: PeerAuthentication
metadata:
name: default
namespace: legacy-namespace
spec:
mtls:
mode: PERMISSIVE
---
# Workload-specific policy
apiVersion: security.istio.io/v1beta1
kind: PeerAuthentication
metadata:
name: payment-service
namespace: production
spec:
selector:
matchLabels:
app: payment-service
mtls:
mode: STRICT
portLevelMtls:
8080:
mode: STRICT
9090:
mode: DISABLE # Metrics port, no mTLS
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.
- 1mo ago First seen · 359 lines · 38 tokens per session scan A d0a7feb66f55
mtls-configuration is a skill published in the GitHub repository rmyndharis/antigravity-skills (1,850 stars, last pushed 11d ago), licensed MIT. It adds 38 tokens to every session and 2,255 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
analyzing-cloud-storage-access-patterns
Detect abnormal access patterns in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics. Identifies after-hours bulk downloads, access from new IP addresses, unusual API calls (GetObject spikes), and potential data exfiltration using statistical baselines…
analyzing-azure-activity-logs-for-threats
Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or…
apify-actorization
Actorization converts existing software into reusable serverless applications compatible with the Apify platform. Actors are programs packaged as Docker images that accept well-defined JSON input, perform an action, and optionally produce structured JSON output.
appdeploy
Deploy web apps with backend APIs, database, and file storage. Use when the user asks to deploy or publish a website or web app and wants a public URL. Uses HTTP API via curl.
agents-sdk
Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks. Biases towards retrieval from…
data-pipeline
Professional Data Pipeline Expert skill. Build robust, automated deployment pipelines and configure cloud infrastructure as code.