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 incident-response-incident-responsegit 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/incident-response-incident-response)<a href="https://agentmods.dev/skills/rmyndharis/antigravity-skills/incident-response-incident-response"><img src="https://agentmods.dev/badge/skills/rmyndharis/antigravity-skills/incident-response-incident-response/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/incident-response-incident-response"><img src="https://agentmods.dev/badge/skills/rmyndharis/antigravity-skills/incident-response-incident-response.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Memory Poisoning · line 162 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
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 | $0.00014 | $0.02267 |
| Opus 5 | $0.00007 | $0.01133 |
| Sonnet 5 | $0.00003 | $0.00453 |
| Haiku 4.5 | $0.00001 | $0.00227 |
Grade A, and why
incident-response-incident-response 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use this skill when
- Working on incident response incident response tasks or workflows
- Needing guidance, best practices, or checklists for incident response incident response
Do not use this skill when
- The task is unrelated to incident response incident response
- 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.
Orchestrate multi-agent incident response with modern SRE practices for rapid resolution and learning:
[Extended thinking: This workflow implements a comprehensive incident command system (ICS) following modern SRE principles. Multiple specialized agents collaborate through defined phases: detection/triage, investigation/mitigation, communication/coordination, and resolution/postmortem. The workflow emphasizes speed without sacrificing accuracy, maintains clear communication channels, and ensures every incident becomes a learning opportunity through blameless postmortems and systematic improvements.]
Configuration
Severity Levels
- P0/SEV-1: Complete outage, security breach, data loss - immediate all-hands response
- P1/SEV-2: Major degradation, significant user impact - rapid response required
- P2/SEV-3: Minor degradation, limited impact - standard response
- P3/SEV-4: Cosmetic issues, no user impact - scheduled resolution
Incident Types
- Performance degradation
- Service outage
- Security incident
- Data integrity issue
- Infrastructure failure
- Third-party service disruption
Phase 1: Detection & Triage
1. Incident Detection and Classification
- Use Task tool with subagent_type="incident-responder"
- Prompt: "URGENT: Detect and classify incident: $ARGUMENTS. Analyze alerts from PagerDuty/Opsgenie/monitoring. Determine: 1) Incident severity (P0-P3), 2) Affected services and dependencies, 3) User impact and business risk, 4) Initial incident command structure needed. Check error budgets and SLO violations."
- Output: Severity classification, impact assessment, incident command assignments, SLO status
- Context: Initial alerts, monitoring dashboards, recent 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.
- 9d ago First seen · 168 lines · 14 tokens per session scan A 10ed02e69221
incident-response-incident-response is a skill published in the GitHub repository rmyndharis/antigravity-skills (1,529 stars, last pushed 1mo ago), licensed MIT. It adds 14 tokens to every session and 2,267 once invoked, about $0.0001 per session on Opus 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.
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