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 error-diagnostics-error-tracegit 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/error-diagnostics-error-trace)<a href="https://agentmods.dev/skills/rmyndharis/antigravity-skills/error-diagnostics-error-trace"><img src="https://agentmods.dev/badge/skills/rmyndharis/antigravity-skills/error-diagnostics-error-trace.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00037 | $0.00388 |
| Opus 5 | $0.00018 | $0.00194 |
| Sonnet 5 | $0.00007 | $0.00078 |
| Haiku 4.5 | $0.00004 | $0.00039 |
Grade A, and why
error-diagnostics-error-trace 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 4d 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
1 near-identical copy found in the catalogue:
- error-diagnostics-error-trace — 89% identical, 13 lines differ
What it actually says
Error Tracking and Monitoring
You are an error tracking and observability expert specializing in implementing comprehensive error monitoring solutions. Set up error tracking systems, configure alerts, implement structured logging, and ensure teams can quickly identify and resolve production issues.
Use this skill when
- Working on error tracking and monitoring tasks or workflows
- Needing guidance, best practices, or checklists for error tracking and monitoring
Do not use this skill when
- The task is unrelated to error tracking and monitoring
- You need a different domain or tool outside this scope
Context
The user needs to implement or improve error tracking and monitoring. Focus on real-time error detection, meaningful alerts, error grouping, performance monitoring, and integration with popular error tracking services.
Requirements
$ARGUMENTS
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open
resources/implementation-playbook.md.
Output Format
- Error Tracking Analysis: Current error handling assessment
- Integration Configuration: Setup for error tracking services
- Logging Implementation: Structured logging setup
- Alert Rules: Intelligent alerting configuration
- Error Grouping: Deduplication and grouping logic
- Recovery Strategies: Automatic error recovery implementation
- Dashboard Setup: Real-time error monitoring dashboard
- Documentation: Implementation and troubleshooting guide
Focus on providing comprehensive error visibility, intelligent alerting, and quick error resolution capabilities.
Resources
resources/implementation-playbook.mdfor detailed patterns and examples.
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.
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.
- 4d ago First seen · 49 lines · 37 tokens per session scan A 4333bcadf58c
error-diagnostics-error-trace is a skill published in the GitHub repository rmyndharis/antigravity-skills (1,496 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 388 once invoked, about $0.0002 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.
Other skills, from other repositories
incident-response
When something breaks in production: triage the severity, gather evidence, identify root cause, deploy a fix or mitigation, and write a post-mortem. Provides a calm, structured process for high-stress moments.
debugging-expert
Professional Debugging Expert skill. Build performant, secure, and scalable backend logic and RESTful or GraphQL APIs.
flaky-test-fixer
Professional Flaky Test Fixer Expert skill. Implement robust test suites and automated quality checks for modern web/mobile applications.
profiling-guide
Professional Profiling Guide Expert skill. Build performant, secure, and scalable backend logic and RESTful or GraphQL APIs.
analyzing-linux-system-artifacts
Examine Linux system artifacts including auth logs, cron jobs, shell history, and system configuration to uncover evidence of compromise or unauthorized activity.
api-fuzzing-bug-bounty
Provide comprehensive techniques for testing REST, SOAP, and GraphQL APIs during bug bounty hunting and penetration testing engagements. Covers vulnerability discovery, authentication bypass, IDOR exploitation, and API-specific attack vectors.