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 airvalona/antigravity-like-claude-code --skill doctorgit clone --depth 1 https://github.com/airvalona/antigravity-like-claude-codeWrote 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/airvalona/antigravity-like-claude-code/doctor)<a href="https://agentmods.dev/skills/airvalona/antigravity-like-claude-code/doctor"><img src="https://agentmods.dev/badge/skills/airvalona/antigravity-like-claude-code/doctor/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/airvalona/antigravity-like-claude-code/doctor"><img src="https://agentmods.dev/badge/skills/airvalona/antigravity-like-claude-code/doctor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00054 | $0.00442 |
| Opus 5 | $0.00027 | $0.00221 |
| Sonnet 5 | $0.00011 | $0.00088 |
| Haiku 4.5 | $0.00005 | $0.00044 |
Grade A, and why
doctor 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 10d 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.
What it actually says
/doctor — Environment Diagnostics
Port of Claude Code's /doctor. Antigravity CLI has its own --help/install
diagnostics for the CLI itself, but nothing that checks project-level setup
health — that's the gap this fills.
Steps
-
Check declared commands actually work. If
AGENTS.mdlists install/build/ test/lint commands, dry-run each with a safe check (e.g.--versionor--helpon the underlying tool, not the full command) to confirm the tool is installed and on PATH. -
Check for common breakage:
- Lockfile out of sync with manifest (e.g.
package-lock.jsonolder thanpackage.json, or missing entirely) .env.examplepresent but.envmissing- Referenced scripts in
AGENTS.mdorpackage.jsonthat point to files which no longer exist - Git repo in a broken state (detached HEAD, unresolved merge conflicts, large numbers of untracked files that look like build artifacts)
- Lockfile out of sync with manifest (e.g.
-
Report findings as a simple pass/fail checklist:
✔ Node.js installed (v20.11.0)
✘ package-lock.json missing — run `npm install`
✔ AGENTS.md commands resolve
✘ .env missing (.env.example present) — copy and fill in required values
- Offer to fix the straightforward ones directly (e.g. running
npm install, copying.env.exampleto.env) but ask before touching anything that could overwrite existing config.
Notes
This is a project-health check, not a full system diagnostic — don't try to audit the user's entire machine, only what's relevant to this project running correctly.
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.
- 10d ago First seen · 44 lines · 54 tokens per session scan A afd1aa2d1ef4
doctor is a skill published in the GitHub repository airvalona/antigravity-like-claude-code (2 stars, last pushed 2mo ago), licensed MIT. It adds 54 tokens to every session and 442 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
debug-optimize-lcp
Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…
systematic-debugging
Use when debugging a failing test, build error, or runtime issue that isn't immediately obvious. Guides a 4-phase root cause analysis instead of random fix attempts.
diagnose
Trace from a reproduced symptom to the source code that causes it. Pin the specific file and approximate line, rate confidence in the cause and clarity of the fix independently, and always propose a concrete fix.
repro-admin
Reproduce an EmDash admin UI bug. Attach a container, start the demo dev server, drive the admin with agent-browser using the dev-bypass session, and capture the reproduction as screenshots plus a replayable transcript.
log-error-digest
Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or…
byted-util-volcengine-detect-retry
An orchestration workflow for Volcengine Cloud Detect, a service that checks websites or network endpoints from test locations.