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 fmind/dot --skill agygit clone --depth 1 https://github.com/fmind/dotWrote 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/fmind/dot/agy)<a href="https://agentmods.dev/skills/fmind/dot/agy"><img src="https://agentmods.dev/badge/skills/fmind/dot/agy/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/fmind/dot/agy"><img src="https://agentmods.dev/badge/skills/fmind/dot/agy.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 | $0.00020 | $0.00276 |
| Opus 5.5 | $0.00008 | $0.00110 |
| Sonnet 5.5 | $0.00004 | $0.00055 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
agy 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 today.
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
Agy
Operate Antigravity through its CLI or Python SDK. Select the actual surface, then read only the matching guide and its required resources.
Task guides
- agy: CLI sessions, managed settings and auth, custom agents, and completions.
- antigravity-sdk: Python SDK orchestration, policy, subagents, and lifecycle.
- headless-review: Run a structured headless agy review with a JSON schema and fail-closed exit checks.
- remote-control: Run agy Remote Control: per-session tunnels, the headless daemon, and project registry sync.
- statusline: Change or diagnose the managed agy status line and terminal title renderer.
What ships with it
11 files 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.
- references/agy/GUIDE.md 6.5 KB
- references/agy/references/features.md 9.7 KB
- references/agy/references/review.schema.json 803 B
- references/antigravity-sdk/GUIDE.md 5.9 KB
- references/antigravity-sdk/references/sdk-usage.md 8.3 KB
- references/antigravity-sdk/templates/orchestrator.py 5.4 KB runs code
- references/headless-review.md 2.1 KB
- references/remote-control.md 2.1 KB
- references/statusline.md 2.0 KB
- scripts/display.py 9.0 KB runs code
- scripts/sync-projects.py 3.6 KB runs code
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.
- today Changed 1ca36769f287
- 4d ago Changed 0da564470107
- 7d ago Changed ce179301ca2f
- 9d ago Changed af7cb10ee835
- 11d ago Changed 4867a481110c
- 12d ago Changed · -1 lines · -2 tokens per session 3a0db56c0d0d
- 14d ago Changed 31745e2704b8
- 18d ago Changed 0653fc5e8ed6
- 20d ago Changed 04a106be863e
- 23d ago First seen · 29 lines · 22 tokens per session scan A 803edcbec20c
agy is a skill published in the GitHub repository fmind/dot (11 stars, last pushed today), licensed MIT. It adds 20 tokens to every session and 276 once invoked, about $0.0001 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 2026-09-10.
Other skills, from other repositories
cloud-run
Deploy container services to Google Cloud Run with Artifact Registry, keyless CI identity, Secret Manager, ko, or Dockerfiles.
google-cloud-operations
Operate Google Cloud with gcloud: pin account, configuration, project, and billing context for IAM, APIs, logs, and audits outside deployment.
terraform-stack
Canonical infrastructure-as-code stack — OpenTofu-first with tflint, trivy config scans, terraform-docs, native tests, and GCS state. Use for any Terraform or OpenTofu work.
dotfiles-bootstrap
Bootstrap a workstation with the dotfiles framework. Takes a GitHub user / owner+repo / explicit clone URL and runs dot init (which shells out to chezmoi) with the right safety prompts. Honors the active agent profile (ask / plan / apply / audit) so it defaults to dry-run in safer modes and full apply in apply.
vibe
Delegate a coding task to a cheap AI model (Mistral Vibe by default, but any provider Vibe knows about — DeepSeek, Gemini Flash, etc.) and supervise the result via git diff. Claude orchestrates, the cheap model codes. Claude consumes 500-1500 tokens per delegation regardless of how many file reads the delegate does…
scaffold-terraform
Scaffold a Terraform infrastructure project with CI/CD (plan on PR, apply on push), AWS OIDC auth, .envrc, and standard files. Uses terraform CLI as the native tool. Loads on top of scaffold-project (run that first for cross-language standard files). Use when creating infrastructure repos, or when the user mentions…