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 agentmods add skills/balajivis/mai-class/gstack-shipnpx skills add balajivis/mai-class --skill gstack-shipgit clone --depth 1 https://github.com/balajivis/mai-classWrote 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/balajivis/mai-class/gstack-ship)<a href="https://agentmods.dev/skills/balajivis/mai-class/gstack-ship"><img src="https://agentmods.dev/badge/skills/balajivis/mai-class/gstack-ship.svg" alt="Measured on agentmods" 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 | $0.00072 | $0.13734 |
| Opus 5 | $0.00036 | $0.06867 |
| Sonnet 5 | $0.00014 | $0.02747 |
| Haiku 4.5 | $0.00007 | $0.01373 |
Grade A, and why
ship 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 5d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 5d ago First seen · 1,090 lines · 72 tokens per session scan A 9d38e98a775c
ship is a skill published in the GitHub repository balajivis/mai-class (2 stars, last pushed 3mo ago), with no licence file. It adds 72 tokens to every session and 13,734 once invoked, about $0.0004 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
github-automation
GitHub workflow automation, PR management, issue tracking, and code review coordination. Integrates with GitHub Actions and repository management. Use when: PR creation, code review, issue management, release automation, workflow setup. Skip when: local-only changes, non-GitHub repositories.
crew-commit
Canonical commit workflow for Gas Town crew members: pre-flight checks, branch creation, gt commit with agent identity, push, and PR creation. Use when ready to commit and submit work for review.
cherry-pick
Cherry-pick a commit from main to a Sui release branch, create the release PR, and report the PR URL.
task-snapshot
Create a commit or tag snapshot only when explicitly requested for a milestone, reproducibility checkpoint, handoff, or pinned artifact.
mflux-pr
Make a clean PR in mflux (inspect diff, quick verification, commit, push, open PR) using repo conventions.
comet-safe-delivery
在保护无关脏改动、关联 worktree、子模块和用户明确边界的前提下，提交、推送、合并或完成范围明确的 Comet 变更。用户要求提交、推送、合并回目标分支、清理 worktree 或交付已准备好的改动时使用。.