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/urmzd/dotfiles/shipnpx skills add urmzd/dotfiles --skill shipgit clone --depth 1 https://github.com/urmzd/dotfilesWhat 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 | $0.00119 | $0.00629 |
| Opus 5 | $0.00060 | $0.00315 |
| Sonnet 5 | $0.00024 | $0.00126 |
| Haiku 4.5 | $0.00012 | $0.00063 |
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 2d 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
Ship
Commit, push, and watch the CI pipeline.
Steps
-
Stage changes: Run
git status --porcelain. If there are unstaged/untracked changes, stage them (prefer specific files overgit add -A; never stage.envor credential files). -
Commit: If a message argument is provided, use it. Otherwise, generate a conventional commit message from the diff (
feat:,fix:,chore:,docs:,refactor:,test:). Use the repo's recentgit log --oneline -10to match style. -
Push (optional): Only if the user wants to push. Run
git push. If no upstream is set, usegit push -u origin HEAD. If the user only asked for a commit, stop here and report the commit. -
Watch CI (optional): After push, run
gh run list --branch $(git branch --show-current) --limit 1 --json databaseId,status,conclusionin a loop (max 5 minutes, poll every 15s). Report the final status. -
On failure: If CI fails, run
gh run view <id> --log-failedand show the relevant error output so the user can decide next steps.
Rules
- Never commit files that look like secrets (.env, credentials.json, *.pem, *.key).
- Never force push.
- If there are no changes to commit, say so and stop.
- If CI isn't set up (no workflows found), just push and report that there's no CI to watch.
Gotchas
- The
gh runis not registered immediately aftergit push. Poll with retry (a few attempts, a couple seconds apart) before concluding "no run found" -- the run may take several seconds to appear. - If
git pushis rejected by branch protection (protected branch, required reviews, required status checks), stop and report the rejection. Do not retry, force push, or attempt to bypass protection.
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.
- 2d ago First seen · 46 lines · 119 tokens per session scan A 79d20fa4a310
ship is a skill published in the GitHub repository urmzd/dotfiles (3 stars, last pushed 20d ago), licensed Apache-2.0. It adds 119 tokens to every session and 629 once invoked, about $0.0006 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
benchling-integration
Benchling Python SDK and REST API integration for registry entities, inventory, ELN entries, workflows, Benchling Apps, and Data Warehouse queries. Use when automating lab data with benchling-sdk or the v2 API.
astropy
Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.
esm
Comprehensive toolkit for EvolutionaryScale protein language models including ESM3 (generative multimodal design across sequence, structure, and function) and ESM C (efficient embeddings). Use for protein sequence/structure/function tasks, inverse folding, embeddings, variant design, and ESMFold2 structure prediction…
create-pr
Rebase from the latest origin/main, squash the commits from it, and then create a PR on github with intelligent commit messages based on staged changes.
mcp-notion-usage-guide
MCP Notion工具使用指南,包含常见问题解决方案和最佳实践。使用当: (1) 访问Notion数据库view URL出现"URL type view not currently supported"错误, (2) 需要获取数据库schema和表结构信息, (3) 查询数据库中的条目内容, (4) 创建页面时MULTISELECT字段值不存在导致失败, (5) 需要更新数据库schema添加新选项, (6) 开发需要集成Notion数据的自动化工作流, (7) querydatasources/query-database-view返回Business Plan要求错误, (8) 需要在无Business…
scan-commit
Automatically scan the repository for unstaged/untracked changes, group them into logical commits using hunk-level analysis, stage and commit them following Conventional Commits.