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/fmind/dot/misenpx skills add fmind/dot --skill misegit 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/mise)<a href="https://agentmods.dev/skills/fmind/dot/mise"><img src="https://agentmods.dev/badge/skills/fmind/dot/mise.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 | $0.00038 | $0.01744 |
| Opus 5 | $0.00019 | $0.00872 |
| Sonnet 5 | $0.00008 | $0.00349 |
| Haiku 4.5 | $0.00004 | $0.00174 |
Grade A, and why
mise 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.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mise
One mise.toml per project pins the toolchain and defines the task vocabulary that hooks and CI reuse; mise owns what every task does, while lefthook and github-actions only decide when to run it.
Task Vocabulary
Every project exposes the same core tasks with short aliases so agents, hooks, and CI stay portable:
| Task | Alias | Purpose |
|---|---|---|
install |
i |
Sync dependencies and install git hooks (lefthook install). |
format |
f |
Format all sources (fans out to format:*). |
check |
c |
All static checks in parallel (fans out to check:*). |
test |
t |
Run the test suite. |
build |
b |
Compile or package artifacts (fans out to build:*). |
watch |
w |
Run the app with live reload, or re-run tests where there is no app to serve; omitted only by a stack with neither, such as terraform-stack. |
all |
a |
format, check, test, build in sequence: the full gate. |
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 20ee385dba10
- yesterday First seen · 85 lines · 38 tokens per session scan A b7872e2b526a
mise is a skill published in the GitHub repository fmind/dot (4 stars, last pushed today), licensed MIT. It adds 38 tokens to every session and 1,744 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
chezmoi
Manage chezmoi dotfiles: source naming, Go templates, age-encrypted secrets, and the edit-source then apply/diff workflow.
mise
Configure pinned mise tools and canonical install, format, check, test, build, and watch tasks shared by hooks and CI.
dependabot
Automated dependency updates using GitHub Dependabot — configuration, ecosystem mapping, and validation.
google-workspace-cli
Use gws across Workspace APIs with schema-first calls, profile isolation, bounded reads, and verified Drive, Docs, Sheets, Gmail, Calendar, or Chat writes.
github-actions
Configure GitHub Actions CI/CD so workflows run the same mise format, check, test, and build gate as local hooks; lint with actionlint and Zizmor; use keyless deploy templates.
handover
Write a self-contained follow-up prompt carrying this session's decisions, constraints, and verified findings into a fresh agent session. Use when handing unfinished work to a new context window.