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 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/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/mise"><img src="https://agentmods.dev/badge/skills/fmind/dot/mise.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 | $0.01106 |
| Opus 5.5 | $0.00008 | $0.00442 |
| Sonnet 5.5 | $0.00004 | $0.00221 |
| Haiku 4.5 | $0.00002 | $0.00111 |
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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mise
One project mise.toml owns tool pins and commands; hooks and CI decide when to invoke them. Reuse the appropriate language stack's configuration instead of creating parallel command definitions.
Workflow
- Inspect the repository's existing tasks, lockfile, tool providers, hooks, and CI before changing the contract.
- Select versions per the tool version rules before installing copied scaffold selectors:
fmind/dottrackslatest; a documented hold (currently Python 3.14) carries its reason beside the pin; every other repository owns exact pins and changes them only during its own requested upgrade. Seed a new project from installed versions (mise ls --installed --json) to reuse installations; never copy tool binaries into projects. - Keep tasks simple: prefer direct commands, short sequential
runarrays, and declarative dependencies. A short multiline sequence for setup and cleanup is acceptable; avoid explicitbash -c/sh -c, nested conditions, argument-dispatch wrappers, and large shell programs. Use native tool options or explicit task names first; put necessary procedural logic in a small maintained script, preferably Python. - Keep the shared vocabulary below; read task conventions for subtask names, concise output, argument forwarding, dependency order, and tool updates.
- Pin and install the project toolchain, then validate task definitions with
mise tasks validate; usemise run <task>in automation. - Verify the changed task and its callers, then the required complete gate; record a concrete reason for held-back pins.
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 |
Live reload, or re-run tests; omitted by stacks with neither. |
all |
a |
format, check, test, build in sequence: the full gate. |
What ships with it
3 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.
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 cf6ec7df8c41
- 3d ago Changed 94cfa20a7424
- 12d ago Changed 3bf27659b190
- 14d ago Changed 88d2b4e60619
- 15d ago Changed · -2 lines · +1 tokens per session 74a7c6cdceb2
- 17d ago Changed ab850fe017b0
- 23d ago Changed d708e05611d7
- 24d ago Changed c772ef5e6007
- 26d ago Changed 58de534b103b
- 29d ago First seen · 58 lines · 19 tokens per session scan A 0d04f7f91b3c
mise is a skill published in the GitHub repository fmind/dot (12 stars, last pushed today), licensed MIT. It adds 20 tokens to every session and 1,106 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 2026-09-03.
Other skills, from other repositories
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.
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.
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.
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.