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/martinemde/dotfiles/plannpx skills add martinemde/dotfiles --skill plangit clone --depth 1 https://github.com/martinemde/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 | $0.00045 | $0.01332 |
| Opus 5 | $0.00023 | $0.00666 |
| Sonnet 5 | $0.00009 | $0.00266 |
| Haiku 4.5 | $0.00005 | $0.00133 |
Grade A, and why
plan 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.
How it starts
The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plan
Turn work into a task graph that maximizes throughput — what's independent, what genuinely depends on what, and how to structure agents around it.
This skill exists because planning drifts linear by default. A → B → C is the natural shape to write down even when B and C touch different files and share no state, and the result is correct but slower than it needs to be. So the question this skill keeps asking is: what is the minimal set of sequential constraints here?
Arguments
$ARGUMENTS
Pre-computed Context
Git root: !`git rev-parse --show-toplevel 2>/dev/null || echo "NOT A GIT REPO"`
Test suite: !`test -d test/ && echo "yes" || echo "no"`
CLAUDE.md exists: !`test -f CLAUDE.md && echo "yes" || echo "no"`
Constraints
- Call
EnterPlanModebefore designing the plan. This skill is plan-first. - Never use
git -C <path>— it rewrites the command prefix and breaksallowed-toolsmatching.
1. Enter plan mode
Call EnterPlanMode immediately. Everything below happens inside it.
2. Understand the work
If $ARGUMENTS carries context from /gather-context or /think, use it. Otherwise explore:
what files change, what the current code does and why, what tests exist and what patterns they
follow.
3. Decompose, then find the parallelism
Break the work into discrete tasks. For each, establish what must complete before it can start, what kind of agent suits it, whether it benefits from worktree isolation (it does if another task touches the same files), and whether a human should review before downstream work proceeds.
Then make a deliberate pass over dependencies, starting from the assumption that everything is
independent. Group tasks by the files they touch — different groups are parallel candidates. For
each pair, ask whether task B needs task A's output, or merely needs A to exist. Only the
first is a real dependency. Add blockedBy only where that test fails, with a one-line reason.
Two rules of thumb worth applying: tests can often be written in parallel with implementation when they test the interface rather than the implementation, and review can start as soon as there's something to review rather than waiting for everything.
What ships with it
1 file 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.
- 2d ago First seen · 144 lines · 0 tokens per session scan A c68db9f5ecfe
plan is a skill published in the GitHub repository martinemde/dotfiles (9 stars, last pushed 1mo ago), licensed ISC. It adds 45 tokens to every session and 1,332 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 2026-08-31.
Other skills, from other repositories
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…
aiq-research
Use when asked to run deep research or AI-Q research through a reachable NVIDIA AI-Q Blueprint backend.
obsidian-bases
Obsidian Bases database feature for YAML-based interactive note views. Use when creating .base files, writing filter queries, building formulas, configuring table/card views, or working with Obsidian properties and frontmatter databases.
telegram
Send notifications, interactive questions, or multiple-choice polls to the user via Telegram. Use when the user asks to be notified ("ping me", "notify me on Telegram", "ask me when..."), when a long-running task finishes and the user is likely away, when an irreversible action needs out-of-band confirmation, or when…
chezmoi-expert
Comprehensive chezmoi dotfiles management expertise including templates, cross-platform configuration, file naming conventions, and troubleshooting. Covers source directory management, reproducible environment setup, and chezmoi templating with Go templates. Use when user mentions chezmoi, dotfiles, cross-platform…