dot: Skill for Claude Code

.agents/skills/dot-development/SKILL.md

dot-development is a skill for Claude Code, Codex from fmind/dot. It costs 22 tokens per session (979 once invoked), scanned A, original, MIT.

A maintenance guide for the Python code behind Dot, a command-line tool. It covers changing commands, session parsing, stored data, settings, shell completions, and installation without breaking existing behavior.

In plain words
What is it for?
Use it when modifying Dot's Python CLI, configuration, session handling, storage, completions, or installation. It helps choose the right tests and implementation boundaries.
Why use it?
It helps developers change the tool safely while keeping its commands, output, error codes, and installation behavior compatible. It also directs them to tests that avoid changing real user data or the workstation.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions AGENTS.md.

This is fmind/dot's own configuration. It tells Claude Code and Codex how to work on dot itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything dot configures →

Reuse

Borrowing it

Nothing to install: this file belongs to fmind/dot. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/fmind/dot/main/.agents/skills/dot-development/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/fmind/dot

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for dot-development

README.md
[![agentmods](https://agentmods.dev/badge/skills/fmind/dot/dot-development/github.svg)](https://agentmods.dev/skills/fmind/dot/dot-development)
Your own site
<a href="https://agentmods.dev/skills/fmind/dot/dot-development"><img src="https://agentmods.dev/badge/skills/fmind/dot/dot-development/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.

agentmods 80×15 button for dot-development

Your own site · 80×15
<a href="https://agentmods.dev/skills/fmind/dot/dot-development"><img src="https://agentmods.dev/badge/skills/fmind/dot/dot-development.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 979 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00022 $0.00979
Opus 5.5 $0.00009 $0.00392
Sonnet 5.5 $0.00004 $0.00196
Haiku 4.5 $0.00002 $0.00098

Measured 3d ago against content hash cdaaa43f2cde, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dot-development 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 3d 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.

.agents/skills/dot-development/SKILL.md · 42 lines

How it starts

The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Develop Dot

Change the Python CLI while retaining its observable command, archive, and installation contracts. dot-cli owns operating the installed tool; python-stack and cli-contracts own generic implementation and interface design.

Workflow

  1. Find the owner: inspect git status --short, git diff, and git diff --cached, then follow the source/test map below. Read the current implementation before selecting a change boundary.
  2. Define the observable change: preserve command names, aliases, help, JSON output, exit codes, stdout/stderr, and Fish completions unless the task explicitly changes them. Exercise configuration errors through the public CLI; repair commands must remain usable when ordinary config loading fails.
  3. Implement through existing boundaries: reuse State and Runner for configuration, streams, and external commands. Use temporary homes and fake runners in tests so a CLI regression cannot authenticate, publish, prune real data, or modify the workstation.
  4. Select proof: run relevant existing tests with uv run --frozen --project dot pytest -q dot/tests/<test_file>.py; add behavioral cases for changed outcomes and realistic failures. Read session compatibility before changing parser output, replacement rules, or stored formats.
  5. Qualify the candidate: run affected static checks and reuse the focused test results above. Follow project AGENTS.md for the full-gate boundary: shared behavior, dependencies, packaging, or explicit full qualification. Isolate write-formatting checks when unrelated work is present and compare the tested candidate with the intended source before transferring proof or edits.
  6. Verify the right executable: use uv run --frozen --project dot dot <command> for checkout behavior. When installation is in scope, mise run deploy reinstalls it with uv tool install, constrained to dot/uv.lock; verify dot --version and the changed installed command separately. mise run doctor is workstation health, not repository qualification.

Read the full file on GitHub · 42 lines

Files

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.

Changes

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.

  1. 3d ago Changed cdaaa43f2cde
  2. 4d ago Changed 962618a6d2e4
  3. 10d ago Changed 3b66199e00ed
  4. 16d ago Changed 239ab5975f4a
  5. 21d ago Changed d792e48acb91
  6. 23d ago Changed 01ba4b303b46
  7. 24d ago Changed 90a588fec927
  8. 26d ago Changed d5814c81b3d0
  9. 29d ago Changed · +1 lines 00421aeab0bd
  10. 1mo ago First seen · 41 lines · 22 tokens per session scan A 12b2081b5a3a

Subscribe to this mod's changes

dot-development is a skill published in the GitHub repository fmind/dot (12 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 979 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 2026-09-10.

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