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SKILL verified MIT Self-run

Dot Development

skill-fmind-dot-dot-development · by fmind

Develop fmind/dot CLI commands, session parsers, storage, configuration, and installation.

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Install

$ agentstack add skill-fmind-dot-dot-development

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ● Shell / process execution Used
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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How agent discovery & health will work →
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About

Develop Dot

Change the Python CLI while retaining its observable command, archive, and installation contracts. [dot-cli](../../../skills/dot-cli/SKILL.md) owns operating the installed tool; [python-stack](../../../skills/python-stack/references/foundation/GUIDE.md) and [cli-contracts](../../../skills/cli-development/references/cli-contracts.md) 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 pytest -q dot/tests/.py; add behavioral cases for changed outcomes and realistic failures. Read [session compatibility](references/session-compatibility.md) 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 dot for checkout behavior. When installation is in scope, mise run deploy builds and selects the installed runtime; verify dot --version and the changed installed command separately. mise run verify is workstation health, not repository qualification.

Source and test map

  • cli.py, command_group.py, state.py, and config.py: command discovery, configuration, and public errors; test_cli.py and test_config.py exercise the boundary.
  • private_files.py: shared private-directory creation and atomic writes; test_private_files.py covers permissions, failed publication, and temporary-file cleanup.
  • secrets.py: explicit credential loading and PyPI publishing; test_secrets.py covers precedence, private files, rejected overrides, child I/O, and native login preservation. Keep fixtures synthetic and never print credential values.
  • auth.py and workstation.py: login, setup, cache inspection, and confirmed cleanup; test_workstation.py uses synthetic provider probes. Never run real login/setup/prune as a validation gate.
  • repository.py, process.py, and system.py: repository concurrency, subprocess cancellation, completions, and workstation checks; use their matching tests and temporary homes.
  • archive/parsers.py, sync.py, store.py, usage.py, pricing.py, and statistics.py: discovery, incremental capture, the session store, request accounting, subscription periods, and prompt statistics. test_archive_transaction.py covers replacement, usage retention, and the retired v2 store refusal; test_usage_periods.py covers deduplication, model changes, date boundaries, and legacy recapture; test_pricing.py covers cache accounting and unknown rates.
  • agent_doctor.py and hooks.py: per-agent notify hooks, sync, and archive checks, plus notification payloads; test_agent_doctor.py and test_agent_hooks.py exercise them.

Documentation

  • [Project tasks](../../../mise.toml) and [package configuration](../../../dot/pyproject.toml) own the actual gate and dependency graph.
  • Releases: fmind/dot · changelog
  • Companion skills: [chezmoi](../chezmoi/SKILL.md) (managed configuration), [dot-release](../dot-release/SKILL.md) (release lifecycle), [systematic-debugging](../../../skills/systematic-debugging/SKILL.md) (unknown failures).

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

  • Author: fmind
  • Source: fmind/dot
  • License: MIT
  • Homepage: https://fmind.dev

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.