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Agent skill

Dotfile Hone

by harperreed in harperreed/dotfiles

A skill your agent uses when a pipeline DOT file has passed structural validation but may still have flow inefficiencies, spec fidelity gaps, or information loss in prompts.

No licenceAuto-check passedAI & LLM Engineering

Install Dotfile Hone

skills CLI
$ npx skills add harperreed/dotfiles --skill dotfile-hone -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install harperreed/dotfiles dotfile-hone --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/harperreed/dotfiles.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills-archive/dot-file-hone .claude/skills/dotfile-hone && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
dotfile-hone
GitHub stars
334
Token cost
~2.6k tokens
SKILL.md length
861 words
Files
1
Skills in repo
32
Repo updated
First seen
Licence
None found

At a glance

A skill your agent uses when a pipeline DOT file has passed structural validation but may still have flow inefficiencies, spec fidelity gaps, or information loss in prompts.

  • Works in 10 steps: [ ] Confirm dotfile-audit passes… → [ ] Pass 1: Flow analysis — check… → [ ] Fix flow issues (add selective… → …
  • A pipeline DOT file has passed structural validation but may still have flow inefficiencies
  • SKILL.md covers When to Use, Process Overview, Pass 1: Flow Analysis and Pass 2: Reverse Spec Test, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Dotfile Hone is an agent skill from harperreed/dotfiles. Use when a pipeline DOT file has passed structural validation but may still have flow inefficiencies, spec fidelity gaps, or information loss in prompts. Use after dotfile-audit or dotfile-from-spec when you want to deeply verify a pipeline captures everything from the original spec. Use when prompts might be missing critical domain rules, data models, or invariants.

Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering Embeddings. The repository describes itself as: Dotfiles. Managed by YADM.

When your agent uses it

  • A pipeline DOT file has passed structural validation but may still have flow inefficiencies
  • Spec fidelity gaps
  • Information loss in prompts
  • Prompts might be missing critical domain rules

Example prompts

  • “/dotfile-hone”

Workflow steps

10 steps, taken from the first numbered list in SKILL.md.

  1. [ ] Confirm dotfile-audit passes (prerequisite)
  2. [ ] Pass 1: Flow analysis — check fan-out/fan-in efficiency, false sequential dependencies
  3. [ ] Fix flow issues (add selective joins, parallelize independent components)
  4. [ ] Pass 2: Dispatch subagent for reverse spec test
  5. [ ] Compare reverse spec against original — catalog gaps
  6. [ ] Pass 3: Embed core invariants into component prompts
  7. [ ] Pass 4: Re-run reverse spec test to verify gaps closed
  8. [ ] Compare before/after — confirm improvement
  9. [ ] Run dotfile validate to confirm no structural regressions
  10. [ ] Present summary: what was found, what was fixed, what gaps remain

What it can do on your machine

Read from SKILL.md and the folder at commit b78c10e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are dot).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Dotfile Hone loads about 2.6k tokens when it runs. Until then it costs about 96 tokens; SKILL.md has 861 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~96
When it runs · the whole SKILL.md, loaded when a task matches
~2.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 861 words (~2,650 tokens).

“Multi-pass deep refinement of pipeline DOT files. Goes beyond structural correctness (dotfile-audit) to catch flow inefficiencies, spec information loss, and missing domain invariants in prompts.”

— opening of SKILL.md by harperreed
name
dotfile-hone

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills-archive/dot-file-hone of harperreed/dotfiles.

Open the folder on GitHubat commit b78c10e

Compare with similar skills

Dotfile Hone next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Dotfile Hone compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Dotfile Hone this skillharperreed/dotfiles334—~2.6kAutomated safety check: PassNone
Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs13k7 repos~2.3kAutomated safety check: PassMIT
SageMaker Serving Image Selectionhuggingface/skills11k1 repos~4.6kAutomated safety check: PassApache-2.0
Codebase Managementgiancarloerra/SocratiCode3.3k1 repos~1.8kAutomated safety check: PassAGPL-3.0
CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs13k7 repos~1.7kAutomated safety check: PassMIT
Sentence-Transformers Training Routerhuggingface/skills11k1 repos~2.6kAutomated safety check: PassApache-2.0

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Categories

Questions about Dotfile Hone

What does Dotfile Hone do?

A skill your agent uses when a pipeline DOT file has passed structural validation but may still have flow inefficiencies, spec fidelity gaps, or information loss in prompts. Dotfile Hone is an agent skill from harperreed/dotfiles. Use when a pipeline DOT file has passed structural validation but may still have flow inefficiencies, spec fidelity gaps, or information loss in prompts.

When should I use Dotfile Hone?

Dotfile Hone fits situations like: A pipeline DOT file has passed structural validation but may still have flow inefficiencies; spec fidelity gaps; information loss in prompts; prompts might be missing critical domain rules.

How do I install Dotfile Hone in Claude Code?

Run `npx skills add harperreed/dotfiles --skill dotfile-hone -a claude-code`. Or copy the skill folder (.claude/skills-archive/dot-file-hone in harperreed/dotfiles) into .claude/skills/dotfile-hone in your project. Claude Code loads it when a task matches its description.

How do I install Dotfile Hone in Codex?

Run `npx skills add harperreed/dotfiles --skill dotfile-hone -a codex`. Or copy the skill folder (.claude/skills-archive/dot-file-hone in harperreed/dotfiles) into .agents/skills/dotfile-hone in your project. Codex loads it when a task matches its description.

Can I use Dotfile Hone in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add harperreed/dotfiles --skill dotfile-hone -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dotfile-hone, .gemini/skills/dotfile-hone, .github/skills/dotfile-hone and .opencode/skills/dotfile-hone in your project.

What does Dotfile Hone need to run?

SKILL.md names no scripts, command-line tools or credentials: Dotfile Hone is instructions for the agent only.

Does Dotfile Hone access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Dotfile Hone safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Dotfile Hone use?

No licence was found for Dotfile Hone or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Dotfile Hone use?

About 2.6k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Dotfile Hone?

Skills that share tags, products or a category with Dotfile Hone: Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars), SageMaker Serving Image Selection (huggingface/skills, 11k stars), Codebase Management (giancarloerra/SocratiCode, 3.3k stars) and CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dotfile Hone?

harperreed (a GitHub user) maintains it in harperreed/dotfiles, which has 334 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on October 3, 2026.

Source: harperreed/dotfiles on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.