Agent skill

Auto Research

by kbanc85 in kbanc85/claudia

Iteratively improve a local artifact (draft, document, page) by running a hill-climbing loop.

Custom licenceAuto-check passed

Install Auto Research

skills CLI
$ npx skills add kbanc85/claudia --skill auto-research -a claude-code

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

GitHub CLI
$ gh skill install kbanc85/claudia auto-research --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/kbanc85/claudia.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/claudia/skills/auto-research .claude/skills/auto-research && 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
auto-research
GitHub stars
296
Token cost
~4.6k tokens
SKILL.md length
2,144 words
Files
3 (incl. references)
Skills in repo
37
Repo updated
First seen
Licence
Custom licence

At a glance

Iteratively improve a local artifact (draft, document, page) by running a hill-climbing loop.

  • Works in 4 steps: The artifact — what gets iterated on (a… → The evaluator — a scalar rubric. Plain… → The budget — iteration count (default… → …
  • User says iterate on this
  • SKILL.md covers Mental model, When to invoke this skill, When NOT to invoke and Workspace layout, plus 11 more sections
  • Calls git and node

What it does

Auto Research is an agent skill from kbanc85/claudia. Iteratively improve a local artifact (draft, document, page) by running a hill-climbing loop. The user names the artifact, the evaluator, and the budget. Claudia edits the artifact, scores it, keeps it if better or reverts if worse, repeats. Use when user says "iterate on this", "loop on this until it's better", "run experiments on this draft", "auto-research this", "make this better and don't stop until it's good". Workspace-scoped, never touches live files, no external actions during the loop.

Its SKILL.md is about 4.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/program-template.md` and `references/safety-rules.md`).

The repository describes itself as: Terminal-based AI chief of staff. Remembers relationships, tracks commitments, helps you think strategically. Runs on Claude Code.

When your agent uses it

  • User says iterate on this
  • Loop on this until its better
  • Run experiments on this draft
  • Auto-research this

Example prompts

  • “iterate on this”
  • “loop on this until it”
  • “run experiments on this draft”
  • “/auto-research”

Workflow steps

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

  1. The artifact — what gets iterated on (a draft email, a brief, a wiki page, a one-pager). Lives in the workspace, never touches the user's…
  2. The evaluator — a scalar rubric. Plain English. An independent Checker (the loop-checker agent, Haiku) scores each iteration against it…
  3. The budget — iteration count (default 20). Loop stops when budget is exhausted or score plateaus.
  4. The program (governance file) — what the user wants, what's off-limits, what counts as "better." Claudia helps the user write this if they…

What it can do on your machine

Read from SKILL.md and the folder at commit eb63cec. 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

    Shell commands in SKILL.md call:

    • git
    • node

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

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

    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

Auto Research loads about 4.6k tokens when it runs, and up to ~7k if it reads all its reference files. Until then it costs about 129 tokens; SKILL.md has 2,144 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~129
When it runs · the whole SKILL.md, loaded when a task matches
~4.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 2,144 words (~4,575 tokens).

“A hill-climber for any local artifact with a rubric. Inspired by Karpathy's autoresearch pattern, adapted to Claudia's safety principles.”

— opening of SKILL.md by kbanc85, Custom licence
name
auto-research
effort-level
high
invocation
contextual

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (references) in plugins/claudia/skills/auto-research of kbanc85/claudia.

  • SKILL.md
  • references/program-template.md
  • references/safety-rules.md

Open the folder on GitHubat commit eb63cec

Compare with similar skills

Auto Research 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.

Auto Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Auto Research this skillkbanc85/claudia296—~4.6kAutomated safety check: PassCustom licence
Artifacts Buildernexu-io/open-design100k—~347Automated safety check: PassApache-2.0
Web Artifacts Builderanthropics/skills180k41 repos~769Automated safety check: PassApache-2.0
Web Artifacts Buildernexu-io/open-design100k—~337Automated safety check: PassApache-2.0
Skill Improversickn33/agentic-awesome-skills47k2 repos~1.5kAutomated safety check: PassMIT
Web Artifacts Buildersickn33/agentic-awesome-skills47k3 repos~824Automated safety check: PassApache-2.0

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Questions about Auto Research

What does Auto Research do?

Iteratively improve a local artifact (draft, document, page) by running a hill-climbing loop. Auto Research is an agent skill from kbanc85/claudia. Iteratively improve a local artifact (draft, document, page) by running a hill-climbing loop.

When should I use Auto Research?

Auto Research fits situations like: user says iterate on this; loop on this until its better; run experiments on this draft; auto-research this.

How do I install Auto Research in Claude Code?

Run `npx skills add kbanc85/claudia --skill auto-research -a claude-code`. Or copy the skill folder (plugins/claudia/skills/auto-research in kbanc85/claudia) into .claude/skills/auto-research in your project. Claude Code loads it when a task matches its description.

How do I install Auto Research in Codex?

Run `npx skills add kbanc85/claudia --skill auto-research -a codex`. Or copy the skill folder (plugins/claudia/skills/auto-research in kbanc85/claudia) into .agents/skills/auto-research in your project. Codex loads it when a task matches its description.

Can I use Auto Research 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 kbanc85/claudia --skill auto-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/auto-research, .gemini/skills/auto-research, .github/skills/auto-research and .opencode/skills/auto-research in your project.

What does Auto Research need to run?

Going by SKILL.md and its folder, Auto Research needs the command-line tools its instructions call (git and node).

Does Auto Research access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Auto Research 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 Auto Research use?

Auto Research has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Auto Research use?

About 4.6k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.4k tokens, read only when the agent opens those files.

What are the alternatives to Auto Research?

Skills that share tags, products or a category with Auto Research: Artifacts Builder (nexu-io/open-design, 100k stars), Web Artifacts Builder (anthropics/skills, 180k stars), Web Artifacts Builder (nexu-io/open-design, 100k stars) and Skill Improver (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Auto Research?

kbanc85 (a GitHub user) maintains it in kbanc85/claudia, which has 296 GitHub stars. The repository holds 37 skills in this directory. The repository was last updated on September 4, 2026.

Source: kbanc85/claudia on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.