Agent skill

Caveman

by comol in comol/ai_rules_1c

Terse "caveman" reply style, full technical accuracy. An agent skill from comol/ai_rules_1c.

No licenceAuto-check passedDevelopment

Install Caveman

skills CLI
$ npx skills add comol/ai_rules_1c --skill caveman -a claude-code

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

GitHub CLI
$ gh skill install comol/ai_rules_1c caveman --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/comol/ai_rules_1c.git skills-src && mkdir -p .claude/skills && cp -r skills-src/content/skills/caveman .claude/skills/caveman && 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
caveman
GitHub stars
480
Token cost
~981 tokens
SKILL.md length
477 words
Files
2
Skills in repo
26
Repo updated
First seen
Licence
None found

At a glance

Terse "caveman" reply style, full technical accuracy. An agent skill from comol/ai_rules_1c.

  • Tasks that involve Refactoring
  • SKILL.md covers When it is on, Core rules, Levels and Auto-clarity, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Caveman is an agent skill from comol/ai_rules_1c. Terse "caveman" reply style, full technical accuracy. CAVEMAN=auto (default): on for development (write / fix / refactor / deploy), off for analysis / docs / review; on / off override. Force on: /caveman, "коротко"; off: "stop caveman", "обычный режим". Levels lite / full / ultra.

Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `NOTES.md`).

It sits in Development, covering Refactoring. The repository describes itself as: Rules\skills\subagens for vibecoding in 1C(bsl).

When your agent uses it

  • Tasks that involve Refactoring

Example prompts

  • “caveman”
  • “stop caveman”
  • “/caveman”

What it can do on your machine

Read from SKILL.md and the folder at commit 709ecac. 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.

    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

Caveman loads about 981 tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 477 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~72
When it runs · the whole SKILL.md, loaded when a task matches
~981

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 477 words (~981 tokens).

“Adapted from https://github.com/JuliusBrussee/caveman (MIT, v2.2.0): compress prose, keep substance. Notes, examples — NOTES.md (not loaded).”

— opening of SKILL.md by comol
name
caveman

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in content/skills/caveman of comol/ai_rules_1c.

  • SKILL.md
  • NOTES.md

Open the folder on GitHubat commit 709ecac

Compare with similar skills

Caveman 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.

Caveman compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Caveman this skillcomol/ai_rules_1c480—~981Automated safety check: PassNone
Guidelinesakash-network/node1.1k22 repos~577Automated safety check: PassMIT
Component Refactoringlangflow-ai/langflow156k—~3.5kAutomated safety check: PassMIT
Migrate Core Code to Submodulestinyhumansai/openhuman41k—~2.6kAutomated safety check: PassGPL-3.0
ast-grep Structural Searchcode-yeongyu/oh-my-openagent70k—~3.3kAutomated safety check: PassMIT
Systematic Code Refactoringluongnv89/claude-howto42k—~3kAutomated safety check: PassMIT

Similar skills

  • Guidelines

    akash-network/node

    Behavioral guidelines to reduce common LLM coding mistakes. An agent skill from akash-network/node.

    1.1k GitHub starsUsed in 22 repos~577 tokens
    DevelopmentAuto-check passed
  • Component Refactoring

    langflow-ai/langflow

    Refactor high-complexity React components in Langflow frontend.

    156k GitHub stars~3.5k tokensUpdated today
    DevelopmentAuto-check passed
  • Migrate Core Code to Submodules

    tinyhumansai/openhuman

    Plans and carries out moving non-host-specific code and its tests from the OpenHuman core into vendored tiny submodule libraries, then releases the submodule and re-pins the host.

    41k GitHub stars~2.6k tokensUpdated today
    DevelopmentAuto-check passed
  • ast-grep Structural Search

    code-yeongyu/oh-my-openagent

    Searches and rewrites code by syntax-tree shape across 25 languages with ast-grep, for codemods, structural queries and YAML lint rules, using a Python wrapper script.

    70k GitHub stars~3.3k tokensUpdated today
    DevelopmentAuto-check passed
  • Systematic Code Refactoring

    luongnv89/claude-howto

    Guides refactoring in phases based on Martin Fowler's method: research, test coverage check, planning and small tested steps, with your approval at each phase.

    42k GitHub stars~3k tokensUpdated 7 days ago
    DevelopmentAuto-check passed
  • Codex

    skills-directory/skill-codex

    A skill your agent uses when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing

    1.5k GitHub starsUsed in 3 repos~1.8k tokens
    DevelopmentAuto-check passed

More from comol/ai_rules_1c

All 26 skills in this repo
  • Img Grid Analysis

    comol/ai_rules_1c

    Overlay a numbered grid on an image to determine column proportions for layout generation.

    480 GitHub stars~619 tokensUpdated yesterday
    Auto-check passed
  • Md To DOCX

    comol/ai_rules_1c

    Convert a Markdown file to DOCX (Word). An agent skill from comol/ai_rules_1c.

    480 GitHub stars~1.1k tokensUpdated yesterday
    Auto-check passed
  • Transcribe

    comol/ai_rules_1c

    Transcribe video and audio files via Gemini API. An agent skill from comol/ai_rules_1c.

    480 GitHub stars~960 tokensUpdated yesterday
    Auto-check: notes
  • 1c Code Search

    comol/ai_rules_1c

    Find BSL code in a 1C project — routines by name, code by behaviour or exact literal, module layout, members of a context — through the graph and code-metadata MCP servers before any Grep.

    480 GitHub stars~1k tokensUpdated yesterday
    Auto-check passed
  • 1c Repository Manage

    comol/ai_rules_1c

    1C configuration repository (хранилище) — status, history, diff, lock, update, commit, unlock, dump; lock before edit, commit after verify.

    480 GitHub stars~1.7k tokensUpdated yesterday
    Auto-check passed
  • 1c Templates Memory

    comol/ai_rules_1c

    Search reusable 1C code templates with the task text and adapt a fitting result.

    480 GitHub stars~575 tokensUpdated yesterday
    Auto-check passed

Categories

Questions about Caveman

What does Caveman do?

Terse "caveman" reply style, full technical accuracy. An agent skill from comol/ai_rules_1c. Caveman is an agent skill from comol/ai_rules_1c. Terse "caveman" reply style, full technical accuracy.

When should I use Caveman?

Caveman fits situations like: tasks that involve Refactoring.

How do I install Caveman in Claude Code?

Run `npx skills add comol/ai_rules_1c --skill caveman -a claude-code`. Or copy the skill folder (content/skills/caveman in comol/ai_rules_1c) into .claude/skills/caveman in your project. Claude Code loads it when a task matches its description.

How do I install Caveman in Codex?

Run `npx skills add comol/ai_rules_1c --skill caveman -a codex`. Or copy the skill folder (content/skills/caveman in comol/ai_rules_1c) into .agents/skills/caveman in your project. Codex loads it when a task matches its description.

Can I use Caveman 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 comol/ai_rules_1c --skill caveman -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/caveman, .gemini/skills/caveman, .github/skills/caveman and .opencode/skills/caveman in your project.

What does Caveman need to run?

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

Does Caveman 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 Caveman 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 Caveman use?

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

How many tokens does Caveman use?

About 981 tokens (SKILL.md is roughly 3.9k 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 Caveman?

Skills that share tags, products or a category with Caveman: Guidelines (akash-network/node, 1.1k stars), Component Refactoring (langflow-ai/langflow, 156k stars), Migrate Core Code to Submodules (tinyhumansai/openhuman, 41k stars) and ast-grep Structural Search (code-yeongyu/oh-my-openagent, 70k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Caveman?

comol (a GitHub user) maintains it in comol/ai_rules_1c, which has 480 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on October 6, 2026.

Source: comol/ai_rules_1c on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.