MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Read and write 1C binaries without the platform: an ordinary form Ext/Form.bin via the unpackordinaryform / buildordinaryform MCP tools, a whole CF / CFE / EPF via the v8unpack CLI.
$ npx skills add comol/ai_rules_1c --skill v8unpack-cf -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install comol/ai_rules_1c v8unpack-cf --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/comol/ai_rules_1c.git skills-src && mkdir -p .claude/skills && cp -r skills-src/content/skills/v8unpack-cf .claude/skills/v8unpack-cf && rm -rf skills-srcUse ~/.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/
Install the "v8unpack-cf" agent skill from https://github.com/comol/ai_rules_1c/tree/main/content/skills/v8unpack-cf into .claude/skills/v8unpack-cf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "v8unpack-cf", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/comol/ai_rules_1c/tree/main/content/skills/v8unpack-cfType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add comol/ai_rules_1c --skill v8unpack-cf -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install comol/ai_rules_1c v8unpack-cf --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/comol/ai_rules_1c.git skills-src && mkdir -p .agents/skills && cp -r skills-src/content/skills/v8unpack-cf .agents/skills/v8unpack-cf && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "v8unpack-cf" agent skill from https://github.com/comol/ai_rules_1c/tree/main/content/skills/v8unpack-cf into .agents/skills/v8unpack-cf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "v8unpack-cf", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add comol/ai_rules_1c --skill v8unpack-cf -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install comol/ai_rules_1c v8unpack-cf --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/comol/ai_rules_1c.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/content/skills/v8unpack-cf .cursor/skills/v8unpack-cf && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "v8unpack-cf" agent skill from https://github.com/comol/ai_rules_1c/tree/main/content/skills/v8unpack-cf into .cursor/skills/v8unpack-cf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "v8unpack-cf", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/comol/ai_rules_1c.git --path content/skills/v8unpack-cf--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add comol/ai_rules_1c --skill v8unpack-cf -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install comol/ai_rules_1c v8unpack-cf --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/comol/ai_rules_1c.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/content/skills/v8unpack-cf .gemini/skills/v8unpack-cf && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "v8unpack-cf" agent skill from https://github.com/comol/ai_rules_1c/tree/main/content/skills/v8unpack-cf into .gemini/skills/v8unpack-cf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "v8unpack-cf", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install comol/ai_rules_1c v8unpack-cfInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add comol/ai_rules_1c --skill v8unpack-cf -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/comol/ai_rules_1c.git skills-src && mkdir -p .github/skills && cp -r skills-src/content/skills/v8unpack-cf .github/skills/v8unpack-cf && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "v8unpack-cf" agent skill from https://github.com/comol/ai_rules_1c/tree/main/content/skills/v8unpack-cf into .github/skills/v8unpack-cf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "v8unpack-cf", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add comol/ai_rules_1c --skill v8unpack-cf -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install comol/ai_rules_1c v8unpack-cf --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/comol/ai_rules_1c.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/content/skills/v8unpack-cf .opencode/skills/v8unpack-cf && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "v8unpack-cf" agent skill from https://github.com/comol/ai_rules_1c/tree/main/content/skills/v8unpack-cf into .opencode/skills/v8unpack-cf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "v8unpack-cf", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
v8unpack-cfRead and write 1C binaries without the platform: an ordinary form Ext/Form.bin via the unpackordinaryform / buildordinaryform MCP tools, a whole CF / CFE / EPF via the v8unpack CLI.
V8unpack Cf is an agent skill from comol/ai_rules_1c. Read and write 1C binaries without the platform: an ordinary form Ext/Form.bin via the unpackordinaryform / buildordinaryform MCP tools, a whole CF / CFE / EPF via the v8unpack CLI. Use for Form.bin, обычные формы, or a binary with no infobase / Designer / ibcmd.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `docs/ordinary-forms.md` and `docs/whole-binaries.md`).
It sits in Agent Workflows, covering MCP servers. It works with Python. The repository describes itself as: Rules\skills\subagens for vibecoding in 1C(bsl).
Read from SKILL.md and the folder at commit 5700f54. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
pippythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
V8unpack Cf loads about 1.2k tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 562 words of instructions outside code blocks.
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.
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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 562 words (~1,195 tokens).
“Two workflows live here, and they are not variants of one thing:”
SKILL.md and 2 other files in content/skills/v8unpack-cf of comol/ai_rules_1c.
Open the folder on GitHubat commit 5700f54
V8unpack Cf 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| V8unpack Cf this skillcomol/ai_rules_1c | 480 | — | ~1.2k | Automated safety check: Pass | None | |
| MCP Server Builderanthropics/skills | 180k | 64 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Fastmcp Client CLIPrefectHQ/fastmcp | 28k | 1 repos | ~823 | Automated safety check: Pass | Apache-2.0 | |
| MemPalace Setup and OperationMemPalace/mempalace | 59k | — | ~2.2k | Automated safety check: Pass | MIT | |
| FastmcpTommy-yw/RunbookHermes | 546 | 4 repos | ~2.1k | Automated safety check: Pass | MIT |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
PrefectHQ/fastmcp
Query and invoke tools on MCP servers using fastmcp list and fastmcp call.
MemPalace/mempalace
Installs and configures MemPalace as a private local palace, a shared-brain hub or a client of an existing hub, including MCP registration and version-correct initialization.
Tommy-yw/RunbookHermes
Build, test, inspect, install, and deploy MCP servers with FastMCP in Python.
PrefectHQ/fastmcp
Write or revise a page under docs/ for gofastmcp.com. An agent skill from PrefectHQ/fastmcp.
comol/ai_rules_1c
Overlay a numbered grid on an image to determine column proportions for layout generation.
comol/ai_rules_1c
Convert a Markdown file to DOCX (Word). An agent skill from comol/ai_rules_1c.
comol/ai_rules_1c
Transcribe video and audio files via Gemini API. An agent skill from comol/ai_rules_1c.
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.
comol/ai_rules_1c
1C configuration repository (хранилище) — status, history, diff, lock, update, commit, unlock, dump; lock before edit, commit after verify.
comol/ai_rules_1c
Search reusable 1C code templates with the task text and adapt a fitting result.
Works with
Categories
Read and write 1C binaries without the platform: an ordinary form Ext/Form.bin via the unpackordinaryform / buildordinaryform MCP tools, a whole CF / CFE / EPF via the v8unpack CLI. V8unpack Cf is an agent skill from comol/ai_rules_1c.bin via the unpackordinaryform / buildordinaryform MCP tools, a whole CF / CFE / EPF via the v8unpack CLI.
V8unpack Cf fits situations like: A binary with no infobase / Designer / ibcmd; tasks that involve MCP servers.
Run `npx skills add comol/ai_rules_1c --skill v8unpack-cf -a claude-code`. Or copy the skill folder (content/skills/v8unpack-cf in comol/ai_rules_1c) into .claude/skills/v8unpack-cf in your project. Claude Code loads it when a task matches its description.
Run `npx skills add comol/ai_rules_1c --skill v8unpack-cf -a codex`. Or copy the skill folder (content/skills/v8unpack-cf in comol/ai_rules_1c) into .agents/skills/v8unpack-cf in your project. Codex loads it when a task matches its description.
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 v8unpack-cf -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/v8unpack-cf, .gemini/skills/v8unpack-cf, .github/skills/v8unpack-cf and .opencode/skills/v8unpack-cf in your project.
Going by SKILL.md and its folder, V8unpack Cf needs the command-line tools its instructions call (pip and python). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
No licence was found for V8unpack Cf or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with V8unpack Cf: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), Fastmcp Client CLI (PrefectHQ/fastmcp, 28k stars) and MemPalace Setup and Operation (MemPalace/mempalace, 59k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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 7, 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.