Codebase Search
Helweg/open-codebase-index
Chooses the right retrieval tool for code questions: compact context for unfamiliar repos, direct lookup for known symbols, call graphs for relationships and grep for exhaustive matches.
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.
Install 1c Code Search
$ npx skills add comol/ai_rules_1c --skill 1c-code-search -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install comol/ai_rules_1c 1c-code-search --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/1c-code-search .claude/skills/1c-code-search && 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 "1c-code-search" agent skill from https://github.com/comol/ai_rules_1c/tree/main/content/skills/1c-code-search into .claude/skills/1c-code-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "1c-code-search", 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/1c-code-searchType 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 1c-code-search -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install comol/ai_rules_1c 1c-code-search --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/1c-code-search .agents/skills/1c-code-search && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "1c-code-search" agent skill from https://github.com/comol/ai_rules_1c/tree/main/content/skills/1c-code-search into .agents/skills/1c-code-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "1c-code-search", 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 1c-code-search -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install comol/ai_rules_1c 1c-code-search --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/1c-code-search .cursor/skills/1c-code-search && 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 "1c-code-search" agent skill from https://github.com/comol/ai_rules_1c/tree/main/content/skills/1c-code-search into .cursor/skills/1c-code-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "1c-code-search", 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/1c-code-search--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 1c-code-search -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install comol/ai_rules_1c 1c-code-search --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/1c-code-search .gemini/skills/1c-code-search && 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 "1c-code-search" agent skill from https://github.com/comol/ai_rules_1c/tree/main/content/skills/1c-code-search into .gemini/skills/1c-code-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "1c-code-search", 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 1c-code-searchInstalls 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 1c-code-search -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/1c-code-search .github/skills/1c-code-search && 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 "1c-code-search" agent skill from https://github.com/comol/ai_rules_1c/tree/main/content/skills/1c-code-search into .github/skills/1c-code-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "1c-code-search", 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 1c-code-search -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 1c-code-search --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/1c-code-search .opencode/skills/1c-code-search && 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 "1c-code-search" agent skill from https://github.com/comol/ai_rules_1c/tree/main/content/skills/1c-code-search into .opencode/skills/1c-code-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "1c-code-search", 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.
Facts
- Skill name
1c-code-search- GitHub stars
- 480
- Token cost
- ~1k tokens
- SKILL.md length
- 344 words
- Files
- 1
- Skills in repo
- 26
- Repo updated
- First seen
- Licence
- None found
At a glance
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.
- Works in 4 steps: Reformulate once when useful, using only… → Current Code search tools have no grep… → A typed server answer maps to an action… → …
- A task needs to locate
- SKILL.md covers Tools and exact arguments, Calls and Miss handling
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
1c Code Search is an agent skill from 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. Use whenever a task needs to locate or read a fragment of BSL it does not yet have a path for.
Its SKILL.md is about 1k 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 Agent Workflows, covering Codebase onboarding and MCP servers. It works with Model Context Protocol. The repository describes itself as: Rules\skills\subagens for vibecoding in 1C(bsl).
When your agent uses it
- A task needs to locate
- Read a fragment of BSL it does not yet have a path for
Example prompts
- “/1c-code-search”
Requirements
- Pre-approved tools (allowed-tools): mcp__1c-graph-metadata-mcp__search_code, mcp__1c-code-metadata-mcp__codesearch, mcp__1c-code-metadata-mcp__search_function, mcp__1c-code-metadata-mcp__get_module_structure, mcp__1c-code-metadata-mcp__bsl_scope_members, mcp__1c-code-metadata-mcp__compact_symbol
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Reformulate once when useful, using only that tool's modes and parameters (search_type, detail_level, top_k / limit, filter_type…
- Current Code search tools have no grep input. Read search_layer: "grep" as the server's internal file-scan fallback, not a request to…
- A typed server answer maps to an action by code — content/rules/mcp-policy.md → C. Server answers → actions; never probe the same gap…
- Then native Grep / Read, with the note. Reading a file already located here is normal work.
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 these tools, so the agent can use them without asking each time:
mcp__1c-graph-metadata-mcp__search_codemcp__1c-code-metadata-mcp__codesearchmcp__1c-code-metadata-mcp__search_functionmcp__1c-code-metadata-mcp__get_module_structuremcp__1c-code-metadata-mcp__bsl_scope_membersmcp__1c-code-metadata-mcp__compact_symbol
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 json).
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
1c Code Search loads about 1k tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 344 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.
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 344 words (~1,035 tokens).
“Project-source search is MCP-first within verified contour coverage: graph → mapped code-metadata → scoped native Grep after a bounded miss with a one-line fallback note. Skip uncovered lanes; never substitute a neighboring contour's index. content/rules/multi-contour-search.md selects scope and server mappings…”
- name
- 1c-code-search
- allowed-tools
- mcp__1c-graph-metadata-mcp__search_code, mcp__1c-code-metadata-mcp__codesearch, mcp__1c-code-metadata-mcp__search_function, mcp__1c-code-metadata-mcp__get_module_structure, mcp__1c-code-metadata-mcp__bsl_scope_members, mcp__1c-code-metadata-mcp__compact_symbol
- argument-hint
- <what to find> [exact | semantic]
Files
Just SKILL.md in content/skills/1c-code-search of comol/ai_rules_1c.
Open the folder on GitHubat commit 709ecac
Compare with similar skills
1c Code Search 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 |
|---|---|---|---|---|---|---|
| 1c Code Search this skillcomol/ai_rules_1c | 480 | — | ~1k | Automated safety check: Pass | None | |
| Codebase SearchHelweg/open-codebase-index | 216 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Codebase Search WorkflowHelweg/open-codebase-index | 216 | — | ~822 | Automated safety check: Pass | MIT | |
| Basemind Index ScanGoldziher/basemind | 106 | — | ~997 | Automated safety check: Warn | MIT | |
| GitHub MCPvibeeval/vibecosystem | 531 | — | ~2.3k | Automated safety check: Notes | MIT | |
| CodegraphcontextCodeGraphContext/CodeGraphContext | 4.2k | — | ~675 | Automated safety check: Notes | MIT |
Similar skills
Codebase Search Workflow
Helweg/open-codebase-index
Directs an agent to use a local codebase index for repository orientation, definition lookups, call graphs and semantic search before turning to web lookups.
Basemind Index Scan
Goldziher/basemind
Builds or refreshes the basemind code index from the command line, for when basemind reports no index or its MCP server is not running.
GitHub MCP
vibeeval/vibecosystem
GitHub MCP Server ile GitHub API erisimi. An agent skill from vibeeval/vibecosystem.
Codegraphcontext
CodeGraphContext/CodeGraphContext
Use CodeGraphContext (CGC) to index a repo into a graph DB and query it via CLI or MCP.
trace-mcp Code Navigation
nikolai-vysotskyi/trace-mcp
Routes code exploration through trace-mcp's indexed dependency graph, using symbol search, outlines, call graphs and change-impact tools instead of Read, Grep and Glob.
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Related
Works with
Categories
Questions about 1c Code Search
What does 1c Code Search do?
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. 1c Code Search is an agent skill from 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.
When should I use 1c Code Search?
1c Code Search fits situations like: A task needs to locate; read a fragment of BSL it does not yet have a path for.
How do I install 1c Code Search in Claude Code?
Run `npx skills add comol/ai_rules_1c --skill 1c-code-search -a claude-code`. Or copy the skill folder (content/skills/1c-code-search in comol/ai_rules_1c) into .claude/skills/1c-code-search in your project. Claude Code loads it when a task matches its description.
How do I install 1c Code Search in Codex?
Run `npx skills add comol/ai_rules_1c --skill 1c-code-search -a codex`. Or copy the skill folder (content/skills/1c-code-search in comol/ai_rules_1c) into .agents/skills/1c-code-search in your project. Codex loads it when a task matches its description.
Can I use 1c Code Search 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 1c-code-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/1c-code-search, .gemini/skills/1c-code-search, .github/skills/1c-code-search and .opencode/skills/1c-code-search in your project.
What does 1c Code Search need to run?
SKILL.md names no scripts, command-line tools or credentials: 1c Code Search is instructions for the agent only. Its frontmatter pre-approves these tools: mcp__1c-graph-metadata-mcp__search_code, mcp__1c-code-metadata-mcp__codesearch, mcp__1c-code-metadata-mcp__search_function, mcp__1c-code-metadata-mcp__get_module_structure, mcp__1c-code-metadata-mcp__bsl_scope_members, mcp__1c-code-metadata-mcp__compact_symbol.
Does 1c Code Search 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 1c Code Search 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 1c Code Search use?
No licence was found for 1c Code Search or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does 1c Code Search use?
About 1k tokens (SKILL.md is roughly 4.1k 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 1c Code Search?
Skills that share tags, products or a category with 1c Code Search: Codebase Search (Helweg/open-codebase-index, 216 stars), Codebase Search Workflow (Helweg/open-codebase-index, 216 stars), Basemind Index Scan (Goldziher/basemind, 106 stars) and GitHub MCP (vibeeval/vibecosystem, 531 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains 1c Code Search?
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.