1c-metadata-manage

1c-metadata-manage is a skill for Claude Code, Codex from comol/ai_rules_1c. It costs 88 tokens per session (3,806 once invoked), scanned A, original, no licence file.

A 1C development tool for creating, editing, checking, and removing configuration objects. These include catalogs, documents, registers, forms, roles, layouts, extensions, and other 1C configuration parts.

In plain words
What is it for?
Use it to manage 1C metadata such as catalogs, documents, registers, enums, forms, spreadsheet layouts, roles, external processors, extensions, databases, and interfaces.
Why use it?
It provides one place to manage the many structured parts of a 1C application.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to manage 1C metadata such as catalogs, documents, registers, enums, forms, spreadsheet layouts, roles, external processors, extensions, databases, and interfaces.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/comol/ai_rules_1c/1c-metadata-manage
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add comol/ai_rules_1c --skill 1c-metadata-manage
Clone the repo
git clone --depth 1 https://github.com/comol/ai_rules_1c

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for 1c-metadata-manage

README.md
[![agentmods](https://agentmods.dev/badge/skills/comol/ai_rules_1c/1c-metadata-manage/github.svg)](https://agentmods.dev/skills/comol/ai_rules_1c/1c-metadata-manage)
Your own site
<a href="https://agentmods.dev/skills/comol/ai_rules_1c/1c-metadata-manage"><img src="https://agentmods.dev/badge/skills/comol/ai_rules_1c/1c-metadata-manage/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for 1c-metadata-manage

Your own site · 80×15
<a href="https://agentmods.dev/skills/comol/ai_rules_1c/1c-metadata-manage"><img src="https://agentmods.dev/badge/skills/comol/ai_rules_1c/1c-metadata-manage.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,806 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00088 $0.03806
Opus 5 $0.00044 $0.01903
Sonnet 5 $0.00018 $0.00761
Haiku 4.5 $0.00009 $0.00381

Measured 2d ago against content hash f5a143d23698, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

1c-metadata-manage scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

The scan reads SKILL.md. This mod also ships 31 executable files (tools/_common/dev_env.py, tools/_common/DevEnv.ps1, tools/1c-cf-manage/scripts/cf-edit.ps1, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

content/skills/1c-metadata-manage/SKILL.md · 117 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago Changed · +25 lines f5a143d23698
  2. 9d ago First seen · 92 lines · 88 tokens per session scan A f18622b163a7

Subscribe to this mod's changes

1c-metadata-manage is a skill published in the GitHub repository comol/ai_rules_1c (452 stars, last pushed today), with no licence file. It adds 88 tokens to every session and 3,806 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

create-pr

Creates a GitHub PR with a Linear-ticket-prefixed title and a decision-led, narrative description for prisma-next. Use when the user wants to create a pull request, open a PR, or submit changes for review.

prisma/orm · 47 tokens

schema-exploration

Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.

langchain-ai/deepagents · 57 tokens

ha-data-stores

Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…

shiwenwen/hope-agent · 115 tokens

supabase

Supabase / PostgREST Row-Level-Security playbook — pull the anon (or leaked servicerole) key out of the frontend JS, map tables from the auto-generated OpenAPI spec, test anonymous RLS READ disclosures (PII/secret leaks), and anonymous RLS WRITE abuse (insert/update/delete — e.g. forging…

PentesterFlow/agent · 120 tokens

nornicdb-cypher-queries

Pick fast, predictable Cypher query shapes in NornicDB — point lookups, batch retrieval, pagination, search, traversal, batched UNWIND/MERGE writes, cleanup, multi-tenant isolation. Use when writing or reviewing Cypher whose latency or throughput matters; maps user intent to the executor's hot-path query templates.

orneryd/NornicDB · 79 tokens

dsql

Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, diagnose cluster performance, load data, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL and PostgreSQL-to-DSQL schema conversion, foreign key…

awslabs/agent-plugins · 229 tokens