clickadvisor: Instructions file for Codex

AGENTS.md

clickadvisor AGENTS.md is an instructions file for Codex, OpenCode from olyannaa/clickadvisor. It costs 783 tokens per session, scanned A, original, MIT.

Um guia de trabalho para agentes que desenvolvem o ClickAdvisor, uma ferramenta local para analisar consultas SQL do ClickHouse, um banco de dados voltado a grandes volumes de dados.

In plain words
What is it for?
Serve para orientar a leitura da documentação, a criação e o registro de regras de análise, o tratamento de contexto ausente e as verificações antes de modificar o repositório.
Why use it?
Impede que recomendações de produção dependam apenas de texto gerado por inteligência artificial e exige que regras, documentação e contexto sejam conferidos no próprio projeto.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is olyannaa/clickadvisor's own configuration. It tells Codex and OpenCode how to work on clickadvisor itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything clickadvisor configures →

Reuse

Borrowing it

Nothing to install: this file belongs to olyannaa/clickadvisor. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/olyannaa/clickadvisor/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/olyannaa/clickadvisor

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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Per session 783 This file is loaded in full into every session.
When invoked 783 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original 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 $0.00783 $0.00783
Opus 5.5 $0.00313 $0.00313
Sonnet 5.5 $0.00157 $0.00157
Haiku 4.5 $0.00078 $0.00078

Measured 2mo ago against content hash dc8e40a5619a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

clickadvisor AGENTS.md 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 2mo ago.

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.

AGENTS.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Правила Работы Агентов С Репозиторием

Этот файл описывает, как AI-агенты должны работать с ClickAdvisor.

Базовый принцип

ClickAdvisor — local-first анализатор ClickHouse SQL. Доверенный runtime path: детерминированный rule engine, ML evaluation surface и локальный retrieval. Generative LLM не должен становиться источником production-рекомендаций внутри CLI/MCP.

Перед изменениями

  • Начинай с чтения README.md, docs/ARCHITECTURE.md, docs/evaluation.md и релевантных файлов из docs/rules/.
  • Проверяй текущее состояние через git status -sb.
  • Не перетирай пользовательские изменения и не используй destructive git commands без явной просьбы.
  • Для поиска используй rg / rg --files.

Правила каталога

  • У каждого runtime rule должен быть card в docs/rules/cards/.
  • У каждого card со статусом implemented должна быть зарегистрированная реализация в clickadvisor/rules/registry.py.
  • Нельзя добавлять duplicate rule_id.
  • Если правилу нужен schema/environment/explain context, отсутствие контекста должно давать None, а не догадочную находку.
  • Tier 2 правила являются advisory. Не добавляй automatic rewrite, если card явно не содержит безопасный шаблон.
  • Environment rules должны читать только QueryContext.environment и дополнительные доступные context-поля.

Тесты и benchmark

Для нового или измененного правила нужны прямые unit-тесты:

  • positive case;
  • no-trigger или no-context case;
  • проверка ожидаемого rule_id.

Если правило можно представить в benchmark schema, добавь case в benchmark/cases/synthetic_expanded/.

Benchmark labels должны отражать реальные multi-label overlaps. В strict mode не должно быть неожиданных FP/FN.

Документация

  • Основная документация репозитория ведется на русском языке.
  • README должен соответствовать фактическим счетчикам rules/tests/benchmark.
  • Не заявляй speedup, production LLM, query replay или автоматические DDL изменения, если этого нет в коде и проверках.
  • Enterprise/security формулировки должны подчеркивать zero data egress: SQL, DDL, EXPLAIN и environment context не отправляются во внешние LLM/API.

Read the full file on GitHub · 87 lines

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. 2mo ago First seen · 87 lines · 783 tokens per session scan A dc8e40a5619a

Subscribe to this mod's changes

clickadvisor AGENTS.md is an instructions file published in the GitHub repository olyannaa/clickadvisor (18 stars, last pushed 6d ago), licensed MIT. It adds 783 tokens to every session, about $0.0031 per session on Opus 5.5. 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.

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