cosmosdb-agent-kit: Instructions file for GitHub Copilot

.github/instructions/code-review.instructions.md

cosmosdb-agent-kit code-review.instructions.md is an instructions file for GitHub Copilot from AzureCosmosDB/cosmosdb-agent-kit. It costs 897 tokens per session, scanned A, original, MIT.

A code-review checklist for the Azure Cosmos DB agent-kit repository. It defines which issues block a merge, which are recommendations, and what files and fields submissions must contain.

In plain words
What is it for?
Use it to review pull requests and check rule files, build-related changes, evaluation files, and test-scenario definitions in that repository.
Why use it?
It gives reviewers and contributors the same rules for judging changes. This reduces incomplete rule files, evaluation tasks, and test scenarios.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file. Also seen: mentions AGENTS.md.

This is AzureCosmosDB/cosmosdb-agent-kit's own configuration. It tells GitHub Copilot how to work on cosmosdb-agent-kit 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 cosmosdb-agent-kit configures โ†’

Reuse

Borrowing it

Nothing to install: this file belongs to AzureCosmosDB/cosmosdb-agent-kit. 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/AzureCosmosDB/cosmosdb-agent-kit/main/.github/instructions/code-review.instructions.md
Clone the repo
git clone --depth 1 https://github.com/AzureCosmosDB/cosmosdb-agent-kit

Made for: GitHub Copilot.

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 cosmosdb-agent-kit code-review.instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/azurecosmosdb/cosmosdb-agent-kit/code-review/github.svg)](https://agentmods.dev/instructions/azurecosmosdb/cosmosdb-agent-kit/code-review)
Your own site
<a href="https://agentmods.dev/instructions/azurecosmosdb/cosmosdb-agent-kit/code-review"><img src="https://agentmods.dev/badge/instructions/azurecosmosdb/cosmosdb-agent-kit/code-review/github.svg" alt="Measured on agentmods" height="20"></a>

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

agentmods 80ร—15 button for cosmosdb-agent-kit code-review.instructions.md

Your own site ยท 80ร—15
<a href="https://agentmods.dev/instructions/azurecosmosdb/cosmosdb-agent-kit/code-review"><img src="https://agentmods.dev/badge/instructions/azurecosmosdb/cosmosdb-agent-kit/code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 897 This file is loaded in full into every session.
When invoked 897 The same file โ€” it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file โ€” 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 $0.00897 $0.00897
Opus 5.5 $0.00359 $0.00359
Sonnet 5.5 $0.00179 $0.00179
Haiku 4.5 $0.00090 $0.00090

Measured 2d ago against content hash d56b1fedbc0d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cosmosdb-agent-kit code-review.instructions.md scanned grade A with 0 findings against 26 rules in 11 categories โ€” prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency โ€” measured 2d 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.

.github/instructions/code-review.instructions.md ยท 76 lines

How it starts

The opening of the file, as written. The whole thing โ€” 76 lines โ€” stays where its author put it; the contents beside it link to each section on GitHub.

When performing a code review, apply these checks for the cosmosdb-agent-kit repository.

The full checklist, field requirements, and per-section details live in .github/skills/code-review/checklist.md โ€” read that file for the complete rules. This file summarizes the key gates.

Severity Tiers

  • ๐Ÿ”ด Blocking: Must fix before merge.
  • ๐ŸŸก Recommendation: Should fix.
  • ๐ŸŸข Suggestion: Nice to have.

Key Gates (๐Ÿ”ด Blocking)

Rule files (skills/*/rules/*.md):

  • Frontmatter: title, impact (CRITICAL|HIGH|MEDIUM-HIGH|MEDIUM|LOW-MEDIUM|LOW), impactDescription, tags
  • Body: **Incorrect + **Correct sections with fenced code blocks
  • Filename: {prefix}-{description}.md (model-, partition-, query-, sdk-, index-, throughput-, global-, monitoring-, pattern-, tooling-, vector-)

Build:

  • AGENTS.md is generated on demand (npm run build) and is not committed; do not require it in rule PRs

Eval tasks (evals/**/*.yaml):

  • Vally specs require name and non-empty stimuli; each stimulus needs a unique name, tags, prompt (or turns), and meaningful graders
  • Skill evaluations must check activation (or non-activation) and response correctness, not only completion

Test scenarios (testing-v2/scenarios/):

  • api-contract.yaml: camelCase fields, health: section required
  • tests/conftest.py: deterministic data only โ€” no uuid4(), random, faker

Scripts: Changes to compile.js/validate.js must not break existing rules.

Workflows: No hardcoded secrets. Use ${{ secrets.* }} or ${{ github.token }}.

General: No secrets, API keys, or connection strings anywhere.

Rule Provenance (๐Ÿ”ด Blocking)

Rules in this repo are created by the automated evaluation loop (LLM reviews test failures and proposes rules). Flag rules that show signs of LLM confabulation rather than verified Cosmos DB knowledge:

  • ๐Ÿ”ด Claims specific RU costs, internal limits, or SDK implementation details without a verifiable documentation link
  • ๐Ÿ”ด Attributes a test failure to a Cosmos DB "best practice" that may actually be a framework bug, test misconfiguration, or code generation error
  • ๐Ÿ”ด Invents SDK method signatures, parameters, or behaviors that don't exist in official SDK docs
  • ๐Ÿ”ด Presents a scenario-specific workaround as a universal rule (e.g., "always do X" when X only applies to the exact test that failed)
  • ๐ŸŸก Rule has no Reference link to official Microsoft documentation โ€” high hallucination risk
  • ๐ŸŸก Rule's Incorrect/Correct examples look synthetic rather than drawn from real SDK usage patterns

Read the full file on GitHub ยท 76 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. 2d ago Changed ยท +1 lines ยท +37 tokens per session d56b1fedbc0d
  2. 2mo ago First seen ยท 75 lines ยท 860 tokens per session scan A cd6bfa3816f8

Subscribe to this mod's changes

cosmosdb-agent-kit code-review.instructions.md is an instructions file published in the GitHub repository AzureCosmosDB/cosmosdb-agent-kit (61 stars, last pushed 2d ago), licensed MIT. It adds 897 tokens to every session, about $0.0036 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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