accordant-patterns

A collection of reusable patterns for Accordant specifications, which describe expected behavior for software systems. It covers state based on server responses, derived requests, errors, and HTTP integration.

In plain words
What is it for?
Use it when defining API operations, updating application state from responses, modeling request dependencies, handling errors, or integrating HTTP calls.
Why use it?
It helps you handle values that only exist after a server responds, such as IDs, timestamps, and ETags, while keeping test state consistent.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/microsoft/accordant/patterns
Any agent
npx skills add microsoft/accordant --skill patterns
Clone the repo
git clone --depth 1 https://github.com/microsoft/accordant

Made for: Claude Code, Codex.

Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,319 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00025 $0.02319
Opus 5 $0.00013 $0.01159
Sonnet 5 $0.00005 $0.00464
Haiku 4.5 $0.00003 $0.00232

Measured 2d ago against content hash 6cad55fb7f4f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

accordant-patterns 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.

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.

agent/skills/patterns/SKILL.md · 346 lines

How it starts

The opening of the file, as written. The whole thing — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Common Patterns in Accordant

This skill covers frequently-used patterns when building Accordant specs.

Response-Dependent State

When state depends on server-generated values (IDs, timestamps, ETags):

spec.Operation<CreateOrderRequest, ApiResult<Order>>("CreateOrder", (request, state) =>
{
    return Expect.That<ApiResult<Order>>(
               r => r.IsSuccess && !string.IsNullOrEmpty(r.Data.OrderId))
           .ThenState<AppState>(
               // Lambda receives response AND a pre-cloned nextState
               (ApiResult<Order> response, AppState nextState) =>
                   nextState.Orders[response.Data.OrderId] = new OrderState
                   {
                       Product = request.Product,
                       Status = OrderStatus.Created
                   },
               // Mock for test generation (no real system running)
               mock: () => new ApiResult<Order>
               {
                   Data = new Order 
                   { 
                       OrderId = Guid.NewGuid().ToString(),
                       Product = request.Product 
                   },
                   StatusCode = 201
               });
});

Why the Mock?

During test generation, there's no real server. The mock provides a plausible response so Accordant can explore the state space. At test execution, the mock is ignored — real responses are used.

Validating Captured Values

spec.Operation<string, ApiResult<Order>>("GetOrder", (orderId, state) =>
{
    if (!state.Orders.TryGetValue(orderId, out var order))
        return Expect.That<ApiResult<Order>>(r => r.IsNotFound).SameState();

    // Validate against captured state
    return Expect.That<ApiResult<Order>>(
               r => r.IsSuccess && 
                    r.Data.OrderId == orderId &&
                    r.Data.Product == order.Product &&
                    r.Data.Status == order.Status)
           .SameState();
});

Request Derivations

Read the full file on GitHub · 346 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 First seen · 346 lines · 25 tokens per session scan A 6cad55fb7f4f

Subscribe to this mod's changes

accordant-patterns is a skill published in the GitHub repository microsoft/accordant (58 stars, last pushed 14d ago), licensed MIT. It adds 25 tokens to every session and 2,319 once invoked, about $0.0001 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.

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