Accordant is a .NET framework that turns executable behavioral specifications into generated tests for checking software implementations. It helps developers verify that real systems follow defined rules across many operations and state changes.
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.
npx skills add microsoft/accordant --skill concurrencygit clone --depth 1 https://github.com/microsoft/accordantWrote 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.
[](https://agentmods.dev/skills/microsoft/accordant/concurrency)<a href="https://agentmods.dev/skills/microsoft/accordant/concurrency"><img src="https://agentmods.dev/badge/skills/microsoft/accordant/concurrency/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.
<a href="https://agentmods.dev/skills/microsoft/accordant/concurrency"><img src="https://agentmods.dev/badge/skills/microsoft/accordant/concurrency.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Memory Poisoning · line 263 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00031 | $0.01806 |
| Opus 5.5 | $0.00012 | $0.00722 |
| Sonnet 5.5 | $0.00006 | $0.00361 |
| Haiku 4.5 | $0.00003 | $0.00181 |
Grade A, and why
accordant-concurrency 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Concurrency Testing in Accordant
Accordant can test concurrent operations to find race conditions. It runs operations simultaneously and validates that results are linearizable — explainable by some sequential ordering.
The Problem: Race Conditions
Consider a booking system where each slot can only be booked once:
Slot "9am" is available.
Concurrent requests:
- Alice: BookSlot("9am")
- Bob: BookSlot("9am")
Valid outcomes (one must fail):
✓ Alice succeeds, Bob gets Conflict
✓ Bob succeeds, Alice gets Conflict
Invalid outcome (BUG!):
✗ Both succeed — double booking!
Linearizability
The correctness criterion for concurrent operations:
Results must be explainable by some sequential ordering of the operations.
If Alice got 200 and Bob got 409 → Valid (as if Alice went first)
If both got 200 → Invalid (no sequential order explains this)
Defining the Spec
[State]
public partial class BookingState
{
public Dictionary<string, string?> Slots { get; set; } = new(); // null = available
}
var spec = new Spec<BookingState>();
spec.Operation<string, ApiResult<Slot>>("CreateSlot", (slotId, state) =>
{
if (state.Slots.ContainsKey(slotId))
return Expect.That<ApiResult<Slot>>(r => r.IsConflict).SameState();
return Expect.That<ApiResult<Slot>>(r => r.IsSuccess && r.Data.IsAvailable)
.ThenState<BookingState>(s => s.Slots[slotId] = null);
});
spec.Operation<(string SlotId, string Customer), ApiResult<Slot>>("BookSlot", (request, state) =>
{
var (slotId, customer) = request;
if (!state.Slots.TryGetValue(slotId, out var bookedBy))
return Expect.That<ApiResult<Slot>>(r => r.IsNotFound).SameState();
if (bookedBy != null)
return Expect.That<ApiResult<Slot>>(r => r.IsConflict, $"Already booked by {bookedBy}").SameState();
return Expect.That<ApiResult<Slot>>(r => r.IsSuccess && r.Data.BookedBy == customer)
.ThenState<BookingState>(s => s.Slots[slotId] = customer);
});
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.
- 1mo ago First seen · 270 lines · 31 tokens per session scan A d9d023c7a659
accordant-concurrency is a skill published in the GitHub repository microsoft/accordant (69 stars, last pushed 1mo ago), licensed MIT. It adds 31 tokens to every session and 1,806 once invoked, about $0.0001 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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