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 agentmods add skills/microsoft/accordant/cross-languagenpx skills add microsoft/accordant --skill cross-languagegit clone --depth 1 https://github.com/microsoft/accordantWhat 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 | $0.00066 | $0.01611 |
| Opus 5 | $0.00033 | $0.00805 |
| Sonnet 5 | $0.00013 | $0.00322 |
| Haiku 4.5 | $0.00007 | $0.00161 |
Grade A, and why
accordant-cross-language 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 3d 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 — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Testing Any System with Accordant
The spec is an oracle — it doesn't need to call your system, just see what happened. This skill covers how to use Accordant when the system under test isn't in .NET.
Decision Guide
| Situation | Approach |
|---|---|
| System has an HTTP/gRPC API | Use Accordant normally — bind operations to a .NET client. Server language doesn't matter. |
| Want to test from another language | Export test plans to JSON, execute from your runner, capture traces, validate with spec.Allows() |
| Calling native code (C/C++/Rust) from .NET | Use P/Invoke for shared libraries, COM interop, or C++/CLI |
The Two Core Capabilities
Everything else (built-in test runner, polling, request derivation) is a small convenience layer. The real value:
- Spec as oracle — given any trace (requests + responses), the spec tells you whether every response was correct given the state history
- State-graph-based test generation — the spec simulates the system, explores reachable states, and algorithms extract high-coverage test sequences
Both work from any language via trace validation and JSON export.
Trace-Based Conformance Testing
The Pattern
- System runs (any language) and produces a trace: operation name + request + response per step
- A small .NET validator walks the trace through
spec.Allows() - The spec checks each response against expected behavior given current state
Trace Format
The spec doesn't prescribe a format. A simple JSON array works:
[
{ "operation": "CreateAccount", "request": { "AccountId": "alice" }, "response": { "StatusCode": 201, "Balance": 0 } },
{ "operation": "Deposit", "request": { "AccountId": "alice", "Amount": 100 }, "response": { "StatusCode": 200, "Balance": 100 } }
]
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.
- 3d ago First seen · 192 lines · 66 tokens per session scan A 13b8551d5153
accordant-cross-language is a skill published in the GitHub repository microsoft/accordant (58 stars, last pushed 15d ago), licensed MIT. It adds 66 tokens to every session and 1,611 once invoked, about $0.0003 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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