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/managedcode/dotnet-skills/orleansnpx skills add managedcode/dotnet-skills --skill orleansgit clone --depth 1 https://github.com/managedcode/dotnet-skillsWhat 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 | $0.00093 | $0.03494 |
| Opus 5 | $0.00046 | $0.01747 |
| Sonnet 5 | $0.00019 | $0.00699 |
| Haiku 4.5 | $0.00009 | $0.00349 |
Grade A, and why
orleans 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 yesterday.
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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Microsoft Orleans
Start With Purpose
Do not begin with an Orleans API. First state:
- the business identity that owns the behavior;
- the invariant and what must survive activation or cluster failure;
- the required consistency, query shape, acknowledgement, durability, replay, fan-out, and timing.
Then select the smallest Orleans primitive whose guarantees match those requirements. Reject Orleans when the problem is primarily shared-memory computation, a finite batch, relational querying, or global coordination with few independent entities.
Inspect package versions for version-sensitive work. Orleans 10.3.1 ships Microsoft.Orleans.DurableJobs* and Microsoft.Orleans.Journaling* as 10.3.1-alpha.1; treat them as experimental until that status changes.
Orleans 10.3 changes three upgrade boundaries: Newtonsoft storage now enforces the Orleans type allow-list, RPC telemetry keys changed, and custom grain-context activators must apply configurators before construction. Prefer generated/allowed types over global permissive JSON, and update persisted-state tests, dashboards, and custom activators together. The release also adds streaming, checkpoint, journal, transaction, file-storage, and System.Text.Json providers; select them by guarantees. 10.3.1 services analyzer contract identities.
The August 2026 overview highlights the built-in dashboard and stable Redis providers. Keep production telemetry explicit, and select Redis only when its guarantees match the workload.
Mental Model
- A grain is a virtual actor with stable identity, behavior, and optional state, not a process, row, DTO, controller, or background job.
- A grain reference is a location-transparent address. Getting a reference does not create a durable record or prove that an activation exists.
- An activation is an ephemeral in-memory execution instance. Orleans creates, places, moves, deactivates, and recreates it. Never equate activation lifetime with entity lifetime.
- A normal grain has at most one activation in the cluster by default and processes turns one at a time. This makes the grain a natural owner of per-identity invariants.
- A silo hosts activations. Silos form a cluster; external clients or a co-hosted
IGrainFactorycall grains. - Calls are asynchronous messages even when they look like C# method calls. Network failure, timeout, serialization, retries, and duplicate side effects still matter.
- A grain can model a digital twin when its identity and behavior map to a real or domain entity; that is a use case, not every grain's definition.
- Orleans gives logical ownership and turn-based execution. It does not make external side effects transactional, turn arbitrary data into a queryable database, or provide exactly-once execution by default.
What ships with it
15 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- manifest.json 271 B
- references/anti-patterns.md 16 KB
- references/configuration-api.md 27 KB
- references/examples.md 4.2 KB
- references/grain-api.md 24 KB
- references/grains.md 8.2 KB
- references/hosting.md 8.0 KB
- references/implementation.md 20 KB
- references/official-docs-index.md 18 KB
- references/patterns.md 20 KB
- references/persistence-api.md 17 KB
- references/scheduling-and-services.md 14 KB
- references/serialization-api.md 7.5 KB
- references/streaming-api.md 11 KB
- references/testing-patterns.md 8.0 KB
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.
- yesterday First seen · 158 lines · 93 tokens per session scan A a5d5e494e4b0
orleans is a skill published in the GitHub repository managedcode/dotnet-skills (477 stars, last pushed 2d ago), licensed MIT. It adds 93 tokens to every session and 3,494 once invoked, about $0.0005 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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