dotnet-managedcode-orleans-graph

dotnet-managedcode-orleans-graph is a skill for Claude Code, Codex from Postpartum-genushyacinthus29/dotnet-skills. It costs 53 tokens per session (821 once invoked), scanned A, original, MIT.

A .NET guide for modeling graph relationships in Orleans, a framework for distributed applications. It represents nodes as Orleans grains, connections as edges, and relationship queries as traversals.

In plain words
What is it for?
Use it for node-to-node relationships, directed or undirected edges, neighbor lookup, edge checks, removal, and traversal logic in an Orleans system.
Why use it?
It helps determine whether graph modeling fits the data and provides a clear way to manage connections across distributed grains.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for node-to-node relationships, directed or undirected edges, neighbor lookup, edge checks, removal, and traversal logic in an Orleans system.

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Install with agentmods
npx agentmods add skills/postpartum-genushyacinthus29/dotnet-skills/dotnet-managedcode-orleans-graph
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.

Any agent
npx skills add Postpartum-genushyacinthus29/dotnet-skills --skill dotnet-managedcode-orleans-graph
Clone the repo
git clone --depth 1 https://github.com/Postpartum-genushyacinthus29/dotnet-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

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README.md
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Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 821 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00053 $0.00821
Opus 5 $0.00026 $0.00411
Sonnet 5 $0.00011 $0.00164
Haiku 4.5 $0.00005 $0.00082

Measured 10d ago against content hash 99ac8da98175, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

dotnet-managedcode-orleans-graph 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 10d 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.

skills/dotnet-managedcode-orleans-graph/SKILL.md · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ManagedCode.Orleans.Graph

Trigger On

  • integrating ManagedCode.Orleans.Graph into an Orleans-based system
  • modeling graph relationships, edges, or traversal behavior with Orleans grains
  • reviewing graph-oriented distributed workflows on top of Orleans
  • deciding whether a graph abstraction is the right fit vs relational modeling

Workflow

  1. Install the library:
    dotnet add package ManagedCode.Orleans.Graph
    
  2. Confirm the application has a real graph problem — node-to-node relationships, directed/undirected edges, or traversal queries. If the data is tabular or hierarchical, prefer standard Orleans grain patterns instead.
  3. Model graph entities as grains:
    • nodes map to grain identities
    • edges represent relationships between grains
    • traversal operations query across grain boundaries
  4. Implement graph operations:
    // Define a graph grain interface
    public interface IGraphGrain : IGrainWithStringKey
    {
        Task AddEdge(string targetId, string edgeType);
        Task<IReadOnlyList<string>> GetNeighbors(string edgeType);
        Task<bool> HasEdge(string targetId, string edgeType);
        Task RemoveEdge(string targetId, string edgeType);
    }
    
  5. Keep Orleans runtime concerns explicit:
    • grain identity determines the node identity
    • persistence provider stores edge state
    • grain activation lifecycle affects traversal latency
  6. Add traversal logic for multi-hop queries:
    // Breadth-first traversal across grains
    public async Task<IReadOnlyList<string>> TraverseAsync(
        IGrainFactory grainFactory, string startId, string edgeType, int maxDepth)
    {
        var visited = new HashSet<string>();
        var queue = new Queue<(string Id, int Depth)>();
        queue.Enqueue((startId, 0));
    
        while (queue.Count > 0)
        {
            var (currentId, depth) = queue.Dequeue();
            if (!visited.Add(currentId) || depth >= maxDepth) continue;
    
            var grain = grainFactory.GetGrain<IGraphGrain>(currentId);
            var neighbors = await grain.GetNeighbors(edgeType);
            foreach (var neighbor in neighbors)
                queue.Enqueue((neighbor, depth + 1));
        }
        return visited.ToList();
    }
    
  7. Validate that traversal and relationship operations work against real Orleans clusters, not only unit tests with mock grain factories.

Read the full file on GitHub · 94 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. 10d ago First seen · 94 lines · 53 tokens per session scan A 99ac8da98175

Subscribe to this mod's changes

dotnet-managedcode-orleans-graph is a skill published in the GitHub repository Postpartum-genushyacinthus29/dotnet-skills (10 stars, last pushed today), licensed MIT. It adds 53 tokens to every session and 821 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 2026-08-31.

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