graph-theory-and-algorithms

graph-theory-and-algorithms is a skill for Claude Code, Codex from hamzabellouch/agent-skills. It costs 61 tokens per session (543 once invoked), scanned A, original, MIT.

A reference for graph theory and algorithms, the study of connected objects and the procedures used to work with them. It covers paths, trees, matching, network flow, shortest paths, and algorithm complexity.

In plain words
What is it for?
Use it for graph problems, network analysis, shortest paths, spanning trees, matching, flow, connectivity, and algorithm design.
Why use it?
It helps turn network-shaped problems into precise models and choose methods for finding routes, connections, assignments, or groups.

Skill for Claude CodeCodex

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

Good fit Use it for graph problems, network analysis, shortest paths, spanning trees, matching, flow, connectivity, and algorithm design.

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Install with agentmods
npx agentmods add skills/hamzabellouch/agent-skills/graph-theory-and-algorithms
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 hamzabellouch/agent-skills --skill graph-theory-and-algorithms
Clone the repo
git clone --depth 1 https://github.com/hamzabellouch/agent-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for graph-theory-and-algorithms

README.md
[![agentmods](https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/graph-theory-and-algorithms/github.svg)](https://agentmods.dev/skills/hamzabellouch/agent-skills/graph-theory-and-algorithms)
Your own site
<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/graph-theory-and-algorithms"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/graph-theory-and-algorithms/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.

agentmods 80×15 button for graph-theory-and-algorithms

Your own site · 80×15
<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/graph-theory-and-algorithms"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/graph-theory-and-algorithms.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 543 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.
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 $0.00061 $0.00543
Opus 5.5 $0.00024 $0.00217
Sonnet 5.5 $0.00012 $0.00109
Haiku 4.5 $0.00006 $0.00054

Measured today against content hash d39ccc58036c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

graph-theory-and-algorithms 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 today.

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.

Math/Math_Master_Library/graph-theory-and-algorithms/SKILL.md · 28 lines

What it actually says

Graph Theory & Algorithms

Basics

  • Graph G = (V,E); degree sum = 2|E| (handshake); paths, cycles, connected components; bipartite iff no odd cycle; trees: connected acyclic, |E| = |V| - 1; forests; rooted trees.
  • Euler: circuit exists iff connected and all degrees even; Hamiltonian cycles (NP-complete; Dirac and Ore conditions).
  • Planarity: Euler's formula V - E + F = 2; E <= 3V - 6; Kuratowski (K5, K3,3 minors); Four Color Theorem; chromatic number chi(G) <= Delta + 1, Brooks theorem; chromatic polynomial.
  • Matchings: Hall's theorem; Konig (bipartite max matching = min vertex cover); Tutte; Hungarian algorithm for assignment.
  • Connectivity: Menger's theorem; max-flow min-cut (Ford-Fulkerson, Edmonds-Karp, Dinic).
  • Spectral: adjacency and Laplacian eigenvalues; number of spanning trees via Kirchhoff's matrix-tree theorem; expanders; random walks.

Algorithms

  • BFS/DFS O(V+E); topological sort; strongly connected components (Tarjan/Kosaraju).
  • Shortest paths: Dijkstra (non-negative weights) O((V+E) log V), Bellman-Ford (negative edges), Floyd-Warshall O(V^3), A*.
  • Minimum spanning tree: Kruskal (union-find) and Prim.
  • Network flow, bipartite matching, 2-SAT, LCA.
  • Complexity: P, NP, NP-complete (SAT, 3-coloring, clique, vertex cover, TSP decision, Hamiltonian path); reductions; approximation algorithms (2-approx vertex cover); P vs NP open.

Random & extremal graphs

Erdos-Renyi G(n,p) threshold phenomena (connectivity at p = ln n/n); small-world and scale-free networks; Turan; Ramsey; graph limits.

Proof/solution pattern

Pick the right invariant (degree, parity, coloring), use induction on vertices/edges, double count edges, apply extremal choice (longest path), or reduce to a known algorithm.

Files

What ships with it

1 file 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.

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. today First seen · 28 lines · 61 tokens per session scan A d39ccc58036c

Subscribe to this mod's changes

graph-theory-and-algorithms is a skill published in the GitHub repository hamzabellouch/agent-skills (8 stars, last pushed today), licensed MIT. It adds 61 tokens to every session and 543 once invoked, about $0.0002 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 2026-10-17.

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