data-structures

data-structures is a skill for Claude Code, Codex from metarhia/metaskills. It costs 84 tokens per session (3,591 once invoked), scanned A, original, MIT.

Implementations of custom JavaScript data structures such as queues, heaps, tries, graphs, linked lists, and caches. These structures are alternatives to the language’s standard collections when specific operations or behavior matter.

In plain words
What is it for?
Use it to build fast queues or stacks, priority queues, autocomplete tries, graph algorithms, least-recently-used caches, persistent lists, or other specialized collections.
Why use it?
It helps when built-in arrays, objects, maps, or sets do not provide the needed operation speed or data-sharing behavior.

Skill for Claude CodeCodex

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

Good fit Use it to build fast queues or stacks, priority queues, autocomplete tries, graph algorithms, least-recently-used caches, persistent lists, or other specialized collections.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/metarhia/metaskills/data-structures
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 metarhia/metaskills --skill data-structures
Clone the repo
git clone --depth 1 https://github.com/metarhia/metaskills

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 data-structures

README.md
[![agentmods](https://agentmods.dev/badge/skills/metarhia/metaskills/data-structures/github.svg)](https://agentmods.dev/skills/metarhia/metaskills/data-structures)
Your own site
<a href="https://agentmods.dev/skills/metarhia/metaskills/data-structures"><img src="https://agentmods.dev/badge/skills/metarhia/metaskills/data-structures/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 data-structures

Your own site · 80×15
<a href="https://agentmods.dev/skills/metarhia/metaskills/data-structures"><img src="https://agentmods.dev/badge/skills/metarhia/metaskills/data-structures.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,591 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 $0.00084 $0.03591
Opus 5.5 $0.00034 $0.01436
Sonnet 5.5 $0.00017 $0.00718
Haiku 4.5 $0.00008 $0.00359

Measured 1mo ago against content hash 27364c6c35e4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

data-structures 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.

skills/data-structures/SKILL.md · 516 lines

How it starts

The opening of the file, as written. The whole thing — 516 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Custom Data Structures (JavaScript)

Complexity and code characteristics

Choose a structure for the property you need to control — not only for speed.

Big-O (typical; n = size, k = key/word length):

  • Singly-linked push/pop at head: O(1); search / index: O(n)
  • Doubly-linked append/prepend / splice at known node: O(1); index: O(n) (nearer-end walk helps)
  • Cons prepend / uncons: O(1); reverse / map / random access: O(n); tails share structure
  • CircularBuffer / Queue / Deque / Stack ends: amortized O(1); grow rare O(n); never hot Array.shift
  • UnrolledList enqueue/dequeue: amortized O(1); better locality than per-item nodes; pool cuts allocs
  • BST insert/search: O(log n) balanced, O(n) skewed; in-order: O(n)
  • Binary heap push/pop: O(log n); peek: O(1)
  • Trie insert/has: O(k); autocomplete: O(matches × k)
  • Adjacency-list addEdge: O(1); BFS/DFS: O(V + E)
  • LRU (Map) get/set/evict: O(1); G-Counter inc O(1), merge O(replicas); Pool capture O(1) amortized
  • Prefer the structure whose hot operation is O(1) or O(log n); measure before optimizing rare paths

Readability and semantics:

  • Name by role: pending (Queue), frontier (Deque), undo (Stack) — not buffer1
  • Type states intent: ring/unrolled = throughput; cons = persistent; heap = priority; trie = prefix
  • Small public API (enqueue/dequeue) — do not expose nodes or buffers

Stability and contracts:

  • Return copies or iterators; document live vs snapshot and iteration order
  • Cap growth (capacity, pool size, LRU max); unbounded queues/caches are operability bugs
  • Immutable Cons/Struct: updates are new values (prepend, fork); mutable lists document aliasing

Testability:

  • Assert on contents ([...q], toArray(), size), not private fields; keep Symbol.iterator
  • Deterministic fixtures; inject clocks/timeouts for Pool waiters

Encapsulation and cost:

  • Hide representation so callers survive swaps (array → ring → unrolled)
  • Amortized grow and node pools trade memory for latency; clear slots on dequeue for GC
  • Power-of-2 ring capacity; index with & (len - 1) instead of %

Read the full file on GitHub · 516 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. 1mo ago First seen · 516 lines · 0 tokens per session scan A 27364c6c35e4

Subscribe to this mod's changes

data-structures is a skill published in the GitHub repository metarhia/metaskills (59 stars, last pushed 2mo ago), licensed MIT. It adds 84 tokens to every session and 3,591 once invoked, about $0.0003 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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