C 언어 인접 리스트 기반 방향성 그래프 생성 및 인접 행렬 출력

C 언어 인접 리스트 기반 방향성 그래프 생성 및 인접 행렬 출력 is a skill for Claude Code, Codex from ECNU-ICALK/AutoSkill. It costs 75 tokens per session (785 once invoked), scanned A, original, no licence file.

A C program that builds a directed graph using adjacency lists and also prints it as an adjacency matrix. A directed graph has edges with a specified direction between nodes.

In plain words
What is it for?
It helps represent directed graphs in C and display their connections in matrix form.
Why use it?
It prevents duplicate edges and self-loops while supporting negative edge costs.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/ecnu-icalk/autoskill/c
Any agent
npx skills add ECNU-ICALK/AutoSkill --skill c
Clone the repo
git clone --depth 1 https://github.com/ECNU-ICALK/AutoSkill

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 C 언어 인접 리스트 기반 방향성 그래프 생성 및 인접 행렬 출력

README.md
[![agentmods](https://agentmods.dev/badge/skills/ecnu-icalk/autoskill/c.svg)](https://agentmods.dev/skills/ecnu-icalk/autoskill/c)
Your own site
<a href="https://agentmods.dev/skills/ecnu-icalk/autoskill/c"><img src="https://agentmods.dev/badge/skills/ecnu-icalk/autoskill/c.svg" alt="Measured on agentmods" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 785 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00075 $0.00785
Opus 5 $0.00037 $0.00392
Sonnet 5 $0.00015 $0.00157
Haiku 4.5 $0.00007 $0.00078

Measured 2d ago against content hash 1547135f9ac3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

C 언어 인접 리스트 기반 방향성 그래프 생성 및 인접 행렬 출력 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 2d 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.

SkillBank/ConvSkill/Korean/c-언어-인접-리스트-기반-방향성-그래프-생성-및-인접-행렬-출력/SKILL.md · 56 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2d ago First seen · 56 lines · 75 tokens per session scan A 1547135f9ac3

Subscribe to this mod's changes

C 언어 인접 리스트 기반 방향성 그래프 생성 및 인접 행렬 출력 is a skill published in the GitHub repository ECNU-ICALK/AutoSkill (572 stars, last pushed 3mo ago), with no licence file. It adds 75 tokens to every session and 785 once invoked, about $0.0004 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 2026-09-03.

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