similar-resources

similar-resources is a skill for Claude Code from taishi-i/awesome-japanese-nlp-resources. It costs 70 tokens per session (6,702 once invoked), scanned B, original, CC0-1.0.

A tool for finding GitHub repositories and Hugging Face models or datasets that perform the same or related Japanese NLP work as a given project or model. It combines a curated resource collection with web research.

In plain words
What is it for?
Use it to find similar resources for a Japanese NLP repository, Hugging Face model, dataset, or named tool.
Why use it?
It helps developers discover alternatives and related tools without manually comparing many repositories and model pages.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions Claude Code.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the awesome-japanese-nlp-resources plugin — 5 skills shipped together

Good fit Use it to find similar resources for a Japanese NLP repository, Hugging Face model, dataset, or named tool.

Compare 6 skills from other repositories ↓
About the project

awesome-japanese-nlp-resources is a curated catalogue of Japanese natural-language-processing resources, including Python libraries, language models, dictionaries, corpora, and datasets. It helps people discover, compare, research, and contribute Japanese NLP tools and data. Its catalogue skills and plugins let Claude Code search the resources, find related items, discover additions, and investigate trends or research issues.

taishi-i/awesome-japanese-nlp-resources · 1,007 stars · on GitHub · taishi-i.github.io

Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add taishi-i/awesome-japanese-nlp-resources
Claude Code
/plugin install awesome-japanese-nlp-resources

Made for: Claude Code.

Or install awesome-japanese-nlp-resources, the plugin that ships this one along with the rest of its 5 skills.

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 similar-resources

README.md
[![agentmods](https://agentmods.dev/badge/skills/taishi-i/awesome-japanese-nlp-resources/similar-resources/github.svg)](https://agentmods.dev/skills/taishi-i/awesome-japanese-nlp-resources/similar-resources)
Your own site
<a href="https://agentmods.dev/skills/taishi-i/awesome-japanese-nlp-resources/similar-resources"><img src="https://agentmods.dev/badge/skills/taishi-i/awesome-japanese-nlp-resources/similar-resources/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 similar-resources

Your own site · 80×15
<a href="https://agentmods.dev/skills/taishi-i/awesome-japanese-nlp-resources/similar-resources"><img src="https://agentmods.dev/badge/skills/taishi-i/awesome-japanese-nlp-resources/similar-resources.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,702 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. 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 $0.00070 $0.06702
Opus 5 $0.00035 $0.03351
Sonnet 5 $0.00014 $0.01340
Haiku 4.5 $0.00007 $0.00670

Measured 13d ago against content hash cfbfb491d6f5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade B, and why

similar-resources scanned grade B with 1 finding 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 13d 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

[ -f "$RESOURCES_PATH" ] || RESOURCES_PATH="$(find "${HOME}/.claude/plugins" -type f -name resources.json 2>/dev/null | grep "awesome-japanese-nlp-resources/" | head -1)"
plugins/awesome-japanese-nlp-resources/skills/similar-resources/SKILL.md · 393 lines

How it starts

The opening of the file, as written. The whole thing — 393 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Find repositories similar to: "$ARGUMENTS" — first from the bundled awesome-japanese-nlp-resources dataset, then from the web.

Instructions

Preamble — Establish the current date

Before anything else, run this once and remember the values — every step that mentions a year refers to them:

echo "YEAR_NOW=$(date +%Y)"
echo "YEAR_PREV=$(($(date +%Y) - 1))"

Substitute these wherever this skill writes ${YEAR_NOW} or ${YEAR_PREV}. Do not hardcode years.

Step 0 — Validate input

This skill needs a seed repository, model, or tool. If $ARGUMENTS is empty or blank, stop immediately and output:

Usage: /awesome-japanese-nlp-resources:similar-resources <github-url | huggingface-url | owner/repo | tool-name>

Examples:
  /awesome-japanese-nlp-resources:similar-resources mecab
  /awesome-japanese-nlp-resources:similar-resources fugashi
  /awesome-japanese-nlp-resources:similar-resources https://github.com/polm/cutlet
  /awesome-japanese-nlp-resources:similar-resources WorksApplications/Sudachi
  /awesome-japanese-nlp-resources:similar-resources manga-ocr
  /awesome-japanese-nlp-resources:similar-resources https://huggingface.co/cl-nagoya/ruri-large

Pass the repository/model (URL, owner/repo, or a tool/model name) you want similar resources for.

---

使い方: /awesome-japanese-nlp-resources:similar-resources <github-url | huggingface-url | owner/repo | tool-name>

例:
  /awesome-japanese-nlp-resources:similar-resources mecab
  /awesome-japanese-nlp-resources:similar-resources 形態素解析 nagisa
  /awesome-japanese-nlp-resources:similar-resources https://github.com/polm/cutlet
  /awesome-japanese-nlp-resources:similar-resources WorksApplications/Sudachi
  /awesome-japanese-nlp-resources:similar-resources manga-ocr
  /awesome-japanese-nlp-resources:similar-resources https://huggingface.co/cl-nagoya/ruri-large

類似リソースを探したいリポジトリ/モデル(URL / owner/repo / ツール名・モデル名)を引数に指定してください。

Do not proceed if $ARGUMENTS is empty.

Step 1 — Normalize the seed

Read the full file on GitHub · 393 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. 13d ago First seen · 393 lines · 70 tokens per session scan B cfbfb491d6f5

Subscribe to this mod's changes

similar-resources is a skill published in the GitHub repository taishi-i/awesome-japanese-nlp-resources (1,007 stars, last pushed 2d ago), licensed CC0-1.0. It adds 70 tokens to every session and 6,702 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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