claude-GUNDAM-zh-tw: Skill for Claude Code

.claude/skills/deep-research/SKILL.md

deep-research is a skill for Claude Code from bheadwei/claude-GUNDAM-zh-tw. It costs 61 tokens per session (1,296 once invoked), scanned B, original, no licence file.

A method for researching a topic across multiple web sources and producing a report with citations. It combines search, source comparison, and written synthesis.

In plain words
What is it for?
It helps conduct thorough web research and deliver findings with source attribution.
Why use it?
It reduces the work of finding, checking, and organizing evidence from different sources.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is bheadwei/claude-GUNDAM-zh-tw's own configuration. It tells Claude Code how to work on claude-GUNDAM-zh-tw itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything claude-GUNDAM-zh-tw configures →

Reuse

Borrowing it

Nothing to install: this file belongs to bheadwei/claude-GUNDAM-zh-tw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/bheadwei/claude-GUNDAM-zh-tw/main/.claude/skills/deep-research/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/bheadwei/claude-GUNDAM-zh-tw

Made for: Claude Code.

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 deep-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/bheadwei/claude-gundam-zh-tw/deep-research/github.svg)](https://agentmods.dev/skills/bheadwei/claude-gundam-zh-tw/deep-research)
Your own site
<a href="https://agentmods.dev/skills/bheadwei/claude-gundam-zh-tw/deep-research"><img src="https://agentmods.dev/badge/skills/bheadwei/claude-gundam-zh-tw/deep-research/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 deep-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/bheadwei/claude-gundam-zh-tw/deep-research"><img src="https://agentmods.dev/badge/skills/bheadwei/claude-gundam-zh-tw/deep-research.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 1,296 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 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 5.1 $0.00061 $0.01296
Opus 5.5 $0.00024 $0.00518
Sonnet 5.5 $0.00012 $0.00259
Haiku 4.5 $0.00006 $0.00130

Measured 1mo ago against content hash 90ba5a0f40d8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

deep-research 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 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.

Reads agent configuration directoriesmediumAgent snooping

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

兩者搭配使用覆蓋範圍最廣。在 `~/.claude.json` 或 `~/.codex/config.toml` 中設定。
.claude/skills/deep-research/SKILL.md · 143 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

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. 1mo ago Changed · -13 lines · +13 tokens per session 90ba5a0f40d8
  2. 2mo ago First seen · 156 lines · 48 tokens per session scan B 2d631427fc9a

Subscribe to this mod's changes

deep-research is a skill published in the GitHub repository bheadwei/claude-GUNDAM-zh-tw (12 stars, last pushed yesterday), with no licence file. It adds 61 tokens to every session and 1,296 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.

Related

deep-research compared with skills from other repositories

deep-research next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
deep-researchbheadwei/claude-GUNDAM-zh-twSkill12yesterdaynoneB61Claude Code
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code