huashu-research

huashu-research is a skill for Claude Code, Codex from Biraj2004/huashu-skills-english. It costs 56 tokens per session (1,988 once invoked), scanned A, original, MIT.

A structured workflow for researching information on the web and saving findings to files as the research progresses. It is intended for searches about products, technology, competitors, trends, and recent information.

In plain words
What is it for?
Creating a dated research-notes file, recording findings and source URLs after each search, and building a source list for later writing or analysis.
Why use it?
Saving results during the research reduces the chance of losing work if the session stops before the task is finished.

Skill for Claude CodeCodex

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

Good fit Creating a dated research-notes file, recording findings and source URLs after each search, and building a source list for later writing or analysis.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/biraj2004/huashu-skills-english/huashu-research-en
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 Biraj2004/huashu-skills-english --skill huashu-research-en
Clone the repo
git clone --depth 1 https://github.com/Biraj2004/huashu-skills-english

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 huashu-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/biraj2004/huashu-skills-english/huashu-research-en/github.svg)](https://agentmods.dev/skills/biraj2004/huashu-skills-english/huashu-research-en)
Your own site
<a href="https://agentmods.dev/skills/biraj2004/huashu-skills-english/huashu-research-en"><img src="https://agentmods.dev/badge/skills/biraj2004/huashu-skills-english/huashu-research-en/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 huashu-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/biraj2004/huashu-skills-english/huashu-research-en"><img src="https://agentmods.dev/badge/skills/biraj2004/huashu-skills-english/huashu-research-en.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,988 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 $0.00056 $0.01988
Opus 5.5 $0.00022 $0.00795
Sonnet 5.5 $0.00011 $0.00398
Haiku 4.5 $0.00006 $0.00199

Measured 1mo ago against content hash e7f2678fa2a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

huashu-research 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.

huashu-research-en/SKILL.md · 259 lines

How it starts

The opening of the file, as written. The whole thing — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research Skill

A structured web research workflow with one core objective: real-time persistence of research findings to prevent loss due to session interruptions.

When to Use

  • Conducting preliminary research before writing an article
  • Learning about new products, new technology, or recent releases
  • Gathering competitor information or industry trends
  • Any information-gathering task requiring multiple web searches

Execution Workflow

Step 1: Create the Research File Immediately

  • Create the file before starting any searches
  • Path: _knowledge_base/research-<topic>-<YYYYMMDD>.md
  • Initial content includes: research objective, key questions, expected output
# [Topic] Research Notes

Research Date: YYYY-MM-DD
Research Objective: [One-sentence summary]

## Key Questions
1. [Question 1]
2. [Question 2]
3. [Question 3]

## Findings

(To be filled in progressively during research)

## Source List

(Append after each search)

Step 2: Search and Save Incrementally

  • After every web search, immediately append findings to the file
  • Tag each finding with the source URL and date
  • Follow the source priority rules (see SHARED-RULES.md)

Step 3: Stage Summaries

  • After every 3 searches, save a "stage summary" to the file
  • Format: ### Stage Summary (Round N) + current key findings

Step 4: Final Brief

At the end of research, organise the file into a structured brief:

## Research Conclusions

### Key Facts
1. [Fact 1] (Source: URL)
2. [Fact 2] (Source: URL)

### Source List
| Source | URL | Publication Date | Credibility |

    param($m)
    $inner = $m.Groups[1].Value
    # Split by | and fix each cell separator
    $cells = $inner -split '\|'
    $fixedCells = $cells | ForEach-Object {
      $cell = ---
name: huashu-research
description: Structured web research workflow that ensures research findings are saved incrementally to files and not lost due to session interruptions. Use when the user says "research", "search for information", "look this up", "find out about", or "latest information".
---

# Research Skill

A structured web research workflow with one core objective: real-time persistence of research findings to prevent loss due to session interruptions.

## When to Use

- Conducting preliminary research before writing an article
- Learning about new products, new technology, or recent releases
- Gathering competitor information or industry trends
- Any information-gathering task requiring multiple web searches

## Execution Workflow

### Step 1: Create the Research File Immediately

- Create the file **before** starting any searches
- Path: `_knowledge_base/research-<topic>-<YYYYMMDD>.md`
- Initial content includes: research objective, key questions, expected output

```markdown

Read the full file on GitHub · 259 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 · 259 lines · 56 tokens per session scan A e7f2678fa2a3

Subscribe to this mod's changes

huashu-research is a skill published in the GitHub repository Biraj2004/huashu-skills-english (3 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 1,988 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 2026-08-31.

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