Agent skill

Japan Nhi Cycle

by hh-health-AI in hh-health-AI/healthcare-equity

This skill should be used when the user asks about "Japan pricing", "NHI price", "Chuikyo", "MHLW", "PMDA", "Japanese reimbursement", "price revision", "foreign average price", or is modelling…

MITAuto-check passedBusiness, Finance & HR

Install Japan Nhi Cycle

skills CLI
$ npx skills add hh-health-AI/healthcare-equity --skill japan-nhi-cycle -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hh-health-AI/healthcare-equity japan-nhi-cycle --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hh-health-AI/healthcare-equity.git skills-src && mkdir -p .claude/skills && cp -r skills-src/modules/global-access/skills/japan-nhi-cycle .claude/skills/japan-nhi-cycle && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
japan-nhi-cycle
GitHub stars
101
Token cost
~707 tokens
SKILL.md length
348 words
Files
1
Skills in repo
72
Repo updated
First seen
Licence
MIT

At a glance

This skill should be used when the user asks about "Japan pricing", "NHI price", "Chuikyo", "MHLW", "PMDA", "Japanese reimbursement", "price revision", "foreign average price", or is modelling…

  • Works in 7 steps: Track the approval. PMDA review and MHLW… → Understand how the initial price is set.… → Model the revisions, because they are… → …
  • Asks about Japan pricing
  • SKILL.md covers Workflow and Not-automatic
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Japan Nhi Cycle is an agent skill from hh-health-AI/healthcare-equity. This skill should be used when the user asks about "Japan pricing", "NHI price", "Chuikyo", "MHLW", "PMDA", "Japanese reimbursement", "price revision", "foreign average price", or is modelling Japanese revenue for a pharma or medtech name. Anchors prompt-library ID INTL-02.

Its SKILL.md is about 710 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR, covering Accounting and bookkeeping and Prompt engineering. The repository describes itself as: Synthesis engine for buy-side healthcare equity research. The licence is MIT.

When your agent uses it

  • Asks about Japan pricing
  • Japanese reimbursement
  • Foreign average price
  • Is modelling Japanese revenue for a pharma

Example prompts

  • “Japan pricing”
  • “NHI price”
  • “Chuikyo”
  • “/japan-nhi-cycle”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Track the approval. PMDA review and MHLW approval, then NHI price listing, which
  2. Understand how the initial price is set. Two routes
  3. Model the revisions, because they are the main event. NHI prices are revised on a
  4. Watch the special repricing rules. Products whose sales substantially exceed the
  5. Track Chuikyo. The Central Social Insurance Medical Council deliberates and
  6. For medtech, the functional-category reimbursement system works differently from
  7. Emit the brief, noting where a finding rests on a translated source.

What it can do on your machine

Read from SKILL.md and the folder at commit 6c7bda8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Japan Nhi Cycle loads about 707 tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 348 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~707

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hh-health-AI/healthcare-equity at commit 6c7bda8, republished under its MIT licence (© hh-health-AI). 348 words, ~707 tokens.

Download SKILL.mdSave it as .claude/skills/japan-nhi-cycle/SKILL.md (or your agent's skills folder).
name
japan-nhi-cycle
description
This skill should be used when the user asks about "Japan pricing", "NHI price", "Chuikyo", "MHLW", "PMDA", "Japanese reimbursement", "price revision", "foreign average price", or is modelling Japanese revenue for a pharma or medtech name. Anchors prompt-library ID INTL-02.
metadata.version
0.1.0
metadata.layer
Regulatory

Japan NHI cycle

Model Japanese price and volume through the NHI listing and revision machinery, which is more mechanical — and therefore more forecastable — than most markets.

Workflow

  1. Track the approval. PMDA review and MHLW approval, then NHI price listing, which generally follows within a defined window after approval. Listing, not approval, is when revenue starts.
  2. Understand how the initial price is set. Two routes:
    • Similar efficacy comparison — priced against a comparator drug, with premiums available for innovativeness, usefulness, marketability, paediatric use and orphan status. The premium categories are published and their criteria are explicit.
    • Cost calculation — used when no comparator exists. Then the foreign average price adjustment compares against a set of reference countries and adjusts toward that average, which is why the US and European prices feed directly into the Japanese one.
  3. Model the revisions, because they are the main event. NHI prices are revised on a regular cycle and the direction is essentially always down. Model a recurring price decline rather than a flat price — a flat Japanese price line is a modelling error, not a conservative assumption.
  4. Watch the special repricing rules. Products whose sales substantially exceed the forecast used at listing are subject to price cuts scaled to the overshoot. This creates the counter-intuitive result that a strongly outperforming launch in Japan triggers a larger price cut — a specific and repeated risk for successful products.
  5. Track Chuikyo. The Central Social Insurance Medical Council deliberates and publishes materials on listings, premiums, repricing and system reform. Its published materials are the primary source and are in Japanese; cite the original.
  6. For medtech, the functional-category reimbursement system works differently from drugs: devices are reimbursed within functional categories with their own revision cycle and foreign-price adjustment. Do not apply the drug rules to a device.
  7. Emit the brief, noting where a finding rests on a translated source.

Not-automatic

Japanese approval does not license a revenue start, and a listed price does not license a stable price. Both the scheduled revision and the overshoot repricing must be in the model.

Contract: ../../references/evidence-brief.md.

© hh-health-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in modules/global-access/skills/japan-nhi-cycle of hh-health-AI/healthcare-equity.

Open the folder on GitHubat commit 6c7bda8

Compare with similar skills

Japan Nhi Cycle next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Japan Nhi Cycle compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Japan Nhi Cycle this skillhh-health-AI/healthcare-equity101—~707Automated safety check: PassMIT
Fastllm Limits Budgetsazrtydxb/Fastllm-proxy108—~467Automated safety check: PassApache-2.0
Akshare Online AlphaLeoYeAI/openclaw-master-skills2.2k—~1.6kAutomated safety check: PassMIT
Sync Upstreamnyaruka/phonenumbers1.6k—~2.8kAutomated safety check: PassMIT
Radiology Tablehuang-sir1/radiology-skills1.9k—~1.3kAutomated safety check: PassCustom licence
ERPClaw ERP Controlleravansaber/erpclaw116—~18kAutomated safety check: PassGPL-3.0

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Questions about Japan Nhi Cycle

What does Japan Nhi Cycle do?

This skill should be used when the user asks about "Japan pricing", "NHI price", "Chuikyo", "MHLW", "PMDA", "Japanese reimbursement", "price revision", "foreign average price", or is modelling…. Japan Nhi Cycle is an agent skill from hh-health-AI/healthcare-equity. This skill should be used when the user asks about "Japan pricing", "NHI price", "Chuikyo", "MHLW", "PMDA", "Japanese reimbursement", "price revision", "foreign average price", or is modelling Japanese revenue for a pharma or medtech name.

When should I use Japan Nhi Cycle?

Japan Nhi Cycle fits situations like: asks about Japan pricing; japanese reimbursement; foreign average price; is modelling Japanese revenue for a pharma.

How do I install Japan Nhi Cycle in Claude Code?

Run `npx skills add hh-health-AI/healthcare-equity --skill japan-nhi-cycle -a claude-code`. Or copy the skill folder (modules/global-access/skills/japan-nhi-cycle in hh-health-AI/healthcare-equity) into .claude/skills/japan-nhi-cycle in your project. Claude Code loads it when a task matches its description.

How do I install Japan Nhi Cycle in Codex?

Run `npx skills add hh-health-AI/healthcare-equity --skill japan-nhi-cycle -a codex`. Or copy the skill folder (modules/global-access/skills/japan-nhi-cycle in hh-health-AI/healthcare-equity) into .agents/skills/japan-nhi-cycle in your project. Codex loads it when a task matches its description.

Can I use Japan Nhi Cycle in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hh-health-AI/healthcare-equity --skill japan-nhi-cycle -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/japan-nhi-cycle, .gemini/skills/japan-nhi-cycle, .github/skills/japan-nhi-cycle and .opencode/skills/japan-nhi-cycle in your project.

What does Japan Nhi Cycle need to run?

SKILL.md names no scripts, command-line tools or credentials: Japan Nhi Cycle is instructions for the agent only.

Does Japan Nhi Cycle access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Japan Nhi Cycle safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Japan Nhi Cycle use?

Japan Nhi Cycle is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Japan Nhi Cycle use?

About 707 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Japan Nhi Cycle?

Skills that share tags, products or a category with Japan Nhi Cycle: Fastllm Limits Budgets (azrtydxb/Fastllm-proxy, 108 stars), Akshare Online Alpha (LeoYeAI/openclaw-master-skills, 2.2k stars), Sync Upstream (nyaruka/phonenumbers, 1.6k stars) and Radiology Table (huang-sir1/radiology-skills, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Japan Nhi Cycle?

hh-health-AI (a GitHub user) maintains it in hh-health-AI/healthcare-equity, which has 101 GitHub stars. The repository holds 72 skills in this directory. The repository was last updated on October 8, 2026.

Source: hh-health-AI/healthcare-equity on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.