Cn Ib Source Verifier logo

Cn Ib Source Verifier

Community
QiushenZou
cn-ib-source-verifier

Verify external sources, copied figures, dates, periods, units, calculations, and citation lineage behind Chinese investment-banking disclosures. Use when checking 招股书行业数据、政策、市场份额、排名、居民电价、补贴、CAGR、可比公司数据、年报数据、募投测算 or third-party citations for 来源准确性、数据更新、原文核验、计算复核 and evidence ledgers. Do not use secondary web summaries when a primary filing or official source is available.

Overview

PublisherQiushenZou
Repositorycn-investment-banking-skills
Skill namecn-ib-source-verifier
Stars
97
Forks
0
Bundled files
9
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 9 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by QiushenZou on GitHub. Read the source before you install it.

Installation

Install the Cn Ib Source Verifier AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/QiushenZou/cn-investment-banking-skills/tree/main/skills/cn-ib-source-verifier
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/QiushenZou/cn-investment-banking-skills.git /tmp/cn-investment-banking-skills
mkdir -p .claude/skills
cp -r /tmp/cn-investment-banking-skills/skills/cn-ib-source-verifier .claude/skills/cn-ib-source-verifier
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cn Ib Source Verifier in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cn Ib Source Verifier on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cn Ib Source Verifier is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

CN IB Source Verifier

Audit the evidence chain from disclosed claim to primary source and, where applicable, reproducible calculation.

Principles

  1. Verify the claim actually made, not merely whether the source exists.
  2. Match source, date, geography, population, definition, period, currency, and unit.
  3. Separate direct copy, transformation, calculation, extrapolation, and management inference.
  4. Prefer primary and official sources. Use secondary sources only for discovery or clearly labeled context.
  5. Preserve the original value and text before normalization.
  6. Never update a volatile claim without stating the new as-of date and whether historical comparability changes.

Workflow

1. Build the claim ledger

Use assets/source-ledger-template.csv or equivalent XLSX fields:

text
claim_id, claim, section, claim_type, source_type, source_title,
source_locator, source_date, access_date, period, geography,
definition, original_value, reported_value, unit,
calculation_type, start_value, end_value, years,
review_status, reviewer, notes

Create separate rows when one sentence contains multiple independently verifiable claims.

2. Classify the source

Read references/source-hierarchy.md. Identify whether the source is:

  • regulator or government;
  • exchange or statutory filing;
  • issuer primary material;
  • recognized international organization or industry association;
  • licensed financial database;
  • professional research;
  • media or aggregator;
  • management representation;
  • unknown.

Do not describe an industry report as government data.

When selecting where and how to search, read references/source-connectors.md and use scripts/plan_source_search.py. Prefer a configured MCP when it is licensed and preserves lineage; otherwise use the official website, browser, or public web search. 见微数据 is a discovery/index layer unless the underlying exchange or CSRC filing is also verified.

3. Verify the locator and context

Open the primary source and confirm:

  • exact page, table, paragraph, URL, or dataset series;
  • publication and access date;
  • whether the source is final, revised, archived, or superseded;
  • geographic and product scope;
  • current/historical period;
  • numerator, denominator, and methodology;
  • currency, unit, nominal/real basis, tax basis, and seasonality where relevant.

4. Reperform transformations

Read references/calculation-checks.md. Reperform:

  • currency and scale conversion;
  • totals and percentages;
  • year-on-year changes;
  • percentage-point changes;
  • CAGR;
  • market shares;
  • per-unit and per-capita figures;
  • weighted averages.

Keep inputs in the evidence ledger. Do not hardcode an unexplained result.

5. Run deterministic ledger checks

For CSV ledgers, run:

bash
python3 scripts/check_source_ledger.py source-ledger.csv --output issues.csv

The script validates required lineage and reperforms direct-copy and CAGR checks. Review all contextual issues manually.

6. Assess disclosure support

Classify each claim:

  • verified_primary;
  • verified_calculation;
  • verified_secondary;
  • partially_supported;
  • stale_source;
  • definition_mismatch;
  • calculation_error;
  • source_not_found;
  • professional_judgment_required.

For rankings and superlatives, verify the comparison universe and date. A source that names selected companies does not prove an industry-wide ranking.

Output contract

Deliver:

  1. verified claim ledger;
  2. issues prioritized by filing impact;
  3. corrected calculation and formula where relevant;
  4. replacement primary source when available;
  5. stale or non-comparable claims;
  6. limitations and items requiring issuer, sponsor, counsel, or accountant confirmation.

Do not leave downloaded reports, screenshots, OCR files, or conversion artifacts in the user's project directory unless specifically requested as final evidence.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cn Ib Source Verifier AI skill do?

Verify external sources, copied figures, dates, periods, units, calculations, and citation lineage behind Chinese investment-banking disclosures. Use when checking 招股书行业数据、政策、市场份额、排名、居民电价、补贴、CAGR、可比公司数据、年报数据、募投测算 or third-party citations for 来源准确性、数据更新、原文核验、计算复核 and evidence ledgers. Do not use secondary web summaries when a primary filing or official source is available.

Why use Cn Ib Source Verifier on TypingMind?

Because you install it once and use it with any model. Cn Ib Source Verifier is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cn Ib Source Verifier in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/QiushenZou/cn-investment-banking-skills/tree/main/skills/cn-ib-source-verifier. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cn Ib Source Verifier?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cn Ib Source Verifier?

As many as you like. As long as a model supports skills, you can use Cn Ib Source Verifier with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cn Ib Source Verifier AI skill free?

Yes. It is published on GitHub by QiushenZou under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇