cn-ib-source-verifier

cn-ib-source-verifier is a skill for Codex from Qiushen-first/cn-investment-banking-skills. It costs 113 tokens per session (914 once invoked), scanned A, original, Apache-2.0.

A source-checking process for Chinese investment-banking disclosures. It verifies claims, figures, dates, periods, units, calculations, and the path back to the original evidence.

In plain words
What is it for?
Use it to check prospectus industry data, policies, market shares, rankings, financial reports, subsidies, growth rates, comparable-company data, and fundraising estimates.
Why use it?
It reduces the risk of publishing unsupported, outdated, mismatched, or incorrectly calculated information.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to check prospectus industry data, policies, market shares, rankings, financial reports, subsidies, growth rates, comparable-company data, and fundraising estimates.

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Install with agentmods
npx agentmods add skills/qiushen-first/cn-investment-banking-skills/cn-ib-source-verifier
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 Qiushen-first/cn-investment-banking-skills --skill cn-ib-source-verifier
Clone the repo
git clone --depth 1 https://github.com/Qiushen-first/cn-investment-banking-skills

Made for: 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 cn-ib-source-verifier

README.md
[![agentmods](https://agentmods.dev/badge/skills/qiushen-first/cn-investment-banking-skills/cn-ib-source-verifier/github.svg)](https://agentmods.dev/skills/qiushen-first/cn-investment-banking-skills/cn-ib-source-verifier)
Your own site
<a href="https://agentmods.dev/skills/qiushen-first/cn-investment-banking-skills/cn-ib-source-verifier"><img src="https://agentmods.dev/badge/skills/qiushen-first/cn-investment-banking-skills/cn-ib-source-verifier/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 cn-ib-source-verifier

Your own site · 80×15
<a href="https://agentmods.dev/skills/qiushen-first/cn-investment-banking-skills/cn-ib-source-verifier"><img src="https://agentmods.dev/badge/skills/qiushen-first/cn-investment-banking-skills/cn-ib-source-verifier.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 113 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 914 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00113 $0.00914
Opus 5 $0.00056 $0.00457
Sonnet 5 $0.00023 $0.00183
Haiku 4.5 $0.00011 $0.00091

Measured 12d ago against content hash 2a7cc3acc96f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

cn-ib-source-verifier 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 12d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/check_source_ledger.py, scripts/plan_source_search.py, scripts/validate_source_connectors.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/cn-ib-source-verifier/SKILL.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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:

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:

Read the full file on GitHub · 118 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. 12d ago First seen · 118 lines · 113 tokens per session scan A 2a7cc3acc96f

Subscribe to this mod's changes

cn-ib-source-verifier is a skill published in the GitHub repository Qiushen-first/cn-investment-banking-skills (101 stars, last pushed 26d ago), licensed Apache-2.0. It adds 113 tokens to every session and 914 once invoked, about $0.0006 per session on Opus 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 2026-08-30.

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