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.
npx skills add Qiushen-first/cn-investment-banking-skills --skill cn-ib-cross-document-checkgit clone --depth 1 https://github.com/Qiushen-first/cn-investment-banking-skillsWrote 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.
[](https://agentmods.dev/skills/qiushen-first/cn-investment-banking-skills/cn-ib-cross-document-check)<a href="https://agentmods.dev/skills/qiushen-first/cn-investment-banking-skills/cn-ib-cross-document-check"><img src="https://agentmods.dev/badge/skills/qiushen-first/cn-investment-banking-skills/cn-ib-cross-document-check/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.
<a href="https://agentmods.dev/skills/qiushen-first/cn-investment-banking-skills/cn-ib-cross-document-check"><img src="https://agentmods.dev/badge/skills/qiushen-first/cn-investment-banking-skills/cn-ib-cross-document-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00115 | $0.01162 |
| Opus 5 | $0.00057 | $0.00581 |
| Sonnet 5 | $0.00023 | $0.00232 |
| Haiku 4.5 | $0.00012 | $0.00116 |
Grade A, and why
cn-ib-cross-document-check 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.
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.
How it starts
The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CN IB Cross-Document Check
Compare multiple filing documents without flattening differences in period, entity, scope, unit, or accounting definition.
Non-negotiable rules
- Compare like with like. Match entity, metric definition, period, scope, currency, unit, and pre/post-transaction basis before declaring a conflict.
- Preserve provenance for every extracted fact: document, version, page/location, source text, and extraction method.
- Treat rounding differences separately from substantive inconsistencies.
- Do not decide which document is correct merely because one is newer. Identify the likely source of truth and request confirmation.
- Distinguish a missing disclosure from a contradictory disclosure.
- Escalate legal, accounting, and regulatory judgments to the responsible professional.
Workflow
1. Build the document manifest
Read references/document-matrix.md. Record for every file:
- document type;
- filename and version;
- document date;
- reporting period;
- responsible owner;
- expected source-of-truth fields;
- whether the document is draft, signed, filed, feedback response, or registration version.
Never compare files until their versions are identified.
2. Define the comparison dictionary
Start with the high-risk fields relevant to the transaction:
- issuer and subsidiary names;
- incorporation and historical dates;
- share capital, ownership, and per-share figures;
- revenue, profit, cash flow, assets, liabilities, and margins;
- customers, suppliers, related parties, and contracts;
- market share, ranking, capacity, production, and sales volume;
- fundraising project investment, proceeds, implementation entity, and schedule;
- risk factors and material event descriptions;
- sponsor, counsel, accountant, and signatory details.
Define each metric before extraction. Read references/comparison-schema.md.
3. Extract an evidence ledger
Create one row per claim using:
document, version, entity, metric, definition, period, scope,
value, unit, location, source_text, extraction_method, reviewer
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 142 lines · 115 tokens per session scan A 7a8270ee963f
cn-ib-cross-document-check 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 115 tokens to every session and 1,162 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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