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-memo-buildergit 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-memo-builder)<a href="https://agentmods.dev/skills/qiushen-first/cn-investment-banking-skills/cn-ib-memo-builder"><img src="https://agentmods.dev/badge/skills/qiushen-first/cn-investment-banking-skills/cn-ib-memo-builder/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-memo-builder"><img src="https://agentmods.dev/badge/skills/qiushen-first/cn-investment-banking-skills/cn-ib-memo-builder.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 | $0.00108 | $0.00929 |
| Opus 5 | $0.00054 | $0.00464 |
| Sonnet 5 | $0.00022 | $0.00186 |
| Haiku 4.5 | $0.00011 | $0.00093 |
Grade A, and why
cn-ib-memo-builder 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CN IB Memo Builder
Produce a memo that lets a senior banker understand the decision, evidence, risk, and next action quickly.
Principles
- Start with the decision or conclusion, not a chronology of work performed.
- Distinguish confirmed fact, source statement, analysis, assumption, and open question.
- Support material facts with stable source identifiers and precise locators.
- Keep unresolved issues visible with owner, deadline, dependency, and consequence.
- Preserve the user's template, defined terms, and requested sections.
- Never manufacture a conclusion when the evidence is incomplete.
Workflow
1. Define the memo's job
Read references/memo-types.md. Confirm:
- reader and decision required;
- memo type and required length;
- reporting cut-off and transaction stage;
- approved sources and confidentiality level;
- required template, headings, and sign-offs.
If no template is supplied, start from assets/memo-template.md and remove irrelevant sections rather than filling them with generic prose.
2. Build an evidence ledger
Before drafting, assign each material source a stable ID such as [S1]. Record:
source_id, title, date, file_or_url, page_or_cell, owner, status
Extract facts with original wording, period, unit, scope, and caveat. Use cn-ib-source-verifier for calculation lineage or cn-ib-cross-document-check when sources disagree.
3. Create the issue structure
For each material issue, state:
- Conclusion: what the evidence currently supports;
- Facts: source-backed observations only;
- Analysis: why the facts matter to the transaction;
- Gap or risk: what remains uncertain and the consequence;
- Action: next step, owner, deadline, and closure evidence.
Do not hide a qualification in a footnote when it changes the conclusion.
4. Draft conclusion-first
Read references/drafting-style.md. Write the executive summary after the issue analysis, then move it to the front. Use tables for decisions, open items, and comparisons; use prose for reasoning that needs context.
What ships with it
6 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 · 101 lines · 108 tokens per session scan A 67b8634a0d12
cn-ib-memo-builder 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 108 tokens to every session and 929 once invoked, about $0.0005 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.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
furusato
A Japanese hometown-tax donation manager for furusato nozei, a system where donations to municipalities can qualify for an income-tax or local-tax deduction. It reads donation receipts, stores donation records, and calculates deduction limits.
reading-receipt
An image-reading workflow for extracting structured information from receipts, invoices, and hometown-tax donation certificates. It can first extract text from PDFs and otherwise read their images.