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-source-verifiergit 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-source-verifier)<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.
<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>- 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 | $0.00113 | $0.00914 |
| Opus 5 | $0.00056 | $0.00457 |
| Sonnet 5 | $0.00023 | $0.00183 |
| Haiku 4.5 | $0.00011 | $0.00091 |
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.
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 — 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
- Verify the claim actually made, not merely whether the source exists.
- Match source, date, geography, population, definition, period, currency, and unit.
- Separate direct copy, transformation, calculation, extrapolation, and management inference.
- Prefer primary and official sources. Use secondary sources only for discovery or clearly labeled context.
- Preserve the original value and text before normalization.
- 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:
What ships with it
9 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.
- agents/openai.yaml 243 B
- assets/source-ledger-template.csv 507 B
- references/calculation-checks.md 1.1 KB
- references/source-connectors.csv 5.2 KB
- references/source-connectors.md 2.5 KB
- references/source-hierarchy.md 1.3 KB
- scripts/check_source_ledger.py 5.3 KB runs code
- scripts/plan_source_search.py 2.1 KB runs code
- scripts/validate_source_connectors.py 3.2 KB runs code
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 · 118 lines · 113 tokens per session scan A 2a7cc3acc96f
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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