Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/cxcscmu/SkillLearnBenchnpx agentmods add skills/cxcscmu/skilllearnbench/13f-searchWrote 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/cxcscmu/skilllearnbench/13f-search)<a href="https://agentmods.dev/skills/cxcscmu/skilllearnbench/13f-search"><img src="https://agentmods.dev/badge/skills/cxcscmu/skilllearnbench/13f-search.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00018 | $0.00164 |
| Opus 5 | $0.00009 | $0.00082 |
| Sonnet 5 | $0.00004 | $0.00033 |
| Haiku 4.5 | $0.00002 | $0.00016 |
Grade A, and why
13f-search 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 3d 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.
What it actually says
Overview
Use the provided scripts to find the unique identifier (ACCESSION_NUMBER) for a fund or the CUSIP for a stock.
Usage
Finding a Fund's Accession Number
To find the accession number for a fund in a specific quarter:
python3 /root/.agents/skills/fuzzy-name-search/scripts/search_fund.py --keywords "Fund Name" --quarter 2025-q3
Finding a Stock's CUSIP
To find the CUSIP for a company:
python3 /root/.agents/skills/fuzzy-name-search/scripts/search_stock_cusip.py --keywords "Company Name"
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.
- 3d ago First seen · 23 lines · 18 tokens per session scan A f3046be9dcdd
13f-search is a skill published in the GitHub repository cxcscmu/SkillLearnBench (83 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 164 once invoked, about $0.0001 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 2026-09-03.
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