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 cxcscmu/SkillLearnBench --skill fuzzy-searchgit clone --depth 1 https://github.com/cxcscmu/SkillLearnBenchWrote 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/fuzzy-search)<a href="https://agentmods.dev/skills/cxcscmu/skilllearnbench/fuzzy-search"><img src="https://agentmods.dev/badge/skills/cxcscmu/skilllearnbench/fuzzy-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 | $0.00022 | $0.00194 |
| Opus 5 | $0.00011 | $0.00097 |
| Sonnet 5 | $0.00004 | $0.00039 |
| Haiku 4.5 | $0.00002 | $0.00019 |
Grade A, and why
fuzzy-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
Fuzzy Search for 13-F Data
Setup
pip install thefuzz python-Levenshtein
Fund Name Search
from thefuzz import fuzz, process
# Search in COVERPAGE for fund name
results = process.extract(search_term, cover['FILINGMANAGER_NAME'].tolist(), scorer=fuzz.token_sort_ratio, limit=5)
# Returns list of (match, score, index)
Stock CUSIP Search by Issuer Name
# Get unique issuers with CUSIPs
issuers = info[['NAMEOFISSUER','CUSIP']].drop_duplicates()
results = process.extract(stock_name, issuers['NAMEOFISSUER'].tolist(), scorer=fuzz.token_sort_ratio, limit=5)
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 · 28 lines · 22 tokens per session scan A fa3f18d31f5d
fuzzy-search is a skill published in the GitHub repository cxcscmu/SkillLearnBench (83 stars, last pushed 1mo ago), licensed MIT. It adds 22 tokens to every session and 194 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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content-creator-setup
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idea-parking
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