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 xuansenpa1/skillrevise --skill fuzzy-name-searchgit clone --depth 1 https://github.com/xuansenpa1/skillreviseWrote 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/xuansenpa1/skillrevise/fuzzy-name-search)<a href="https://agentmods.dev/skills/xuansenpa1/skillrevise/fuzzy-name-search"><img src="https://agentmods.dev/badge/skills/xuansenpa1/skillrevise/fuzzy-name-search/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/xuansenpa1/skillrevise/fuzzy-name-search"><img src="https://agentmods.dev/badge/skills/xuansenpa1/skillrevise/fuzzy-name-search.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00039 | $0.00709 |
| Opus 5 | $0.00019 | $0.00354 |
| Sonnet 5 | $0.00008 | $0.00142 |
| Haiku 4.5 | $0.00004 | $0.00071 |
Grade A, and why
fuzzy-name-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 8d 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.
This is a copy
100% identical to fuzzy-name-search — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
This tool is essentially a search engine that provides you the ability to search a fund or stock meta information with a name. Note that you don't have to provide the accurate name since this tool has built-in fuzzy string search algorithms based on Levinsteins.
Usage
Fuzzy search a fund using its name
python3 scripts/search_fund.py --keywords "bridgewater" --quarter 2025-q2 --topk 10
And the results will include top-10 funds with name most similar to "bridgewater" search term:
** Rank 1 (score = 81.818) **
ACCESSION_NUMBER: 0001172661-25-003151
REPORTCALENDARORQUARTER: 30-JUN-2025
FILINGMANAGER_NAME: Bridgewater Associates, LP
FILINGMANAGER_STREET: One Nyala Farms Road
FILINGMANAGER_CITY: Westport
FILINGMANAGER_STATEORCOUNTRY: CT
FORM13FFILENUMBER: 028-11794
** Rank 2 (score = 81.818) **
ACCESSION_NUMBER: 0001085146-25-004534
REPORTCALENDARORQUARTER: 30-JUN-2025
FILINGMANAGER_NAME: Bridgewater Advisors Inc.
FILINGMANAGER_STREET: 600 FIFTH AVENUE
FILINGMANAGER_CITY: NEW YORK
FILINGMANAGER_STATEORCOUNTRY: NY
FORM13FFILENUMBER: 028-16088
...
Exact search a fund using accession number
If you know the accession number of the fund, you could precisely identify the fund using:
python3 scripts/search_fund.py \
--accession_number 0001172661-25-003151 \
--quarter 2025-q2
It will result to exactly one match if found:
** Rank 1 (score = 100.000) **
ACCESSION_NUMBER: 0001172661-25-003151
REPORTCALENDARORQUARTER: 30-JUN-2025
FILINGMANAGER_NAME: Bridgewater Associates, LP
FILINGMANAGER_STREET: One Nyala Farms Road
FILINGMANAGER_CITY: Westport
FILINGMANAGER_STATEORCOUNTRY: CT
FORM13FFILENUMBER: 028-11794
Fuzzy search a stock using its name
Similarly, you can fuzzy search a stock information, such as CUSIP, by its name as keywords:
python3 scripts/search_stock_cusip.py \
--keywords palantir \
--topk 10
Search Results:
** Rank 1 (score = 90.000) **
Name: palantir technologies inc
CUSIP: 69608A108
** Rank 2 (score = 90.000) **
Name: palantir technologies inc
CUSIP: 69608A108
...
What ships with it
2 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.
- 8d ago First seen · 83 lines · 39 tokens per session scan A d3a1180be787
fuzzy-name-search is a skill published in the GitHub repository xuansenpa1/skillrevise (56 stars, last pushed 7d ago), licensed MIT. It adds 39 tokens to every session and 709 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to fuzzy-name-search, differing in 0 lines, and is treated as a copy.
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