SkillsBench is a benchmark for measuring how effectively AI agents use modular skills—folders containing instructions, scripts, and resources—to complete specialized tasks. It helps researchers and developers evaluate both skill quality and agent behavior, including tasks that require combining multiple skills. The catalogue’s skills and instructions are evaluated as part of this workflow.
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 benchflow-ai/skillsbench --skill fuzzy-name-searchgit clone --depth 1 https://github.com/benchflow-ai/skillsbenchWrote 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/benchflow-ai/skillsbench/fuzzy-name-search)<a href="https://agentmods.dev/skills/benchflow-ai/skillsbench/fuzzy-name-search"><img src="https://agentmods.dev/badge/skills/benchflow-ai/skillsbench/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/benchflow-ai/skillsbench/fuzzy-name-search"><img src="https://agentmods.dev/badge/skills/benchflow-ai/skillsbench/fuzzy-name-search.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 | $0.00039 | $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 6d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- fuzzy-name-search — 100% identical, 0 lines differ
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.
- 6d ago First seen · 83 lines · 39 tokens per session scan A d3a1180be787
fuzzy-name-search is a skill published in the GitHub repository benchflow-ai/skillsbench (1,757 stars, last pushed 1mo ago), licensed Apache-2.0. 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
portfolio
Cross-chain DeFi portfolio discovery, rebalancing suggestions, and NEAR Intent construction. Activates when the user pastes a wallet address or asks about yield/positions/rebalancing. Bootstraps a per-user "portfolio" project, aggregates positions across all the user's addresses inside one project, and offers a…
trader-setup
One-time onboarding for the financial trader workflow — real-time alerts, position-aware relevance, decision journaling with outcome tracking. After successful setup this skill is excluded from selection until the marker file is deleted.
fuzzy-fund-search
Fuzzy matching techniques for finding hedge funds by name when exact names are unknown.
portfolio-analysis
Analyzing fund portfolios including AUM extraction, holdings counts, and portfolio composition.
sec13f-data-format
Understanding SEC 13-F filing data structure, TSV format, and key tables for hedge fund analysis.
13f-data-analysis
Analyze SEC 13-F filings data including AUM, holdings count, and cross-quarter comparisons using TSV files.