Hedgefundmonitor

What it does

When your agent uses it

• Working with hedge fund data
• Systemic risk monitoring
• Financial stability research
• Hedge fund leverage

Example prompts

• “/hedgefundmonitor”

Requirements

• Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit efc0b96. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Hosts in commands or code, which the agent is likely to contact:

  • data.financialresearch.gov

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Hedgefundmonitor loads about 1.7k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 159 tokens; SKILL.md has 509 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~159

When it runs · the whole SKILL.md, loaded when a task matches

~1.7k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~10k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from agent-skills-hub/agent-skills-hub at commit efc0b96, republished under its MIT licence (© agent-skills-hub). 509 words, ~1,699 tokens.

name

hedgefundmonitor

description

Query the OFR (Office of Financial Research) Hedge Fund Monitor API for hedge fund data including SEC Form PF aggregated statistics, CFTC Traders in Financial Futures, FICC Sponsored Repo volumes, and FRB SCOOS dealer financing terms. Access time series data on hedge fund size, leverage, counterparties, liquidity, complexity, and risk management. No API key or registration required. Use when working with hedge fund data, systemic risk monitoring, financial stability research, hedge fund leverage or leverage ratios, counterparty concentration, Form PF statistics, repo market data, or OFR financial research data.

license

MIT

metadata.skill-author

K-Dense Inc.

import requests
import pandas as pd

BASE = "https://data.financialresearch.gov/hf/v1"

# List all available datasets
resp = requests.get(f"{BASE}/series/dataset")
datasets = resp.json()
# Returns: {"ficc": {...}, "fpf": {...}, "scoos": {...}, "tff": {...}}

# Search for series by keyword
resp = requests.get(f"{BASE}/metadata/search", params={"query": "*leverage*"})
results = resp.json()
# Each result: {mnemonic, dataset, field, value, type}

# Fetch a single time series
resp = requests.get(f"{BASE}/series/timeseries", params={
    "mnemonic": "FPF-ALLQHF_LEVERAGERATIO_GAVWMEAN",
    "start_date": "2015-01-01"
})
series = resp.json()  # [[date, value], ...]
df = pd.DataFrame(series, columns=["date", "value"])
df["date"] = pd.to_datetime(df["date"])

# Common series examples
mnemonics = [
    "FPF-ALLQHF_LEVERAGERATIO_GAVWMEAN",   # All funds: leverage (gross asset-weighted)
    "FPF-ALLQHF_GAV_SUM",                  # All funds: gross assets (total)
    "FPF-ALLQHF_NAV_SUM",                  # All funds: net assets (total)
    "FPF-ALLQHF_GNE_SUM",                  # All funds: gross notional exposure
    "FICC-SPONSORED_REPO_VOL",             # FICC: sponsored repo volume
]

© agent-skills-hub, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (references) in skills/hedgefundmonitor of agent-skills-hub/agent-skills-hub.

• SKILL.md
• references/api-overview.md
• references/datasets.md
• references/endpoints-combined.md
• references/endpoints-metadata.md
• references/endpoints-series-data.md
• references/examples.md
• references/parameters.md

Open the folder on GitHubat commit efc0b96

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in agent-skills-hub/agent-skills-hub, which our catalogue first saw on October 9, 2026.

• foryourhealth111-pixel/Vibe-Skillsbundled/skills/hedgefundmonitor
• LeonChaoX/qinyan-academic-skillsskills/15-金融与经济数据/hedgefundmonitor