evo-sec13f-analyzer

evo-sec13f-analyzer is a skill for Claude Code, Codex from OpenLAIR/OpenSkill. It costs 110 tokens per session (1,013 once invoked), scanned A, original, Apache-2.0.

An analysis toolkit for SEC Form 13F-HR filings, quarterly reports that large investment managers submit to the U.S. Securities and Exchange Commission about their holdings. It reads filing tables, matches manager names, calculates assets and holdings, and compares portfolios.

In plain words
What is it for?
Use it to find a fund's assets and equity positions, compare holdings between quarters, identify major holders, and look up securities by issuer or CUSIP.
Why use it?
It handles filing formats, identifier preservation, duplicate positions, options filtering, and inconsistent manager names that make manual analysis error-prone.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to find a fund's assets and equity positions, compare holdings between quarters, identify major holders, and look up securities by issuer or CUSIP.

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Install with agentmods
npx agentmods add skills/openlair/openskill/evo-sec13f-analyzer
Install

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.

Any agent
npx skills add OpenLAIR/OpenSkill --skill evo-sec13f-analyzer
Clone the repo
git clone --depth 1 https://github.com/OpenLAIR/OpenSkill

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for evo-sec13f-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/skills/openlair/openskill/evo-sec13f-analyzer/github.svg)](https://agentmods.dev/skills/openlair/openskill/evo-sec13f-analyzer)
Your own site
<a href="https://agentmods.dev/skills/openlair/openskill/evo-sec13f-analyzer"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-sec13f-analyzer/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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/openlair/openskill/evo-sec13f-analyzer"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-sec13f-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,013 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00110 $0.01013
Opus 5 $0.00055 $0.00507
Sonnet 5 $0.00022 $0.00203
Haiku 4.5 $0.00011 $0.00101

Measured today against content hash 287312601877, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

evo-sec13f-analyzer 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 today.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/utils.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

tasks-evolved/sec-financial-report/environment/skills/evo-sec13f-analyzer/SKILL.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

evo-sec13f-analyzer

Utilities for SEC Form 13F-HR quarterly TSV analytics.

Key facts

  • SEC EDGAR Release 22.4.1 (Jan 3, 2023): VALUE column is in exact dollars (multiplier = 1) for all filings from 2023 onward. Use value_multiplier=1 for the 2025-q2 / 2025-q3 data in this task.
  • CUSIP is a 9-char alphanumeric. Always load as string and zero-pad to length 9 to preserve leading zeros (Apple = 037833100).
  • TSV columns: tab-delimited, UTF-8.
  • PUTCALL blank = equity; PUT / CALL = options. Exclude options when counting equity positions.
  • AUM (gross portfolio value) lives in SUMMARYPAGE.TABLEVALUETOTAL. Number of equity positions (unique CUSIPs) is computed from INFOTABLE.
  • Fund manager names vary in casing/punctuation. Use RapidFuzz process.extract with fuzz.WRatio and utils.default_process for entity resolution against COVERPAGE.FILINGMANAGER_NAME.

Importing

import sys
sys.path.insert(0, '/app/environment/skills/evo-sec13f-analyzer/scripts')
from utils import (
    load_coverpage, load_infotable, load_summarypage,
    fuzzy_find_manager, get_fund_aum, get_fund_holdings,
    compare_holdings, top_holders_of_cusip, find_cusip_for_issuer,
)

Typical workflow

cp_q3 = load_coverpage('/root/2025-q3/COVERPAGE.tsv')
it_q3 = load_infotable('/root/2025-q3/INFOTABLE.tsv')
sp_q3 = load_summarypage('/root/2025-q3/SUMMARYPAGE.tsv')

# Q1: fund AUM via fuzzy match
matches = fuzzy_find_manager(cp_q3, 'renaissance technologies', top_n=5)
accn = matches.iloc[0]['ACCESSION_NUMBER']
aum = get_fund_aum(sp_q3, accn)

# Q2: number of stocks held
holdings = get_fund_holdings(it_q3, accn)
n_stocks = len(holdings)

# Q3: top buys delta
holdings_q2 = get_fund_holdings(it_q2, accn_q2)
holdings_q3 = get_fund_holdings(it_q3, accn_q3)
deltas = compare_holdings(holdings_q2, holdings_q3)
top_buys_cusips = deltas.head(5)['CUSIP'].tolist()

# Q4: top holders of a CUSIP
plt_cusip = '69608A108'  # Palantir Class A
top3 = top_holders_of_cusip(it_q3, cp_q3, plt_cusip, n=3)

Read the full file on GitHub · 67 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. today First seen · 67 lines · 110 tokens per session scan A 287312601877

Subscribe to this mod's changes

evo-sec13f-analyzer is a skill published in the GitHub repository OpenLAIR/OpenSkill (88 stars, last pushed yesterday), licensed Apache-2.0. It adds 110 tokens to every session and 1,013 once invoked, about $0.0006 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 2026-09-11.

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