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 OpenLAIR/OpenSkill --skill evo-macro-data-ingestiongit clone --depth 1 https://github.com/OpenLAIR/OpenSkillWrote 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/openlair/openskill/evo-macro-data-ingestion)<a href="https://agentmods.dev/skills/openlair/openskill/evo-macro-data-ingestion"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-macro-data-ingestion/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/openlair/openskill/evo-macro-data-ingestion"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-macro-data-ingestion.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 | $0.00047 | $0.00611 |
| Opus 5 | $0.00023 | $0.00305 |
| Sonnet 5 | $0.00009 | $0.00122 |
| Haiku 4.5 | $0.00005 | $0.00061 |
Grade A, and why
evo-macro-data-ingestion 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
evo-macro-data-ingestion
Parses Economic Report of the President (ERP) .xls tables and CPI .xlsx files into clean pandas Series indexed by integer year.
Key Functions
parse_erp_annual_total(filepath, target_year=2024)
Parses an ERP .xls file to extract the annual "Total" column (first data column).
- Handles multi-row headers, trailing periods on years (e.g., '1973.')
- Handles quarterly data at bottom of table
- For partial years (e.g., 2024 with Q1-Q3 only), computes average of available quarters
- Uses
engine="xlrd"for .xls files - Returns: pd.Series indexed by integer year
compute_partial_year_average(df, target_year=2024)
Computes arithmetic mean of available quarterly SAAR values for a partial year.
- Handles ERP quarterly format: '2024: I.' followed by indented ' II.', ' III p.'
- Returns: float or None
process_cpi_annual(filepath)
Reads CPI data from .xlsx file. Auto-detects format:
- Pre-processed annual data (Year + CPI columns)
- Raw FRED monthly CPIAUCSL data (aggregated to annual mean)
- Uses
engine="openpyxl"for .xlsx files - Returns: pd.Series indexed by integer year
Usage
import sys
sys.path.insert(0, '/app/environment/skills/evo-macro-data-ingestion/scripts')
from utils import parse_erp_annual_total, process_cpi_annual
pce_nominal = parse_erp_annual_total('/root/ERP-2025-table10.xls', target_year=2024)
pfi_nominal = parse_erp_annual_total('/root/ERP-2025-table12.xls', target_year=2024)
cpi_annual = process_cpi_annual('/root/CPI.xlsx')
Data Format Notes
ERP Tables (.xls)
- Rows 0-4: Multi-row headers (title, units, column labels)
- Row 5+: Data rows with Period in col 0, Total in col 1
- Years have trailing periods: '1973.'
- Quarterly data appended at bottom: '2024: I.', ' II.', ' III p.'
- Use xlrd engine (xlrd 2.0.1 only supports .xls)
CPI File (.xlsx)
- May be annual (columns: Year, CPI_2024) or monthly FRED data
- Use openpyxl engine for .xlsx files
- CPI_2024 is normalized to 2024=1.0
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.
- yesterday First seen · 57 lines · 47 tokens per session scan A b17875b2623b
evo-macro-data-ingestion is a skill published in the GitHub repository OpenLAIR/OpenSkill (90 stars, last pushed yesterday), licensed Apache-2.0. It adds 47 tokens to every session and 611 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 2026-09-11.
Other skills, from other repositories
data-formats
Reading, writing, and converting common data formats (CSV, Excel, JSON, YAML) with correct handling of encoding, types, and edge cases.
xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for creating new spreadsheets, reading/analyzing data, modifying existing spreadsheets, or recalculating…
xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify…
xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify…
vulnerability-csv-reporting
Generate structured CSV security audit reports from vulnerability data with proper filtering and formatting. This skill covers CSV schema design for security reports, using Python csv.DictWriter, severity-based filtering, and field mapping from JSON to tabular format.
xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify…