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 defeat-beta/defeatbeta-api --skill defeatbeta-dcfgit clone --depth 1 https://github.com/defeat-beta/defeatbeta-apiWrote 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/defeat-beta/defeatbeta-api/defeatbeta-dcf)<a href="https://agentmods.dev/skills/defeat-beta/defeatbeta-api/defeatbeta-dcf"><img src="https://agentmods.dev/badge/skills/defeat-beta/defeatbeta-api/defeatbeta-dcf/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/defeat-beta/defeatbeta-api/defeatbeta-dcf"><img src="https://agentmods.dev/badge/skills/defeat-beta/defeatbeta-api/defeatbeta-dcf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Privilege Escalation · line 55 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
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 | $0.00096 | $0.01349 |
| Opus 5 | $0.00048 | $0.00674 |
| Sonnet 5 | $0.00019 | $0.00270 |
| Haiku 4.5 | $0.00010 | $0.00135 |
Grade B, and why
defeatbeta-dcf scanned grade B with 1 finding 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 9d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
- Debian/Ubuntu: `sudo apt-get install libreoffice-calc` How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DCF Valuation Spreadsheet
Build a fully editable, formula-driven DCF model for a public company. All inputs come from the defeatbeta MCP server's get_stock_dcf_analysis tool. The skill renders the data into a single-sheet .xlsx whose every projection, NPV, and fair-price cell is an Excel formula — so the user can change the discount rate, growth-rate assumptions, cash, or share count and watch fair price recalculate.
Workflow
Step 1: Fetch DCF data via MCP
Call the MCP tool:
get_stock_dcf_analysis(symbol="<TICKER>")
If the response contains an error key (e.g. ETFs / indices without financial statements), stop and surface the error to the user.
Step 2: Save the payload to a temporary JSON
# Pseudocode — Claude writes the dict returned by MCP to a temp file
echo "<dcf-data-as-json>" > /tmp/<TICKER>_dcf.json
Step 3: Build the Excel workbook
Run the build script from this skill:
python <SKILL_DIR>/scripts/build_dcf_excel.py /tmp/<TICKER>_dcf.json ./<TICKER>_DCF.xlsx
- Output is
{SYMBOL}_DCF.xlsxin the current working directory by default. - Override path by passing it as the second argument.
Step 4: Recalculate so previewers show numbers
openpyxl writes formula strings but does not evaluate them. Most spreadsheet apps recalc on open, but lightweight previewers (and Claude's file preview) need cached values:
python <SKILL_DIR>/scripts/recalc.py ./<TICKER>_DCF.xlsx
The recalc script uses libreoffice --headless --calc to evaluate every formula and write the cached value back into the file. If LibreOffice is not on PATH, the script prints a warning and exits cleanly — the workbook is still valid, it will just show blank cells in previewers until opened in Excel/Numbers/WPS.
Install LibreOffice if you want in-Claude preview to show numbers:
- macOS:
brew install --cask libreoffice - Debian/Ubuntu:
sudo apt-get install libreoffice-calc - Other: see https://www.libreoffice.org/download/
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.
- 9d ago First seen · 98 lines · 96 tokens per session scan B ac598b93d713
defeatbeta-dcf is a skill published in the GitHub repository defeat-beta/defeatbeta-api (746 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 96 tokens to every session and 1,349 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
dcf-model
Build discounted cash flow valuation workbooks in Excel.
comps-analysis
Build comparable-company valuation workbooks in Excel.
excel-author
Build auditable financial workbooks headless via openpyxl.
lbo-model
This skill should be used when completing LBO (Leveraged Buyout) model templates in Excel for private equity transactions, deal materials, or investment committee presentations. The skill fills in formulas, validates calculations, and ensures professional formatting standards that adapt to any template structure.
3-statement-model
Build integrated IS/BS/CF financial workbooks in Excel.
merger-model
Build M&A accretion/dilution workbooks in Excel.