Finance Skills is a collection of agent skills for financial analysis and trading, covering activities such as company valuation, earnings research, market analysis, and options calculations. It is for users who want coding agents to perform structured finance workflows, and the catalogue contains its skills, plugins, instructions, and MCP integration.
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 himself65/finance-skills --skill company-valuationgit clone --depth 1 https://github.com/himself65/finance-skillsWrote 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/himself65/finance-skills/company-valuation)<a href="https://agentmods.dev/skills/himself65/finance-skills/company-valuation"><img src="https://agentmods.dev/badge/skills/himself65/finance-skills/company-valuation/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/himself65/finance-skills/company-valuation"><img src="https://agentmods.dev/badge/skills/himself65/finance-skills/company-valuation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 | $0.00234 | $0.03909 |
| Opus 5 | $0.00117 | $0.01954 |
| Sonnet 5 | $0.00047 | $0.00782 |
| Haiku 4.5 | $0.00023 | $0.00391 |
Grade A, and why
company-valuation 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 11d 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:
- company-valuation — 97% identical, 13 lines differ
How it starts
The opening of the file, as written. The whole thing — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Company Valuation
Triangulates intrinsic value via three methods, then blends them to an implied share price:
- DCF — 5-year FCFF projection, discount at WACC, terminal value.
- Relative — apply peer median P/E, EV/Revenue, EV/EBITDA.
- SOTP — when 2+ distinct reporting segments exist, value each at pure-play peer multiples.
Always present a WACC × terminal-growth sensitivity table and Bull/Base/Bear scenarios.
Disclaimer: Research/educational output. Not financial advice.
Step 1: Detection Flow
Detect data source and runtime deps. The skill supports 2 method paths — pick the richest one available.
Environment status:
!`python3 -c "exec('try:\n import yfinance, numpy, pandas\n print(\'YFIN_OK\')\nexcept Exception:\n print(\'YFIN_MISSING\')')"`
!`python3 -c "exec('try:\n import yfinance as yf\n t=yf.Ticker(\'^TNX\')\n p=t.fast_info.last_price\n print(f\'RF_10Y={p/100:.4f}\')\nexcept Exception:\n print(\'RF_FETCH_FAIL\')')"`
Decision tree:
| Condition | Method path |
|---|---|
YFIN_OK |
Path A (primary): yfinance for financials + peer multiples |
YFIN_MISSING |
Path B: pip-install yfinance, then Path A. python3 -m pip install -q yfinance numpy pandas |
RF_FETCH_FAIL |
Use default rf = 0.045 and note stale risk-free rate in output |
If RF_10Y= printed, use that value as rf in Step 4d instead of the hardcoded 4.5%.
Step 2: Choose Methods & Set Defaults
Method applicability
| Company type | DCF | Relative | SOTP | Fallback |
|---|---|---|---|---|
| Mature cash-flow (CPG, telecom, utilities) | ✅ primary | ✅ | ❌ | — |
| High-growth SaaS / software | ✅ with care | ✅ primary | ❌ | Use EV/Revenue + Rule of 40 |
| Multi-segment conglomerate | ✅ | ✅ | ✅ primary | See references/sotp.md |
| Banks / insurance | ❌ | ✅ (P/B, P/TBV) | ❌ | DDM or excess return; note in output |
| Pre-revenue | ❌ | EV/Revenue only | ❌ | Flag low confidence |
| REITs | ❌ | ✅ (P/FFO, P/AFFO) | ❌ | NAV-based |
| Cyclicals (energy, semis, industrials) | ✅ on mid-cycle | ✅ | sometimes | Normalize through-cycle |
What ships with it
5 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.
- 11d ago First seen · 302 lines · 234 tokens per session scan A 47ae00e2ab7f
company-valuation is a skill published in the GitHub repository himself65/finance-skills (3,309 stars, last pushed 14d ago), licensed MIT. It adds 234 tokens to every session and 3,909 once invoked, about $0.0012 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 2026-08-30.
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