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 skill-creatorgit 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/skill-creator)<a href="https://agentmods.dev/skills/himself65/finance-skills/skill-creator"><img src="https://agentmods.dev/badge/skills/himself65/finance-skills/skill-creator/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/skill-creator"><img src="https://agentmods.dev/badge/skills/himself65/finance-skills/skill-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00095 | $0.03477 |
| Opus 5.5 | $0.00038 | $0.01391 |
| Sonnet 5.5 | $0.00019 | $0.00695 |
| Haiku 4.5 | $0.00010 | $0.00348 |
Grade A, and why
skill-creator scanned grade A 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 20d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| Is live data reachable? | `curl -s endpoint` | Live data vs cached/default | How it starts
The opening of the file, as written. The whole thing — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Creator
Create, evaluate, and iterate on high-quality agent skills. This skill covers the whole lifecycle: planning what the skill should do, writing SKILL.md and reference files, scoring quality against a rubric, and iterating until the skill meets production standards.
Philosophy: A great skill is precise, not long. Its description routes the right requests to it. Its body gives the model the context it can't get anywhere else — the environment, tool contracts, defaults, domain judgment, and the reasons behind each constraint — and leaves out what a capable model already does on its own. Current Claude models follow instructions closely and literally, so every line gets acted on: an over-scripted or shouting skill produces rigid, over-cautious output, while a clear goal and quality bar let the model plan the work itself. references/writing-guide.md covers this in detail.
Runtime adaptation: Skills that touch external tools should detect what is installed, authenticated, and reachable at runtime and adapt, rather than assuming a single method. Offer fallback paths where real alternatives exist. See references/dynamic-calling.md for the pattern catalog.
Step 1: Understand What the User Wants
Classify the request into one of these modes:
| User Intent | Mode | Jump To |
|---|---|---|
| Create a brand-new skill | Create | Step 2 |
| Improve / fix an existing skill | Improve | Step 6 |
| Evaluate / score a skill's quality | Evaluate | Step 7 |
If ambiguous, ask: "Do you want to create a new skill, improve an existing one, or evaluate one?"
Gather Requirements (for Create mode)
Before writing anything, answer these questions (ask the user if unclear):
| Question | Why it matters |
|---|---|
| What task does the skill automate? | Defines the core workflow |
| Who is the target user? | Determines complexity and terminology level |
| What tools/APIs/CLIs does it use? | Determines dependencies and platform restrictions |
| What does the user provide as input? | Defines parameters and defaults |
| What should the output look like? | Defines the output contract |
| Does it need API keys or credentials? | Determines required_environment_variables |
| Should it work on Claude.ai or only CLI? | Determines platform field and dynamic commands |
What ships with it
7 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.
- 20d ago Changed · +2 lines · -119 tokens per session d957be74044c
- 1mo ago First seen · 286 lines · 214 tokens per session scan A b2093073e744
skill-creator is a skill published in the GitHub repository himself65/finance-skills (3,414 stars, last pushed 5d ago), licensed MIT. It adds 95 tokens to every session and 3,477 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
quotient
Prediction-market intelligence for Polymarket agents. Quotient runs a multi-role AI forecasting pipeline over 1,600+ sources and publishes daily trade signals with side, entry prices, conviction tiers, capacity, and convergence reads. Pull forecasts (with what-changed deltas), recent sources (articles + X posts), the…
delu-oracle
Full-cognition token analysis for Base EVM tokens via the deluagent oracle. Pass a CA or cashtag, get back a flat decision header (action, conviction, entry/stop/size, read) plus full cognition report. Tiered x402 pricing — 100M+ DELU free, 50M+ 50k DELU, public 250k DELU. Sequential calls only.
lonestaroracle-data
Live pay-per-call data for crypto and DeFi protocol risk, funding rates, open interest, liquidations, stablecoin health, macro, equities, and on-chain intelligence — settled per query in USDC on Base via x402, no signup or API key.
rhagent
Trade and post on rhagent.bot via Bankr. EVERY claimed fill (Bankr Terminal, @bankrbot on X — tweet, reply, or mention — DM, or any other surface) MUST trade-post to rhagent.bot BEFORE the reply. Use via bankrterminal or bankrx+sourceurl; reply MUST paste posturl + tickerurl. Explorer/Blockscout alone is a failure.…
backtesting-sim
Backtesting and simulation: vectorized backtesting, paper trading simulation, strategy A/B testing, automated strategy building, natural language to strategy, and trading plan generation. USE FOR: backtest, backtesting, paper trading, simulation, strategy builder, A/B test strategies, natural language strategy…
cross-asset-relationships
Cross-asset and quantitative analysis: pair correlations, correlation heatmaps, currency strength, cross-timeframe divergence, intermarket analysis, market breadth, carry trades, swap rates, risk premia, and multi-pair baskets. USE FOR: correlation, currency strength, intermarket, market breadth, carry trade, swap…