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 skills-il/tax-and-finance --skill tase-stock-analysisgit clone --depth 1 https://github.com/skills-il/tax-and-financeWrote 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/skills-il/tax-and-finance/tase-stock-analysis)<a href="https://agentmods.dev/skills/skills-il/tax-and-finance/tase-stock-analysis"><img src="https://agentmods.dev/badge/skills/skills-il/tax-and-finance/tase-stock-analysis/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/skills-il/tax-and-finance/tase-stock-analysis"><img src="https://agentmods.dev/badge/skills/skills-il/tax-and-finance/tase-stock-analysis.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 MCP Rug Pull · line 94 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00125 | $0.03293 |
| Opus 5 | $0.00063 | $0.01647 |
| Sonnet 5 | $0.00025 | $0.00659 |
| Haiku 4.5 | $0.00013 | $0.00329 |
Grade A, and why
tase-stock-analysis 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 12d 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:
- tase-stock-analysis — 86% identical, 28 lines differ
How it starts
The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TASE Stock Analysis
Legal notice
This is a free information tool operated by an AI model. It gathers data that has been published to the public and presents it in an organised form. The operators of this tool hold no personal interest in the securities or financial assets it mentions, and receive no consideration, commission, or benefit of any kind for presenting them. All of its outputs are produced automatically by an AI model, with no involvement, review, or approval by a licensed investment adviser.
The output is not investment advice, not investment marketing, and not a recommendation to buy, sell, or hold any security or financial asset. It is not a substitute for advice that takes account of the particular circumstances and needs of each person, and it does not consider your financial position, your investment objectives, or the risk you are able to bear. Market data may be partial, delayed, or wrong, and an AI model may err, omit data, or present a wrong conclusion. Consult a licensed adviser before any investment decision and verify every figure against the official source. All use of its output is the user's sole responsibility.
Instructions
Step 1: Identify the Analysis Type
Ask the user what kind of analysis they need:
| Type | Hebrew | Description | Key Data |
|---|---|---|---|
| Index tracking | מעקב מדד | TA-35 or TA-125 index performance | Index composition, weight, performance |
| Single stock | ניתוח מניה | Individual TASE-listed stock analysis | Price, volume, fundamentals |
| Dual-listed | חברה דואלית | Companies listed on TASE + NASDAQ/NYSE | Arbitrage, currency effect, tax implications |
| Maya filing | דיווח מאי"ה | TASE disclosure filings lookup | Material events, financial reports, insider trades |
| Capital gains | רווחי הון | Tax calculation on securities gains | 25% tax rate, exemptions, offsetting losses |
Step 2: Gather Market Data
Depending on the analysis type, collect:
- Index data: Use
scripts/fetch_tase_data.pyto retrieve TA-35 or TA-125 composition and weights - Stock data: Ticker symbol (TASE uses Hebrew names or numeric codes), current price, volume
- Dual-listed data: Both TASE ticker and US ticker (e.g., NICE on TASE and NICE on NASDAQ)
- Maya filings: Company name or securities number, date range for filings
What ships with it
9 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.
- 12d ago First seen · 179 lines · 125 tokens per session scan A 6bd2fa67492d
tase-stock-analysis is a skill published in the GitHub repository skills-il/tax-and-finance (34 stars, last pushed 3d ago), licensed MIT. It adds 125 tokens to every session and 3,293 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 2026-08-30.
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