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 Yijia-Xiao/FinanceHarness --skill ticker-snapshotgit clone --depth 1 https://github.com/Yijia-Xiao/FinanceHarnessWrote 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/yijia-xiao/financeharness/ticker-snapshot)<a href="https://agentmods.dev/skills/yijia-xiao/financeharness/ticker-snapshot"><img src="https://agentmods.dev/badge/skills/yijia-xiao/financeharness/ticker-snapshot/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/yijia-xiao/financeharness/ticker-snapshot"><img src="https://agentmods.dev/badge/skills/yijia-xiao/financeharness/ticker-snapshot.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 | $0.00029 | $0.00243 |
| Opus 5 | $0.00015 | $0.00121 |
| Sonnet 5 | $0.00006 | $0.00049 |
| Haiku 4.5 | $0.00003 | $0.00024 |
Grade A, and why
ticker-snapshot 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.
This is a copy
100% identical to ticker-snapshot — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Ticker snapshot
Produce a tight, grounded overview of one equity.
Workflow
- Pull
data_equity_referencefor identity, sector/industry, market cap, beta, current price, 52-week range, and P/E. - Pull
data_equity_prices(1y) for the recent trend — SMA(20/50/200), any golden/death cross, realized volatility. - Write a short snapshot: what the company is, its scale and classification, where the price sits in its range, and the recent technical picture.
Principles
- Report the numbers and named canon the tools return (SMA, golden/death cross); let the figures speak. Note when a field is unavailable rather than guessing.
- Keep it to the essentials a reader needs to orient on the name quickly.
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 · 29 lines · 29 tokens per session scan A 60f3c173151c
ticker-snapshot is a skill published in the GitHub repository Yijia-Xiao/FinanceHarness (129 stars, last pushed 19d ago), licensed Apache-2.0. It adds 29 tokens to every session and 243 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ticker-snapshot, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
ticker-snapshot
Quick structured overview of a single public equity — identity, sector, market cap, valuation ratios, current price, recent trend.
agent-trading-predictor
Agent skill for trading-predictor - invoke with $agent-trading-predictor.
agent-agentic-payments
Agent skill for agentic-payments - invoke with $agent-agentic-payments.
agent-payments
Agent skill for payments - invoke with $agent-payments.
dcf-valuation
Estimate a public equity's intrinsic value with a discounted-cash-flow model — pull fundamentals, set a discount rate via CAPM/WACC, project free cash flow, and discount it.
equity-deep-dive
A thorough single-equity deep dive — read the recent qualitative picture from the web, then ground it in fundamentals and health ratios, an intrinsic DCF with a sensitivity range, a comparable-company cross-check, and the analyst-consensus view.