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 agentmods add skills/monarchjuno/tradingcodex/tcx-instrumentnpx skills add monarchjuno/tradingcodex --skill tcx-instrumentgit clone --depth 1 https://github.com/monarchjuno/tradingcodexWrote 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/monarchjuno/tradingcodex/tcx-instrument)<a href="https://agentmods.dev/skills/monarchjuno/tradingcodex/tcx-instrument"><img src="https://agentmods.dev/badge/skills/monarchjuno/tradingcodex/tcx-instrument.svg" alt="Measured on agentmods" 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 | $0.00037 | $0.00492 |
| Opus 5 | $0.00018 | $0.00246 |
| Sonnet 5 | $0.00007 | $0.00098 |
| Haiku 4.5 | $0.00004 | $0.00049 |
Grade A, and why
tcx-instrument 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 5d 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.
What it actually says
Instrument Analysis
Use this skill when the workflow depends on instrument mechanics or support boundaries rather than only issuer fundamentals, price action, news, valuation, portfolio fit, or risk.
Universe method:
- Public equity and ETFs: review share class, ADR/ordinary mapping, index/ETF methodology, corporate actions, float, liquidity, borrow/crowding inputs when available, and settlement or market-structure issues.
- Options and derivatives context: review contract terms, expiry, Greeks, implied move, skew, liquidity, exercise/assignment, and margin/readiness gaps when data exists.
- Crypto public markets: review venue fragmentation, spot/futures distinction, funding, custody/account gaps, liquidity, and public market data limits.
- Credit signals, convertibles, preferreds, rates, FX, commodities, and other instruments: identify what can be used as research/risk evidence and what requires a dedicated installed workflow.
Expected output:
- Universe, instrument, and support status
- Instrument identifiers, venue/market convention, contract or methodology facts
- Liquidity, borrow/funding/options/settlement/market-structure evidence when relevant
- Unsupported instrument or underwriting gaps
- Source/as-of posture and stale or missing inputs
- Readiness label:
factual-baseline,screen-grade,not-decision-ready,ready-for-portfolio-risk, orblocked - Open instrument questions and missing support
Decision quality fields when applicable:
evidence_grade,source_freshness,source_qualityconflict_status,decision_readiness,confidencescenario_cases,contrary_evidence,update_triggersinvalidation_conditionsand forecast permission fields when relevant
Role-specific quality:
- Distinguish source-backed instrument facts from analyst assumptions and PM judgment.
- Never infer execution eligibility from research data availability.
- Do not fabricate contract terms, borrow, funding, Greeks, market levels, index weights, credit spreads, settlement terms, or source timestamps.
- If the installed schema, policy, or adapter cannot represent the instrument, label execution as
blockedornot-decision-ready.
Write outputs under trading/reports/instrument/.
What ships with it
1 file 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.
- 5d ago First seen · 42 lines · 37 tokens per session scan A b164ba1d0783
tcx-instrument is a skill published in the GitHub repository monarchjuno/tradingcodex (366 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 37 tokens to every session and 492 once invoked, about $0.0002 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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data-access
A 股零鉴权取数手册。当需要真实的行情 / 市值 / 估值快照、季度报告期累计财务数据、机构一致预期 EPS、PE 历史序列、公告标题、日 K 线、交易日历时使用;只允许运行本 skill 登记的脚本取数(腾讯 / 新浪 / 同花顺 / baostock / 深交所 / 东财),禁止凭模型记忆给数,禁止自造爬虫。概念解释、观点讨论等不需要取数的话题不要加载。.
industry-chain
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