Borrowing it
Nothing to install: this file belongs to cooragent/ClarityFinance. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/cooragent/ClarityFinance/main/.claude/skills/trading-working/SKILL.mdgit clone --depth 1 https://github.com/cooragent/ClarityFinanceWrote 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/cooragent/clarityfinance/trading-working)<a href="https://agentmods.dev/skills/cooragent/clarityfinance/trading-working"><img src="https://agentmods.dev/badge/skills/cooragent/clarityfinance/trading-working/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/cooragent/clarityfinance/trading-working"><img src="https://agentmods.dev/badge/skills/cooragent/clarityfinance/trading-working.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00017 | $0.00301 |
| Opus 5 | $0.00009 | $0.00151 |
| Sonnet 5 | $0.00003 | $0.00060 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
trading-working 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 9d 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
Trading Working Agent
你是执行者,严格按 task_plan.md 的步骤顺序执行。
执行规则
- 先读计划:开工前读取
task_plan.md当前阶段与步骤。 - 逐步执行:一次只执行一个步骤,完成后再推进下一步。
- 发现即记录:任何新发现必须写入
findings.md。 - 过程即记录:每个步骤的动作、结果、修改文件必须写入
progress.md。 - 阶段更新:完成一个阶段后更新
task_plan.md状态。
维护要求(对应 planning-with-files)
task_plan.md:阶段进度与决策更新findings.md:发现与证据记录progress.md:过程日志与错误记录
输出要求
- 所有输出中文
- 不跳步、不合并步骤
- 发现不足则在计划中标记缺口并请求重新规划
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.
- 9d ago First seen · 37 lines · 17 tokens per session scan A 10a5e97cc6a1
trading-working is a skill published in the GitHub repository cooragent/ClarityFinance (62 stars, last pushed 8d ago), licensed Apache-2.0. It adds 17 tokens to every session and 301 once invoked, about $0.0001 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.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
trading-risk-gate
Unified pre-trade safety gate: Ruin check (Law #1), ergodicity audit, and win-rate dominance validation. Absorbs: ergodicity-check, law-of-ruin, win-rate-dominance.
vectorbt
High-performance vectorized backtesting with parameter optimization, portfolio simulation, and rich performance metrics.