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 shaoxing-xie/openclaw-data-china-stock --skill strategy-backtestergit clone --depth 1 https://github.com/shaoxing-xie/openclaw-data-china-stockWrote 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/shaoxing-xie/openclaw-data-china-stock/strategy-backtester)<a href="https://agentmods.dev/skills/shaoxing-xie/openclaw-data-china-stock/strategy-backtester"><img src="https://agentmods.dev/badge/skills/shaoxing-xie/openclaw-data-china-stock/strategy-backtester/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/shaoxing-xie/openclaw-data-china-stock/strategy-backtester"><img src="https://agentmods.dev/badge/skills/shaoxing-xie/openclaw-data-china-stock/strategy-backtester.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 | $0.00556 |
| Opus 5 | $0.00015 | $0.00278 |
| Sonnet 5 | $0.00006 | $0.00111 |
| Haiku 4.5 | $0.00003 | $0.00056 |
Grade A, and why
strategy-backtester 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.
What it actually says
Strategy Backtester
目标
在无专用 tool_backtest_* 的当前能力下，基于行情与指标工具完成轻回测编排与绩效分析输出。
输入
- 用户策略描述
- 历史行情数据
- 技术指标数据
输出（固定结构）
- 策略规格与回测窗口
- 收益与风险指标
- 交易统计与参数敏感性
- 限制条件与下一步实验
证据表（必选）
- 列出
tool_fetch_market_data、tool_calculate_technical_indicators等调用与quality_status；收益/回撤等须来自工具或明确声明为 MVP 派生计算 并附公式。
反证与局限（必选）
- 样本外区间、幸存者偏差、未计入成本/滑点时对结论的影响。
强制规则
- 仅通过 manifest /
tool_runner调用依赖工具，禁止引导直连plugins.data_collection。 - 若缺少足够历史数据，输出
insufficient_evidence。 - 若无专用回测工具，必须声明
MVP mode与能力边界。 - 禁止输出买卖点、仓位比例、杠杆建议。
- 参数搜索范围从
config/strategy-backtester_config.yaml读取。
依赖工具
tool_resolve_symbol（L2；标的解析）tool_fetch_market_datatool_calculate_technical_indicatorstool_l4_valuation_context（L4-data；标的含个股时可选并列估值事实字段）
通用输出字段
strategy_specbacktest_windowperformancerisk_metricstrade_statsparameter_sensitivitylimitationsnext_experiments
What ships with it
3 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 · 73 lines · 29 tokens per session scan A a01acb0e4181
strategy-backtester is a skill published in the GitHub repository shaoxing-xie/openclaw-data-china-stock (51 stars, last pushed 4mo ago), licensed MIT. It adds 29 tokens to every session and 556 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.
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