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 algoderiv/agent-skills --skill tqsdkgit clone --depth 1 https://github.com/algoderiv/agent-skillsWrote 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/algoderiv/agent-skills/tqsdk)<a href="https://agentmods.dev/skills/algoderiv/agent-skills/tqsdk"><img src="https://agentmods.dev/badge/skills/algoderiv/agent-skills/tqsdk/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/algoderiv/agent-skills/tqsdk"><img src="https://agentmods.dev/badge/skills/algoderiv/agent-skills/tqsdk.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 | $0.00040 | $0.05247 |
| Opus 5.5 | $0.00016 | $0.02099 |
| Sonnet 5.5 | $0.00008 | $0.01049 |
| Haiku 4.5 | $0.00004 | $0.00525 |
Grade A, and why
tqsdk scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
requests.post(webhook, data=dumps(msg), The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
47 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.
- references/api_ref_1_tqsdkalgorithm_-_算法模块_p1.md 15 KB
- references/api_ref_1_tqsdkalgorithm_-_算法模块_p2.md 1.7 KB
- references/api_ref_10_版本变更_p1.md 18 KB
- references/api_ref_10_版本变更_p2.md 17 KB
- references/api_ref_10_版本变更_p3.md 471 B
- references/api_ref_11_基于时间维度目标持仓策略.md 15 KB
- references/api_ref_12_tqsdklib_-_业务工具库.md 19 KB
- references/api_ref_13_tqsdkrisk_rule_-_风控类模块.md 15 KB
- references/api_ref_14_自然语言投研edb_数据服务_扣子coze.md 4.1 KB
- references/api_ref_2_tqsdktqsim_-_本地模拟交易.md 18 KB
- references/api_ref_3_tqsdktafunc_-_序列计算函数_p1.md 14 KB
- references/api_ref_3_tqsdktafunc_-_序列计算函数_p2.md 4.7 KB
- references/api_ref_4_tqsdkobjs_-_业务对象.md 15 KB
- references/api_ref_5_交易策略示例.md 15 KB
- references/api_ref_6_tqsdk_专业版.md 5.3 KB
- references/api_ref_7_tqsdkta_-_技术指标计算函数_p1.md 16 KB
- references/api_ref_7_tqsdkta_-_技术指标计算函数_p2.md 1.9 KB
- references/api_ref_8_tqsdktqctp_-_直连_ctp_交易类.md 11 KB
- references/api_ref_9_tqsdktqapi_-_框架及核心业务_p1.md 21 KB
- references/api_ref_9_tqsdktqapi_-_框架及核心业务_p2.md 18 KB
- references/api_ref_9_tqsdktqapi_-_框架及核心业务_p3.md 277 B
- references/getting_started.md 10 KB
- references/index.md 226 B
- references/strategies_arbitrage_p1.md 14 KB
- references/strategies_arbitrage_p2.md 20 KB
- references/strategies_arbitrage_p3.md 18 KB
- references/strategies_arbitrage_p4.md 18 KB
- references/strategies_arbitrage_p5.md 8.0 KB
- references/strategies_other_p1.md 17 KB
- references/strategies_other_p2.md 19 KB
- references/strategies_other_p3.md 18 KB
- references/strategies_other_p4.md 22 KB
- references/strategies_other_p5.md 5.6 KB
- references/strategies_trend_a_p1.md 19 KB
- references/strategies_trend_a_p2.md 20 KB
- references/strategies_trend_a_p3.md 18 KB
- references/strategies_trend_a_p4.md 17 KB
- references/strategies_trend_b_p1.md 5.1 KB
- references/strategies_trend_b_p2.md 5.3 KB
- references/strategies_trend_b_p3.md 4.3 KB
- references/usage_1_策略程序回测.md 17 KB
- references/usage_2_tqsdk_与_vnpy_有哪些差别.md 18 KB
- references/usage_3_批量回测_参数搜索及其它.md 17 KB
- references/usage_4_在_trae_中高效学习和使用_tqsdk.md 15 KB
- references/usage_5_在_cursor_中高效学习和使用_tqsdk_p1.md 19 KB
- references/usage_5_在_cursor_中高效学习和使用_tqsdk_p2.md 3.4 KB
- references/usage_6_策略程序图形化界面.md 2.7 KB
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.
- 1mo ago First seen · 550 lines · 40 tokens per session scan A 80b42b07d293
tqsdk is a skill published in the GitHub repository algoderiv/agent-skills (59 stars, last pushed 7mo ago), with no licence file. It adds 40 tokens to every session and 5,247 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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