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/travisun/opptrix/breadth-diffusionnpx skills add Travisun/Opptrix --skill breadth-diffusiongit clone --depth 1 https://github.com/Travisun/OpptrixWhat 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 | $0.00073 | $0.00540 |
| Opus 5 | $0.00036 | $0.00270 |
| Sonnet 5 | $0.00015 | $0.00108 |
| Haiku 4.5 | $0.00007 | $0.00054 |
Grade A, and why
breadth-diffusion 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 2d 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
扩散指标择时
方法溯源 东北证券扩散指标：用成分/宇宙多标的统计市场广度，再对广度序列做双均线状态。
何时使用
用户要看「有多少股票在涨 / 站上均线」及其趋势状态。默认网页。
取数与运行
- 取指数/板块成分 → 批量日 K 写入同一
bars（多symbol）。 - 运行：
python scripts/breadth_diffusion.py --input data.json --output result.json
create_web。
参数
params.mode：advance（默认，上涨家数占比）|above_maparams.ma_n：站上均线窗口（默认 60）params.fast/params.slow：广度快/慢平滑（默认 20 / 10）
输出
signal：状态序列（1 偏多 / 0 偏空或观望）series.breadth/advance_ratio/above_ma_ratio
样本非全市场时须在报告写明宇宙范围。
依赖
仅标准库。
禁止
- 单标的假装市场广度；荐股；跳过 web
What ships with it
2 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.
- 2d ago First seen · 59 lines · 73 tokens per session scan A 2080a72e8527
breadth-diffusion is a skill published in the GitHub repository Travisun/Opptrix (224 stars, last pushed 4d ago), licensed Apache-2.0. It adds 73 tokens to every session and 540 once invoked, about $0.0004 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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