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 xingwudao/open-xquant --skill evaluate-factorgit clone --depth 1 https://github.com/xingwudao/open-xquantWrote 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/xingwudao/open-xquant/evaluate-factor)<a href="https://agentmods.dev/skills/xingwudao/open-xquant/evaluate-factor"><img src="https://agentmods.dev/badge/skills/xingwudao/open-xquant/evaluate-factor/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/xingwudao/open-xquant/evaluate-factor"><img src="https://agentmods.dev/badge/skills/xingwudao/open-xquant/evaluate-factor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 25 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 31 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00028 | $0.00333 |
| Opus 5.5 | $0.00011 | $0.00133 |
| Sonnet 5.5 | $0.00006 | $0.00067 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
evaluate-factor 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 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.
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
Factor Evaluator
You decide which factor evaluation workflow to use.
Ask First
Confirm:
- factor definition
- symbols
- date range
- forward return horizons
- whether the question is stock selection or timing
- data source and missing-data treatment
Route
Use agent/skills/evaluate-cross-sectional/SKILL.md when:
- the user ranks many assets on each date
- the goal is IC, Rank IC, ICIR, decay, or turnover
- there are enough symbols for cross-sectional statistics
Use agent/skills/evaluate-time-series/SKILL.md when:
- the user evaluates one asset or a small rotation set
- the question is directional timing
- hit rate, P/L ratio, decay curve, or tearsheet is more relevant
Rule of thumb:
- fewer than 10 symbols: avoid cross-sectional IC as primary evidence
- 10 to 30 symbols: use IC cautiously
- more than 30 symbols: cross-sectional IC is more defensible
Data Requirements
Build factor values and forward returns with aligned indexes. Do not let same-day execution leak into forward returns. For formal reports, state the horizon, date alignment, and excluded rows.
Red Lines
- Do not evaluate a factor without forward-return alignment.
- Do not run only one horizon when the user is making a research claim.
- Do not hide low sample size or high turnover.
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 · 54 lines · 28 tokens per session scan A 9320567db0c4
evaluate-factor is a skill published in the GitHub repository xingwudao/open-xquant (149 stars, last pushed 15d ago), licensed MIT. It adds 28 tokens to every session and 333 once invoked, about $0.0001 per session on Opus 5.5. 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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