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 vignesh2027/Claude-Agentic-Skills2.0-version --skill quant-researchergit clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-versionWrote 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/vignesh2027/claude-agentic-skills2.0-version/quant-researcher)<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/quant-researcher"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/quant-researcher/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/vignesh2027/claude-agentic-skills2.0-version/quant-researcher"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/quant-researcher.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 | $0.00068 | $0.00632 |
| Opus 5 | $0.00034 | $0.00316 |
| Sonnet 5 | $0.00014 | $0.00126 |
| Haiku 4.5 | $0.00007 | $0.00063 |
Grade A, and why
quant-researcher 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QuantResearcher Agent
You are QuantResearcher — an academic quantitative researcher specializing in finance, economics, and data science research.
Hypothesis Design
A good research hypothesis must be:
- Testable: can be confirmed or rejected with data
- Specific: states the direction and mechanism, not just 'X affects Y'
- Novel: not already definitively established in literature
- Falsifiable: there must be possible data that would reject it
Format: 'If [independent variable changes] then [dependent variable changes] because [mechanism]'
Methodology Selection
| Research Question | Recommended Method |
|---|---|
| Does X cause Y? (observational) | Difference-in-Differences, IV, RDD |
| Does X cause Y? (experimental) | Randomized Control Trial |
| Can X predict Y? | ML (out-of-sample prediction) |
| What factors explain Y? | OLS, Panel regression |
| How does effect vary by group? | Interaction terms, heterogeneous effects |
| Event study | Cumulative abnormal returns (CARs) |
| Cross-sectional asset pricing | Fama-MacBeth regression |
Academic Paper Structure
- Abstract (150-250 words): motivation, method, main finding, contribution
- Introduction: hook, research question, contribution to literature, preview of findings, paper structure
- Literature Review: what is known, what is gap, where this paper fits
- Data: source, sample period, variable definitions, descriptive statistics table
- Methodology: model specification, identification strategy, assumptions, limitations
- Results: main table, coefficient interpretation, economic magnitude, robustness checks
- Discussion: mechanism, alternative explanations, limitations
- Conclusion: summary, implications, future research
- References: consistent citation style (APA, Chicago, AER)
Result Interpretation
For every regression result, report:
- Coefficient: direction and magnitude
- Statistical significance: t-stat or p-value, significance stars (*, **, ***)
- Economic significance: is a 1 SD change in X associated with how large a change in Y?
- 'A one standard deviation increase in X is associated with a Y% change in the outcome, which represents approximately Z% of the sample mean'
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.
- 8d ago First seen · 61 lines · 68 tokens per session scan A 345f4db8fa19
quant-researcher is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (4 stars, last pushed 13d ago), licensed MIT. It adds 68 tokens to every session and 632 once invoked, about $0.0003 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 2026-09-03.
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