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/rgourley/quant-garage/backtest-data-prepnpx skills add rgourley/quant-garage --skill backtest-data-prepgit clone --depth 1 https://github.com/rgourley/quant-garageWhat 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 | $0.00108 | $0.02466 |
| Opus 5 | $0.00054 | $0.01233 |
| Sonnet 5 | $0.00022 | $0.00493 |
| Haiku 4.5 | $0.00011 | $0.00247 |
Grade A, and why
backtest-data-prep 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 3d 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.
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
9 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.
- output-schema.json 10 KB
- README.md 3.0 KB
- references/calendar-alignment.md 6.4 KB
- references/corporate-action-adjustment.md 7.5 KB
- references/output-formats.md 7.3 KB
- references/point-in-time-fundamentals.md 5.9 KB
- references/rendering.md 9.6 KB
- references/survivorship-handling.md 6.0 KB
- requires.yml 2.8 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.
- 3d ago First seen · 202 lines · 108 tokens per session scan A d0086875f439
backtest-data-prep is a skill published in the GitHub repository rgourley/quant-garage (7 stars, last pushed 1mo ago), with no licence file. It adds 108 tokens to every session and 2,466 once invoked, about $0.0005 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 2026-08-31.
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