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 DanielTomaro13/sportsdata-agents --skill reading_a_racecardgit clone --depth 1 https://github.com/DanielTomaro13/sportsdata-agentsWrote 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/danieltomaro13/sportsdata-agents/reading_a_racecard)<a href="https://agentmods.dev/skills/danieltomaro13/sportsdata-agents/reading_a_racecard"><img src="https://agentmods.dev/badge/skills/danieltomaro13/sportsdata-agents/reading_a_racecard/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/danieltomaro13/sportsdata-agents/reading_a_racecard"><img src="https://agentmods.dev/badge/skills/danieltomaro13/sportsdata-agents/reading_a_racecard.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 | $0.00042 | $0.00535 |
| Opus 5 | $0.00021 | $0.00267 |
| Sonnet 5 | $0.00008 | $0.00107 |
| Haiku 4.5 | $0.00004 | $0.00053 |
Grade A, and why
reading_a_racecard 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 12d 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
Reading a racecard
A racecard is the runners for one race with the facts that move prices. Read it in this order, and never quote a price without checking for late scratchings first.
Fields that matter
- Barrier (gate/box) — inside draws suit some tracks/distances; wide draws cost ground. Note it; don't over-weight it.
- Weight — handicaps carry weight to level the field; a big weight rise on a proven horse is a negative, a drop a positive.
- Jockey / driver / trainer — strike-rate context, not destiny. Top stables and hoops shorten prices; that's often already in the market.
- Form string — recent placings (e.g.
1-3x2):x= a spell, numbers = finish positions,0= out of the placings. Recency and class of those runs matter more than the raw numbers. - Scratchings — a scratched runner changes every other runner's chance and the market percentage. ALWAYS re-pull the card for scratchings before quoting.
Turning prices into probability
- Win market: convert each price to an implied probability (
1/price), sum them — the total exceeds 1 by the overround (the book's margin).vig_removalnormalises the field to fair probabilities; compare fair prob to the price you can actually get. - Place markets and each-way pay fractions of the win odds — never compare a win price to a place price as if they're the same market.
Cross-book and exotics
- The best win price is rarely at the same book across runners — quote the book and
the price, per runner (
best_price). - For multis/SRM, surface the book's
same_race_multisuggestions and their combined price; don't hand-roll combinations or imply a guaranteed collect.
Honesty
Racing is high-variance. Report form, fair probability and the best price; the user decides. Never call a horse a "good thing", a "lock", or a "special".
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.
- 12d ago First seen · 41 lines · 42 tokens per session scan A e7d9196f81e5
reading_a_racecard is a skill published in the GitHub repository DanielTomaro13/sportsdata-agents (5 stars, last pushed 9d ago), licensed MIT. It adds 42 tokens to every session and 535 once invoked, about $0.0002 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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