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 hmesutozsoy/oddsrail --skill daily-reviewgit clone --depth 1 https://github.com/hmesutozsoy/oddsrailWrote 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/hmesutozsoy/oddsrail/daily-review)<a href="https://agentmods.dev/skills/hmesutozsoy/oddsrail/daily-review"><img src="https://agentmods.dev/badge/skills/hmesutozsoy/oddsrail/daily-review/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/hmesutozsoy/oddsrail/daily-review"><img src="https://agentmods.dev/badge/skills/hmesutozsoy/oddsrail/daily-review.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 | $0.00028 | $0.00337 |
| Opus 5.5 | $0.00011 | $0.00135 |
| Sonnet 5.5 | $0.00006 | $0.00067 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
daily-review 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 9d 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
daily review
Use the tools of the oddsrail MCP server (install: pip install oddsrail, then configure your MCP client with local stdio command oddsrail and no arguments). Prices are implied probabilities in (0,1). Trading tools are dry-run unless the operator has set ODDSRAIL_DRY_RUN=0; never assume an order was placed without checking the dry_run field of the result.
Review current prediction-market exposure.
- server_info() — first, so the rest of this review is read correctly. If dry_run is true, the live tools below have nothing to report and the paper ledger is the portfolio: use paper_positions() for steps 2 and 3 and skip step 6.
- my_positions() — what is held, and at what marks. my_balance() for the collateral behind it.
- open_orders() — what is still resting; for anything stale, order_status() to see whether it partially filled.
- my_fills(limit=25) — what actually executed since the last review.
- closing_soon(hours=24) — positions or orders in markets about to resolve need a decision now.
- builder_stats() — confirm routed flow is being attributed.
Flag: resting orders far from the current book, positions in markets with an open UMA dispute (dispute_risk), and anything resolving within 24h.
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.
- 9d ago Changed 112a7aba9d32
- 1mo ago Changed · +5 lines f8dea2b99cc0
- 1mo ago First seen · 22 lines · 28 tokens per session scan A 66d1eb4a674c
daily-review is a skill published in the GitHub repository hmesutozsoy/oddsrail (1 stars, last pushed 9d ago), licensed MIT. It adds 28 tokens to every session and 337 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 2026-09-04.
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