Borrowing it
Nothing to install: this file belongs to Johnserf-Seed/SportteryAPI. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Johnserf-Seed/SportteryAPI/main/.claude/skills/sporttery-odds/SKILL.mdgit clone --depth 1 https://github.com/Johnserf-Seed/SportteryAPIWrote 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/johnserf-seed/sportteryapi/sporttery-odds)<a href="https://agentmods.dev/skills/johnserf-seed/sportteryapi/sporttery-odds"><img src="https://agentmods.dev/badge/skills/johnserf-seed/sportteryapi/sporttery-odds/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/johnserf-seed/sportteryapi/sporttery-odds"><img src="https://agentmods.dev/badge/skills/johnserf-seed/sportteryapi/sporttery-odds.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 | $0.00102 | $0.01029 |
| Opus 5.5 | $0.00041 | $0.00412 |
| Sonnet 5.5 | $0.00020 | $0.00206 |
| Haiku 4.5 | $0.00010 | $0.00103 |
Grade A, and why
sporttery-odds 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 2mo 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sporttery Odds
This skill drives the Sporttery Odds service in this repository (a Cloudflare Worker REST API + a local MCP server) to fetch and analyze 竞彩足球 odds. All derivation is purely from the odds — no predictions.
Pick an interface (in order of preference)
- MCP tools — if the
sporttery-oddsMCP server is connected, use its tools directly:get_matches,get_match,derive_odds,compare_value,calc_parlay,list_parlay_types,get_meta. This is the primary path. - REST — if a Worker is running/deployed:
GET /api/matches,GET /api/match/:id,POST /api/derive,POST /api/value,POST /api/parlay,GET /api/parlay/types,GET /api/meta. Add the API key if one is configured (Authorization: Bearer <key>). - Local, no server — run the pure engine via Node, e.g.
npm run mcp:smoketo sanity-check, or importsrc/derive.ts/src/parlay.tsin a one-offnode --experimental-strip-typesscript.
Live odds need the service to reach the geo-restricted upstream; the local MCP server reaches it directly, the deployed Worker needs
UPSTREAM_PROXY. Compute tools (derive / value / parlay) work with any odds the user provides — no upstream.
Metric cheat-sheet (what the numbers mean)
- impliedProb =
1/odds— includes the bookmaker margin. - 返还率 returnRate =
1/Σ(1/odds)— theoretical return-to-player. Lower ⇒ bigger margin. 竞彩 SPF is typically ~0.75–0.90. - 去水概率 noVigProb =
(1/odds)/Σ— margin-removed "true" probability (sums to 1). - 真实赔率 fairOdds =
1/noVigProb. - 凯利指数 kelly =
offeredOdds × referenceProb.>1⇒ positive expected value. Needs an EXTERNAL reference (a single odds set degenerates to returnRate). - trend
up/flat/down— sporttery's own odds movement flag.
Common workflows
- "Latest odds for team / league / today" →
get_matcheswithpools,league, ordatefilters. Report each outcome's odds, 去水概率, and the market's 返还率. Don't dump all five pools unless asked —had,hhadis usually enough. - "Is this a value bet?" → get a reference odds set (the user's 欧赔, or a
bookmaker consensus) and call
compare_valuewith{offered, reference}. Flag outcomes wherekelly > 1; mention the EV and (optionally) Kelly stake fraction. - "How much would this parlay pay?" →
calc_parlaywithlegs:[{odds}], apassType(单关,3串1, …) andmultiplier(倍数). Report 注数, 总投注, 最高奖金 (note the 500万 cap). Use per-legresult: win|lose|voidfor a settled-ticket calculation. - "What 过关 types exist for N matches?" →
list_parlay_types?matches=N. - Interpreting a market → high margin / low 返还率 means the book holds more; compare 去水概率 across outcomes for the market's implied view.
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.
- 2mo ago First seen · 63 lines · 102 tokens per session scan A 50c73d3e1ed6
sporttery-odds is a skill published in the GitHub repository Johnserf-Seed/SportteryAPI (22 stars, last pushed yesterday), licensed MIT. It adds 102 tokens to every session and 1,029 once invoked, about $0.0004 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 2026-08-31.
sporttery-odds compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| sporttery-oddsJohnserf-Seed/SportteryAPI | Skill | 22 | yesterday | MIT | A | 102 | Claude Code |
| edge-commercefinsilabs/awesome-ecommerce-skills | Skill | 63 | 14d ago | MIT | A | 30 | Claude Code, Codex |
| cloudflare-expertpersonamanagmentlayer/pcl | Skill | 44 | 11d ago | Apache-2.0 | A | 48 | Claude Code |
| review-stacklouisbrulenaudet/monorepo-template | Skill | 19 | 5d ago | Apache-2.0 | A | 115 | Claude Code, Codex |
| computer_useIceWhaleTech/ZimaOS-Blue | Skill | 29 | 15d ago | MIT | A | 99 | Claude Code, Codex |
| web_queryIceWhaleTech/ZimaOS-Blue | Skill | 29 | 15d ago | MIT | A | 59 | Claude Code, Codex |
| pptxIceWhaleTech/ZimaOS-Blue | Skill | 29 | 15d ago | MIT | A | 30 | Claude Code, Codex |