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 cocoCzl/coco-skills --skill football-betting-assistantgit clone --depth 1 https://github.com/cocoCzl/coco-skillsWrote 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/cococzl/coco-skills/football-betting-assistant)<a href="https://agentmods.dev/skills/cococzl/coco-skills/football-betting-assistant"><img src="https://agentmods.dev/badge/skills/cococzl/coco-skills/football-betting-assistant/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/cococzl/coco-skills/football-betting-assistant"><img src="https://agentmods.dev/badge/skills/cococzl/coco-skills/football-betting-assistant.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 | $0.00132 | $0.01652 |
| Opus 5.5 | $0.00053 | $0.00661 |
| Sonnet 5.5 | $0.00026 | $0.00330 |
| Haiku 4.5 | $0.00013 | $0.00165 |
Grade A, and why
football-betting-assistant 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 15d 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
足球竞彩助手
做透明、可复核的赛前足球投注决策辅助。输出是 Decision Aid，不是确定性推荐。
不可突破的边界
- 使用“倾向、可考虑、参考购买方案、价值不足、Pass”，禁用“必中、稳赢、稳胆、必买、重仓、翻本”。
- 不给资金分配、Kelly 仓位、追损或个性化下注额；金额只用于
N 注 × 2 元/注的票面计算。 - 不从模型记忆编造当前赛程、赔率、阵容、伤停、天气或盘口变化。
- 只使用公开/授权来源，不注册未知免费 API、不猜 key、不登录抓取或绕过访问控制。
- 概率倾向不等于可购买玩法；确认不可售的市场不得进入购买方案，解析失败则标为未验证而非不可售。
模型首先这样做
任务明确时直接调用 scripts/football_skill.py 的对应操作，无需先跑 doctor 或 route。只有意图不明才用 route，本地能力疑问或实际报错才用 doctor，参数不明再查 --help。完整接口见 references/agent-interface.md。实际操作仍做必要的数据和风险校验。
简单查询、已有结果的局部解释可直接在聊天回答；只有涉及当前数据才核实时效与来源，不为术语解释抓全量快照、生成报告或落盘。完整赛前分析再执行下述流程。
请求状态机
- 分类为单场、组合、赛后复盘或历史回测。
- 中国竞彩默认
china-lottery；明确海外博彩公司才用international-odds；无可验证赔率时使用analysis-only。内置fetch仅实现china-lottery / sporttery，海外模式使用已有或授权外部来源数据；缺少可用适配器/赔率就明确限制并降级概率分析，不能静默改抓竞彩。 - 当前/未来竞彩先检查本地快照时效，仅在缺失、过期或用户要求刷新时
fetch --mode china-lottery。无法确认具体比赛时先做 Fixture Discovery；仍失败才索取最少比赛信息。 - 收集比赛身份、时间、地点、赔率/盘口、球队状态和赛事背景，并记录来源与观察时间。冲突不静默平均，按来源质量处理并降低 Data Confidence。
- 按顺序完成 Probability Analysis → Value Judgment → Reference Purchase Plan。没有真实赔率时停止在概率分析；缺少可售市场时不生成该市场购买项。
- 正式主单必须通过风险审计；
report已内置快照校验与audit，相同输入不重复审计。输入或方案变化后重新检查；阻断项必须保护、降级或移除。 - 按实际完成阶段生成单个自包含 HTML 和预测快照；聊天仅返回 2～4 行摘要及路径，并保留数据和模型限制。内置
report只生成市场快照报告，不执行 xG/泊松模型；完整计算入口与手工报告衔接见 接口说明。
按需加载
- 工作流和模式：
references/workflow.md - 数据来源、时效与冲突：
references/data-sources.md - 数学模型与参数：
references/math-model.md、references/model-parameters.md - 报告格式：
references/report-templates.md - 降级和停止规则：
references/downgrade-rules.md - 回测校准：
references/backtesting.md
只读当前任务需要的文件，已读取且未变化的不重复读取。术语不熟悉时再读 references/glossary.md。
分析与购买一致性
- 只有具备可信球队输入并实际计算后才给出 xG 先验、有限调整、最终 xG、Poisson 比分和赛果/大小球概率；缺模型输入时仅交付市场快照与缺口，不推造概率或 edge。
- 有赔率才计算隐含/去水概率、edge 和 Reference Grade。区分 Model Confidence 与 Data Confidence。
- 小组末轮在动机调整前核实排名、积分、净胜球、出线压力、轮换和潜在路线；缺结构化背景的比赛不得进入“模型最稳”。
- 让球结果必须按
主队进球 + 主队让球数 - 客队进球显式核对。候选比分跨越多个让球结果时，要保护、换市场或降级。 - 比分故事与大小球、让球结论必须一致；若不一致，重新校准或清楚说明只有赔率价值才支持逆向选择。
- 组合按真实概率、数据置信、可售玩法和相关性构造，不强迫固定腿数或 2/16/32/48 元档。
- 比分票最多四场；赛果/让球和大小球方向票最多八场。每项写完整选择与
A × B × C = N 注。 - 如果四串一含明显风险腿，另给移除它的更稳三串一；不足三条低风险腿时给二串一并解释。
What ships with it
44 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.
- README.md 1.7 KB
- references/agent-interface.md 5.3 KB
- references/backtesting.md 3.8 KB
- references/data-sources.md 15 KB
- references/downgrade-rules.md 6.4 KB
- references/glossary.md 4.6 KB
- references/math-model.md 9.9 KB
- references/model-parameters.md 7.6 KB
- references/report-templates.md 15 KB
- references/workflow.md 23 KB
- schemas/agent-result.schema.json 1.2 KB
- schemas/backtest-sample.schema.json 5.3 KB
- schemas/fixture.schema.json 919 B
- schemas/football-snapshot.schema.json 6.3 KB
- schemas/html-report.schema.json 6.7 KB
- schemas/match-analysis.schema.json 4.2 KB
- schemas/odds.schema.json 1.4 KB
- schemas/portfolio.schema.json 2.8 KB
- schemas/team-context.schema.json 1.3 KB
- scripts/auto_post_match_review.py 29 KB runs code
- scripts/backtest_predictions.py 13 KB runs code
- scripts/build_snapshot_report.py 25 KB runs code
- scripts/competition_context_calculator.py 7.9 KB runs code
- scripts/fetch_match_data.py 22 KB runs code
- scripts/football_skill.py 15 KB runs code
- scripts/grade_calculator.py 7.6 KB runs code
- scripts/handicap_rules.py 3.8 KB runs code
- scripts/implied_probability.py 2.1 KB runs code
- scripts/inspect_snapshot_markets.py 2.6 KB runs code
- scripts/late_update_rules.py 3.3 KB runs code
- scripts/market_grade_calculator.py 5.9 KB runs code
- scripts/match_model_calculator.py 6.2 KB runs code
- scripts/poisson_calculator.py 6.1 KB runs code
- scripts/portfolio_builder.py 11 KB runs code
- scripts/post_match_review.py 10 KB runs code
- scripts/prediction_snapshot_tools.py 11 KB runs code
- scripts/preflight_risk_audit.py 13 KB runs code
- scripts/recent_form_to_xg.py 3.4 KB runs code
- scripts/render_html_report.py 21 KB runs code
- scripts/score_coverage_analyzer.py 6.6 KB runs code
- scripts/select_snapshot_matches.py 3.2 KB runs code
- scripts/team_context_rules.py 3.6 KB runs code
- scripts/validate_inputs.py 35 KB runs code
- scripts/xg_prior_calculator.py 7.7 KB runs code
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.
- 15d ago Changed 34ccc0fac5ce
- 16d ago Changed · -5 lines 42a0d1782636
- 2mo ago First seen · 74 lines · 132 tokens per session scan A bc5cf3ba5c7d
football-betting-assistant is a skill published in the GitHub repository cocoCzl/coco-skills (5 stars, last pushed 16d ago), licensed MIT. It adds 132 tokens to every session and 1,652 once invoked, about $0.0005 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.
football-betting-assistant compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| football-betting-assistantcocoCzl/coco-skills | Skill | 5 | 16d ago | MIT | A | 132 | Claude Code, Codex |
| sector-rotationHKUDS/Vibe-Trading | Skill | 38k | today | MIT | A | 39 | Claude Code, Codex |
| strategy-pivot-designertradermonty/claude-trading-skills | Skill | 3.7k | today | MIT | A | 28 | Claude Code, Codex |
| twitter-readerhimself65/finance-skills | Skill | 3.5k | 4d ago | MIT | A | 110 | Claude Code |
| energy-procurementhashgraph-online/awesome-codex-plugins | Skill | 1.5k | yesterday | Apache-2.0 | A | 93 | Claude Code, Codex |
| airdrop-hunting-guidenirholas/three.ws | Skill | 269 | yesterday | Apache-2.0 | A | 54 | Claude Code, Codex |
| multi-expert-analyzerdigoal/blog | Skill | 8.6k | 4d ago | GPL-2.0 | A | 292 | Codex |