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/ccplugins/awesome-claude-code-plugins/ai-divination-skillsnpx skills add ccplugins/awesome-claude-code-plugins --skill ai-divination-skillsgit clone --depth 1 https://github.com/ccplugins/awesome-claude-code-pluginsWrote 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/ccplugins/awesome-claude-code-plugins/ai-divination-skills)<a href="https://agentmods.dev/skills/ccplugins/awesome-claude-code-plugins/ai-divination-skills"><img src="https://agentmods.dev/badge/skills/ccplugins/awesome-claude-code-plugins/ai-divination-skills.svg" alt="Measured on agentmods" 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 | $0.00069 | $0.00416 |
| Opus 5 | $0.00034 | $0.00208 |
| Sonnet 5 | $0.00014 | $0.00083 |
| Haiku 4.5 | $0.00007 | $0.00042 |
Grade A, and why
ai-divination-skills 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 5d 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
AI Divination Skills
This skill wraps ai-divination-skills — an MCP server + Python package providing auditable tarot, I Ching, and Xiao Liu Ren divination tools.
When to use
- User asks for a tarot reading (e.g. 3-card, Celtic Cross)
- User asks for an I Ching / 易经 hexagram with moving lines
- User asks for a 小六壬 / Xiao Liu Ren / Six Yao reading
- User wants reproducible / auditable divination (seed-based) instead of model-imagined cards
Install
pip install ai-divination-skills
Workflow
- Run the CLI for the requested method:
- Tarot:
ai-divination tarot --spread three-card - I Ching:
ai-divination iching --method coin - Xiao Liu Ren:
ai-divination xiaoliuren
- Tarot:
- The CLI prints structured JSON (cards/lines, positions, names, keywords)
- Interpret the JSON in natural language. Do not invent additional cards, swap positions, or change the result; only interpret what the JSON contains.
MCP alternative
If the user is in Claude Desktop, register ai-divination-mcp (stdio JSON-RPC 2.0) and use tools: tarot.draw, iching.cast, xiaoliuren.cast, interpretation_template.
Links
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.
- 5d ago First seen · 35 lines · 69 tokens per session scan A 23b9477b8cb8
ai-divination-skills is a skill published in the GitHub repository ccplugins/awesome-claude-code-plugins (931 stars, last pushed 23d ago), licensed Apache-2.0. It adds 69 tokens to every session and 416 once invoked, about $0.0003 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 2026-08-30.
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