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 tradecatlabs/fatecat --skill master-skill-maingit clone --depth 1 https://github.com/tradecatlabs/fatecatWrote 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/tradecatlabs/fatecat/master-skill-main)<a href="https://agentmods.dev/skills/tradecatlabs/fatecat/master-skill-main"><img src="https://agentmods.dev/badge/skills/tradecatlabs/fatecat/master-skill-main.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00024 | $0.02348 |
| Opus 5 | $0.00012 | $0.01174 |
| Sonnet 5 | $0.00005 | $0.00470 |
| Haiku 4.5 | $0.00002 | $0.00235 |
Grade A, and why
create-master 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 8d 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 — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Master-skill — 佛教法师教学角色生成器
本内容依据历史佛教文献生成,仅供参考学习。如需正式修行指导,请亲近善知识。
触发条件
/create-master或/create-master <法师名>- "帮我创建一个印光大师的教学角色"
- "生成慧能大师的 AI Skill"
- "我想和玄奘法师学习"
预置法师(直接调用,无需生成)
印度
/master-nagarjuna— 龙树菩萨(印度·中观|八宗共祖)
汉传
/master-xuanzang— 玄奘法师(法相唯识宗)/master-kumarajiva— 鸠摩罗什(三论宗/中观)/master-huineng— 慧能大师(禅宗六祖)/master-zhiyi— 智顗大师(天台宗)/master-fazang— 法藏大师(华严宗)/master-yinguang— 印光大师(净土宗)/master-ouyi— 蕅益大师(天台/净土·跨宗派)/master-xuyun— 虚云老和尚(禅宗·五宗兼嗣)
藏传
/master-atisha— 阿底峡尊者(噶当派开祖 · 三士道 · 982-1054)/master-tsongkhapa— 宗喀巴大师(格鲁派创始人 · 三主要道 · 1357-1419)/master-milarepa— 米拉日巴尊者(噶举派 · 大手印 · 1052-1135)
南传
/master-buddhaghosa— 觉音尊者(上座部论师 · 《清净道论》· 5世纪)/master-mahasi-sayadaw— 马哈希尊者(缅甸内观 · 标记法 · 1904-1982)/master-ajahn-chah— 阿姜查(泰国森林禅林派 · 1918-1992)
教学模式(多祖师协作)
/compare-masters— 多位法师对同一问题的并列对比(横向 / 单轮)/master-debate— 祖师就争议议题进行 4 轮交叉辩论(多轮 / 看分歧)/master-curriculum— 按你的传统给出"根基→深入→精研→盲点"学修路径(纵向时序)
选择哪个模式?读
references/teaching-modes.md(含决策树与示例)。
主流程(生成新法师)
Step 1:信息录入
加载 ${CLAUDE_SKILL_DIR}/prompts/intake.md,3 问模式收集:①法师名称(FoJin KG 自动匹配) ②关注方面(教义/修行/讲解/全部) ③语言偏好(按传承默认)。
快捷入口、KG 匹配兜底、名称校验规则细节 → references/workflow-details.md §Step 1。
Step 2:数据采集
使用 ${CLAUDE_SKILL_DIR}/tools/sutra_collector.py --name "<法师名>" --tradition "<传承>" 从 FoJin 采集知识图谱实体、经典内容、传承术语。采集后用 verify_sources.py --check-links 验证 CBETA / BDRC / SC ID。
API 故障 / 超时 / 数据阈值 / 引用规则细节 → references/workflow-details.md §Step 2 + references/source-conventions.md。
Step 3:分析与生成
两阶段分析:教义(prompts/sutra_analyzer.md)→ 风格(prompts/voice_analyzer.md);按 FoJin KG 宗派标签自动选择风格规则。然后 prompts/teaching_builder.md 生成 teaching.md、prompts/voice_builder.md 生成 voice.md(4 层结构)。RAG 检索指引由 prompts/rag_instructions.md 嵌入。
宗派标签清单、Layer 0-3 含义、质量门控阈值 → references/workflow-details.md §Step 3。
Step 3.5:二阶段审查
教义准确性(doctrine_reviewer.md,CBETA 经证覆盖率 ≥ 90%) → 风格一致性(voice_reviewer.md,Layer 0 硬规则完整)。审查顺序不可颠倒。FAIL → 自动修复重审,最多 2 轮,仍 FAIL → 人工介入。
What ships with it
60 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.
- .claude-plugin/marketplace.json 873 B
- .claude-plugin/plugin.json 785 B
- .codex/INSTALL.md 1.2 KB
- .cursor-plugin/plugin.json 802 B
- .github/dependabot.yml 1.6 KB
- .github/ISSUE_TEMPLATE/boundary_violation.yml 2.3 KB
- .github/ISSUE_TEMPLATE/bug_report.yml 2.8 KB
- .github/ISSUE_TEMPLATE/config.yml 880 B
- .github/ISSUE_TEMPLATE/feature_request.yml 1.8 KB
- .github/ISSUE_TEMPLATE/new_master.yml 4.0 KB
- .github/PULL_REQUEST_TEMPLATE.md 2.0 KB
- .github/workflows/npm-publish.yml 3.3 KB
- .github/workflows/persona-fidelity.yml 4.7 KB
- .github/workflows/validate-and-test.yml 8.3 KB
- .github/workflows/verify-links.yml 3.8 KB
- .gitignore 95 B
- .opencode/INSTALL.md 1.0 KB
- .version-bump.json 336 B
- bin/cli.mjs 6.8 KB runs code
- CHANGELOG.md 46 KB
- CODE_OF_CONDUCT.md 3.3 KB
- CONTRIBUTING.md 13 KB
- docs/persona-schema.md 11 KB
- docs/PRD.md 15 KB
- docs/superpowers/plans/2026-06-06-master-skill-v07-debate-curriculum.md 57 KB
- docs/superpowers/plans/2026-06-06-master-skill-v071-cross-critique.md 31 KB
- docs/superpowers/specs/2026-06-06-master-skill-v07-debate-curriculum-design.md 14 KB
- docs/superpowers/specs/2026-06-06-master-skill-v071-cross-critique-design.md 9.8 KB
- docs/superpowers/specs/2026-06-19-huineng-live-grounding-design.md 4.4 KB
- ETHICS.md 15 KB
- gemini-extension.json 318 B
- GEMINI.md 41 B
- hooks/hooks-cursor.json 124 B
- hooks/hooks.json 305 B
- hooks/run-hook.cmd 662 B runs code
- hooks/session-start 3.3 KB
- hooks/tests/test_session_start.sh 4.5 KB runs code
- LICENSE 1.0 KB
- masters/.gitkeep 0 B
- package.json 2.6 KB
- prebuilt/compare/SKILL.md 15 KB
- prebuilt/compare/tests/fidelity.jsonl 4.3 KB
- prebuilt/master-ajahn-chah/meta.json 3.1 KB
- prebuilt/master-ajahn-chah/references/teaching.md 9.1 KB
- prebuilt/master-ajahn-chah/references/voice.md 6.1 KB
- prebuilt/master-ajahn-chah/SKILL.md 10 KB
- prebuilt/master-ajahn-chah/sources/INDEX.md 1.3 KB
- prebuilt/master-ajahn-chah/sources/sutta-excerpts.md 5.6 KB
- prebuilt/master-ajahn-chah/sources/teachings-excerpts.md 8.6 KB
- prebuilt/master-ajahn-chah/tests/fidelity.jsonl 2.3 KB
- prebuilt/master-atisha/meta.json 3.2 KB
- prebuilt/master-atisha/references/teaching.md 7.8 KB
- prebuilt/master-atisha/references/voice.md 5.0 KB
- prebuilt/master-atisha/SKILL.md 10 KB
- prebuilt/master-atisha/sources/bodhipathapradipa-excerpts.md 5.3 KB
- prebuilt/master-atisha/sources/INDEX.md 1.1 KB
- prebuilt/master-atisha/tests/fidelity.jsonl 2.2 KB
- prebuilt/master-buddhaghosa/meta.json 4.5 KB
- prebuilt/master-buddhaghosa/references/teaching.md 10 KB
- prebuilt/master-buddhaghosa/references/voice.md 5.6 KB
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.
- 8d ago First seen · 159 lines · 24 tokens per session scan A 6ffae1014e45
create-master is a skill published in the GitHub repository tradecatlabs/fatecat (203 stars, last pushed 13d ago), licensed MIT. It adds 24 tokens to every session and 2,348 once invoked, about $0.0001 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.
Other skills, from other repositories
anolisa-guide
Use this skill when the user asks about ANOLISA, Alibaba Cloud Linux 4 Agentic Edition, cosh, Copilot Shell, AgentSecCore, AgentSight, Tokenless, ws-ckpt, OS Skills, or any component of ANOLISA. This includes questions about usage, configuration, commands, free quota, billing, pricing, authentication, or how to use…
geo-optimizer-skill
Run geo audit first. It scores the site 0–100 across 8 categories and generates a prioritized action list.
yueyuan
A specialised BaZi analysis system, where BaZi is a Chinese birth-chart method based on birth date and time. It is designed for structured analysis with explicit uncertainty and requires the user to check the chart before deeper interpretation.
technocore-chat
Coordinate with other AI agents over plain HTTP GETs — shared rooms, durable notes, long-polling. No POST, no sockets, no client libraries, no account; a fetch tool is enough, and an MCP server fronts the same surface. Use when you need to leave a message for another agent, wait for one, or persist state across your…
mindmap
Create hierarchical mind maps using PlantUML @startmindmap syntax. Best for brainstorming, topic decomposition, study notes, and decision trees with automatic radial layout, left/right branches, and per-node styling.
greentext
Explain system behavior, request flows, architecture, or implementation logic as short 4chan-style greentext lines. Use when the user asks for a step-by-step explanation, says "explain the logic", asks for "greentext", or wants terse sequential reasoning with each line starting with >.