Borrowing it
Nothing to install: this file belongs to greyhaven-ai/sygaldry. 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/greyhaven-ai/sygaldry/main/AGENTS.mdgit clone --depth 1 https://github.com/greyhaven-ai/sygaldryWrote 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/instructions/greyhaven-ai/sygaldry/agents-md)<a href="https://agentmods.dev/instructions/greyhaven-ai/sygaldry/agents-md"><img src="https://agentmods.dev/badge/instructions/greyhaven-ai/sygaldry/agents-md/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/instructions/greyhaven-ai/sygaldry/agents-md"><img src="https://agentmods.dev/badge/instructions/greyhaven-ai/sygaldry/agents-md.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 | $0.02416 | $0.02416 |
| Opus 5 | $0.01208 | $0.01208 |
| Sonnet 5 | $0.00483 | $0.00483 |
| Haiku 4.5 | $0.00242 | $0.00242 |
Grade A, and why
sygaldry AGENTS.md 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- sygaldry CLAUDE.md — 92% identical, 133 lines differ
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sygaldry Development Guidelines
Context
Sygaldry is an AI framework for building LLM-powered applications with reusable components.
Core Technologies
- Python 3.12+ with type hints
- Mirascope for LLM integration
- Pydantic for data validation
- Component-based architecture
Development Standards
Mirascope Integration
- Use
@prompt_templatedecorators - Define Pydantic response models
- Implement async/await patterns
- Support multiple LLM providers
Component Structure
- component.json manifest required
- Registry dependencies managed
- Documentation in sygaldry.md format
- Comprehensive examples included
Available Components
- text_summarization_agent (agent): Advanced text summarization agent using chain-of-thought reasoning, few-shot learning, and iterative refinement. Supports multiple styles (technical, executive, simple, academic, journalistic) and progressive summarization with validation.
- multi_source_news_verification (agent): Advanced multi-source news verification agent with comprehensive fact-checking tools including academic search, government data verification, social media verification, and expert source validation for combating misinformation
- multi_agent_coordinator (agent): Orchestrates multiple specialized agents to solve complex tasks through intelligent task decomposition, agent selection, and result synthesis
- recruiting_assistant_agent (agent): Recruiting assistant for finding qualified candidates using Exa websets. Helps with technical recruiting, sales hiring, and executive search.
- game_theory_analysis (agent): Analyzes complex strategic situations using game theory principles, identifying equilibria, predicting outcomes, and providing actionable recommendations
- enhanced_knowledge_graph_agent (agent): Enhanced knowledge graph extraction using advanced prompt engineering. Features meta-reasoning for strategy planning, chain-of-thought entity extraction with detailed reasoning, multi-pass relationship detection, and self-consistency validation for high-accuracy results.
- document_segmentation_agent (agent): Agent for intelligently segmenting documents into logical parts. Supports multiple strategies including semantic, structural, hybrid, and fixed-size segmentation. Features document structure analysis, segment summarization, and optimized chunking for vector embeddings.
- knowledge_graph_agent (agent): Agent for extracting structured knowledge from text by identifying entities and their relationships. Builds comprehensive knowledge graph representations with support for hierarchical relationships, graph enrichment, and visualization-ready outputs.
- prompt_engineering_optimizer (agent): Advanced prompt optimization agent that analyzes, generates variants, performs A/B testing, and delivers production-ready optimized prompts with comprehensive documentation
- academic_research_agent (agent): Academic research agent for finding research papers using Exa websets. Perfect for academics, researchers, and anyone needing to discover scholarly publications.
- game_playing_catan (agent): Multi-model turn-based Settlers of Catan game agent supporting AI vs AI, human vs AI, or mixed gameplay with resource management, trading, and strategic building
- research_assistant_agent (agent): AI-powered research agent that conducts comprehensive research using Exa search
- pii_scrubbing_agent (agent): Agent for detecting and removing Personally Identifiable Information (PII) from text. Combines regex patterns and LLM analysis for comprehensive PII detection. Supports multiple scrubbing methods including masking, redaction, generalization, and synthetic data replacement.
- dataset_builder_agent (agent): AI-powered dataset builder that creates curated data collections using Exa Websets with custom criteria and enrichments
- dnd_game_master (agent): A comprehensive D&D 5e game master agent with full rules enforcement and persistent campaign state. Features SQLite-based state persistence for multi-session campaigns, fair dice rolling with modifiers, complete D&D 5e API integration, multi-model orchestration, turn-based combat with positioning, spell slot tracking, condition management, death saves, XP/leveling, exhaustion, skill proficiencies, inventory management, and dynamic roleplay with human-in-the-loop support.
- multi_platform_social_media_manager (agent): Enhanced multi-platform social media campaign manager with trend analysis, engagement prediction, and real-time adaptation capabilities for comprehensive campaign orchestration
- decision_quality_assessor (agent): Comprehensive decision quality assessment agent that analyzes context, evaluates alternatives, detects cognitive biases, and provides actionable recommendations for better decision-making
- sales_intelligence_agent (agent): Sales intelligence agent for finding targeted business contacts and companies using Exa websets. Perfect for sales prospecting, lead generation, and market intelligence.
- market_intelligence_agent (agent): Market intelligence agent for tracking investment opportunities and market trends using Exa websets. Perfect for VCs, analysts, and business development professionals.
- web_search_agent (agent): Unified web search agent supporting multiple providers (DuckDuckGo, Qwant, Exa, Nimble) with configurable search strategies. Features privacy-focused, AI-powered semantic search, structured data extraction, comprehensive, and auto-selection modes.
- game_playing_diplomacy (agent): Multi-model turn-based Diplomacy game agent supporting AI vs AI, human vs AI, or mixed gameplay with sophisticated diplomatic negotiation and strategic planning
- hallucination_detector_agent (agent): AI-powered hallucination detection agent that verifies factual claims using Exa search
- dynamic_learning_path (agent): Generates personalized, adaptive learning paths based on individual skills, goals, and learning preferences with comprehensive resource curation
- sourcing_assistant_agent (agent): Sourcing assistant for finding suppliers, manufacturers, and solutions using Exa websets. Perfect for procurement, supply chain management, and technology sourcing.
- code_generation_execution_agent (agent): Agent for generating and safely executing Python code. Analyzes code for safety, supports multiple safety levels, and provides recommendations for improvement. Features sandboxed execution environment and comprehensive code analysis.
- docx_search_tool (tool): Microsoft Word document search and content extraction tool with advanced text search, regex support, and metadata extraction
- directory_search_tool (tool): Advanced file system navigation and search tool with pattern matching, content search, and filtering capabilities
- sqlalchemy_db (tool): SQLAlchemy ORM tool for advanced database operations and agent state management
- firecrawl_scrape_tool (tool): Firecrawl-powered web scraping tool that extracts clean, structured content from websites. Handles JavaScript-rendered pages and provides multiple output formats including Markdown, HTML, and screenshots.
- git_repo_search_tool (tool): Git repository search tool for searching code, files, and commits in both local Git repositories and GitHub. Supports pattern matching, file filtering, and commit history search.
- code_interpreter_tool (tool): Safe Python code execution tool with sandboxing, timeout controls, and variable capture
- pg_search_tool (tool): PostgreSQL database search and query tool with full-text search, connection pooling, and schema introspection
- dice_roller (tool): A fair and transparent dice rolling tool for tabletop RPGs. Supports all standard dice types (d4-d100), modifiers, advantage/disadvantage, and provides detailed roll results with timestamps.
- mdx_search_tool (tool): MDX documentation search tool with JSX component parsing, frontmatter support, and section extraction
- csv_search_tool (tool): CSV search tool for searching and filtering structured data within CSV files. Supports column-specific searches, data filtering, and both exact and fuzzy matching capabilities.
- code_docs_search_tool (tool): Technical documentation search tool for API docs, README files, code comments, docstrings, and code examples
- json_search_tool (tool): JSON search tool for searching and querying within JSON files and data structures. Supports JSONPath expressions, fuzzy matching, and searching in both keys and values.
- pdf_search_tool (tool): PDF search tool that enables searching for text within PDF documents using fuzzy matching. Extracts text from PDFs and provides context-aware search results with page numbers and match scores.
- exa_websets_tool (tool): Advanced web data collection tools using Exa Websets. Create curated collections of web data with search criteria and structured enrichments for building datasets.
- dnd_5e_api (tool): A comprehensive tool for accessing official D&D 5th Edition content via the D&D 5e API. Provides detailed information about spells, classes, monsters, equipment, races, feats, skills, conditions, magic items, and more. Includes advanced search with filters and support for all SRD content types.
- url_content_parser_tool (tool): URL content parsing tool that extracts clean text content from web pages. Removes scripts, styles, and other noise to provide readable text content.
- sqlite_db (tool): SQLite database tool for persistent agent state storage
- nimble_search_tool (tool): Multi-API search tool using Nimble's Web, SERP, and Maps APIs for comprehensive search capabilities
- qwant_search_tool (tool): Privacy-focused web search tools using Qwant search engine. Provides structured search results with no user tracking, using unified models compatible with other search providers.
- duckduckgo_search_tool (tool): DuckDuckGo web search tools with clean, structured results. Provides comprehensive search coverage using the duckduckgo-search library.
- exa_search_tools (tool): AI-powered search tools using Exa. Features neural search, direct Q&A, and similarity search with advanced filtering and relevance scoring.
- youtube_video_search_tool (tool): YouTube video search and transcript extraction tool for content analysis and research
- xml_search_tool (tool): XML data processing tool with XPath queries, namespace support, validation, and advanced search capabilities
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 · 113 lines · 2,416 tokens per session scan A c9ec12bf3cd7
sygaldry AGENTS.md is an instructions file published in the GitHub repository greyhaven-ai/sygaldry (11 stars, last pushed 3mo ago), licensed MIT. It adds 2,416 tokens to every session, about $0.0121 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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