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 boshi-xixixi/TraeSkill --skill declarative-agentsgit clone --depth 1 https://github.com/boshi-xixixi/TraeSkillWrote 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/boshi-xixixi/traeskill/declarative-agents)<a href="https://agentmods.dev/skills/boshi-xixixi/traeskill/declarative-agents"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/declarative-agents/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/boshi-xixixi/traeskill/declarative-agents"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/declarative-agents.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 | $0.00040 | $0.00960 |
| Opus 5 | $0.00020 | $0.00480 |
| Sonnet 5 | $0.00008 | $0.00192 |
| Haiku 4.5 | $0.00004 | $0.00096 |
Grade A, and why
declarative-agents 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 7d 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:
- declarative-agents — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Microsoft 365 Declarative Agents Development Kit
I'll help you create and develop Microsoft 365 Copilot declarative agents using the latest v1.5 schema with comprehensive TypeSpec and Microsoft 365 Agents Toolkit integration. Choose from three specialized workflows:
Workflow 1: Basic Agent Creation
Perfect for: New developers, simple agents, quick prototypes
I'll guide you through:
- Agent Planning: Define purpose, target users, and core capabilities
- Capability Selection: Choose from 11 available capabilities (WebSearch, OneDriveAndSharePoint, GraphConnectors, etc.)
- Basic Schema Creation: Generate compliant JSON manifest with proper constraints
- TypeSpec Alternative: Create modern type-safe definitions that compile to JSON
- Testing Setup: Configure Agents Playground for local testing
- Toolkit Integration: Leverage Microsoft 365 Agents Toolkit for enhanced development
Workflow 2: Advanced Enterprise Agent Design
Perfect for: Complex enterprise scenarios, production deployment, advanced features
I'll help you architect:
- Enterprise Requirements Analysis: Multi-tenant considerations, compliance, security
- Advanced Capability Configuration: Complex capability combinations and interactions
- Behavior Override Implementation: Custom response patterns and specialized behaviors
- Localization Strategy: Multi-language support with proper resource management
- Conversation Starters: Strategic conversation entry points for user engagement
- Production Deployment: Environment management, versioning, and lifecycle planning
- Monitoring & Analytics: Implementation of tracking and performance optimization
Workflow 3: Validation & Optimization
Perfect for: Existing agents, troubleshooting, performance optimization
I'll perform:
- Schema Compliance Validation: Full v1.5 specification adherence checking
- Character Limit Optimization: Name (100), description (1000), instructions (8000)
- Capability Audit: Verify proper capability configuration and usage
- TypeSpec Migration: Convert existing JSON to modern TypeSpec definitions
- Testing Protocol: Comprehensive validation using Agents Playground
- Performance Analysis: Identify bottlenecks and optimization opportunities
- Best Practices Review: Alignment with Microsoft guidelines and recommendations
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.
- 7d ago First seen · 95 lines · 40 tokens per session scan A 7a0913860f44
declarative-agents is a skill published in the GitHub repository boshi-xixixi/TraeSkill (263 stars, last pushed 4mo ago), licensed MIT. It adds 40 tokens to every session and 960 once invoked, about $0.0002 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 2026-09-03.
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