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 agents/itdojp/ae-framework/intent-agentgit clone --depth 1 https://github.com/itdojp/ae-frameworkWhat 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 | $0.00000 | $0.05717 |
| Opus 5 | $0.00000 | $0.02858 |
| Sonnet 5 | $0.00000 | $0.01143 |
| Haiku 4.5 | $0.00000 | $0.00572 |
Grade A, and why
intent-agent 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 yesterday.
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 — 813 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Intent Agent
English
The Intent Agent is a core component of the ae-framework Phase 1, responsible for requirements gathering, analysis, and intent extraction from multiple sources. It transforms raw requirements into structured formats that feed into subsequent phases of the architectural engineering process.
Overview
The Intent Agent handles the crucial first phase of ae-framework by:
- Requirements Gathering: Collecting requirements from diverse sources including text, documents, conversations, issues, emails, and diagrams
- Natural Language Processing: Extracting structured requirements from unstructured natural language
- User Story Generation: Converting requirements into user stories with proper acceptance criteria
- Use Case Creation: Building comprehensive use case models with actors, flows, and exceptions
- Domain Modeling: Identifying entities, relationships, bounded contexts, and aggregates
- Ambiguity Detection: Finding and suggesting resolutions for ambiguous requirements
- Risk Analysis: Identifying potential risks and their mitigation strategies
- Assumption Management: Tracking assumptions that need validation
- Stakeholder Analysis: Analyzing stakeholder concerns and detecting conflicts
- Traceability: Creating links between requirements and downstream artifacts
- Specification Generation: Creating templates for Gherkin, OpenAPI, AsyncAPI, and GraphQL specifications
Architecture
Core Components
IntentAgent
├── Requirements Processing
│ ├── Source Extraction
│ ├── Natural Language Analysis
│ └── Requirement Categorization
├── Analysis & Modeling
│ ├── User Story Generation
│ ├── Use Case Creation
│ ├── Domain Model Building
│ └── Stakeholder Analysis
├── Quality Assurance
│ ├── Ambiguity Detection
│ ├── Completeness Validation
│ └── Risk Assessment
└── Output Generation
├── Specification Templates
├── Traceability Matrix
└── Structured Reports
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.
- yesterday First seen · 813 lines · 0 tokens per session scan A 326b87f461e4
intent-agent is an agent published in the GitHub repository itdojp/ae-framework (2 stars, last pushed 1mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 5,717 tokens. 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.
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