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/davidmatousek/agentic-oriented-development-kit/aod-project-plannpx skills add davidmatousek/agentic-oriented-development-kit --skill aod-project-plangit clone --depth 1 https://github.com/davidmatousek/agentic-oriented-development-kitWrote 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/davidmatousek/agentic-oriented-development-kit/aod-project-plan)<a href="https://agentmods.dev/skills/davidmatousek/agentic-oriented-development-kit/aod-project-plan"><img src="https://agentmods.dev/badge/skills/davidmatousek/agentic-oriented-development-kit/aod-project-plan.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 | $0.00059 | $0.01850 |
| Opus 5 | $0.00030 | $0.00925 |
| Sonnet 5 | $0.00012 | $0.00370 |
| Haiku 4.5 | $0.00006 | $0.00185 |
Grade A, and why
~aod-project-plan 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 3d 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 — 263 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architecture Validator Skill
Purpose
Automatically validates architecture documentation (plan.md) for completeness, technical rigor, and alignment with feature specifications. Implements FR-006 from the feature specification.
How It Works
Step 1: Locate Architecture Plan
- Search for
specs/*/plan.mdfiles - If specific feature directory provided, validate that plan.md
- Report if plan.md not found
Step 2: Validate Required Sections
Check for mandatory sections per AOD plan template:
Technical Context (Required)
- Language/Version
- Primary Dependencies
- Storage solution
- Testing approach
- Target Platform
- Project Type
- Performance Goals
- Constraints
- Scale/Scope
Constitution Check (Required)
- All 7 constitutional principles validated
- Evidence for each principle
- Violations justified (if any)
Project Structure (Required)
- Documentation structure
- Source code structure
- File organization
Technology Stack (Required)
- Languages and versions
- Frameworks and libraries
- Database and storage
- Infrastructure components
Step 3: Check Technical Decisions
Verify technical decisions are documented:
- data-model.md: Entity definitions and relationships
- contracts/: API specifications (if applicable)
- research.md: Technical unknowns resolved
Step 4: Validate Spec Alignment
- Compare plan.md with spec.md
- Check all functional requirements addressed
- Verify success criteria have implementation strategy
- Ensure out-of-scope items respected
Step 5: Security Architecture Check
Verify security considerations documented:
- Authentication approach
- Authorization model
- Data protection strategy
- API security measures
- Secrets management
Step 6: Generate Validation Report
✅ Architecture Validation Report
File: specs/{feature-id}/plan.md
Required Sections:
- [✓/✗] Technical Context
- [✓/✗] Constitution Check (7/7 principles)
- [✓/✗] Project Structure
- [✓/✗] Technology Stack
Design Artifacts:
- [✓/✗] data-model.md (entities defined)
- [✓/✗] contracts/ (API specs)
- [✓/✗] research.md (decisions documented)
Quality Checks:
- [✓/✗] All FRs from spec.md addressed
- [✓/✗] Security architecture documented
- [✓/✗] Performance targets specified
- [✓/✗] Complexity justified
Status: READY / NOT READY
Issues Found:
1. [Issue description]
2. [Issue description]
Recommendations:
- [Specific action to resolve each issue]
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.
- 3d ago First seen · 263 lines · 59 tokens per session scan A d042b8f306cf
~aod-project-plan is a skill published in the GitHub repository davidmatousek/agentic-oriented-development-kit (22 stars, last pushed 2mo ago), licensed MIT. It adds 59 tokens to every session and 1,850 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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