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 alonf/MCPPythonDemo --skill architectural-proposalsgit clone --depth 1 https://github.com/alonf/MCPPythonDemoWrote 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/alonf/mcppythondemo/architectural-proposals)<a href="https://agentmods.dev/skills/alonf/mcppythondemo/architectural-proposals"><img src="https://agentmods.dev/badge/skills/alonf/mcppythondemo/architectural-proposals/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/alonf/mcppythondemo/architectural-proposals"><img src="https://agentmods.dev/badge/skills/alonf/mcppythondemo/architectural-proposals.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 | $0.00018 | $0.01436 |
| Opus 5.5 | $0.00007 | $0.00574 |
| Sonnet 5.5 | $0.00004 | $0.00287 |
| Haiku 4.5 | $0.00002 | $0.00144 |
Grade A, and why
architectural-proposals 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 1mo 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.
This is a copy
100% identical to architectural-proposals — 302 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context
Proposals create alignment before code is written. Cheaper to change a doc than refactor code. Use this pattern when:
- Architecture shifts invalidate existing assumptions
- Product direction changes require new foundation
- Multiple waves/milestones will be affected by a decision
- External dependencies (Copilot CLI, SDK APIs) change
Patterns
Proposal Structure (docs/proposals/)
Required sections:
- Problem Statement — Why current state is broken (specific, measurable evidence)
- Proposed Architecture — Solution with technical specifics (not hand-waving)
- What Changes — Impact on existing work (waves, milestones, modules)
- What Stays the Same — Preserve existing functionality (no regression)
- Key Decisions Needed — Explicit choices with recommendations
- Risks and Mitigations — Likelihood + impact + mitigation strategy
- Scope — What's in v1, what's deferred (timeline clarity)
Optional sections:
- Implementation Plan (high-level milestones)
- Success Criteria (measurable outcomes)
- Open Questions (unresolved items)
- Appendix (prior art, alternatives considered)
Tone Ceiling Enforcement
Always:
- Cite specific evidence (user reports, performance data, failure modes)
- Justify recommendations with technical rationale
- Acknowledge trade-offs (no perfect solutions)
- Be specific about APIs, libraries, file paths
Never:
- Hype ("revolutionary", "game-changing")
- Hand-waving ("we'll figure it out later")
- Unsubstantiated claims ("users will love this")
- Vague timelines ("soon", "eventually")
Wave Restructuring Pattern
When a proposal invalidates existing wave structure:
- Acknowledge the shift: "This becomes Wave 0 (Foundation)"
- Cascade impacts: Adjust downstream waves (Wave 1, Wave 2, Wave 3)
- Preserve non-blocking work: Identify what can proceed in parallel
- Update dependencies: Document new blocking relationships
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.
- 1mo ago First seen · 152 lines · 18 tokens per session scan A a2a4bb4caf36
architectural-proposals is a skill published in the GitHub repository alonf/MCPPythonDemo (0 stars, last pushed 6mo ago), licensed MIT. It adds 18 tokens to every session and 1,436 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to architectural-proposals, differing in 302 lines, and is treated as a copy.
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