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 fabioc-aloha/Alex_Skill_Mall --skill architecture-refinementgit clone --depth 1 https://github.com/fabioc-aloha/Alex_Skill_MallWrote 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/fabioc-aloha/alex_skill_mall/architecture-refinement)<a href="https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/architecture-refinement"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/architecture-refinement/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/fabioc-aloha/alex_skill_mall/architecture-refinement"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/architecture-refinement.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 | $0.00022 | $0.00895 |
| Opus 5 | $0.00011 | $0.00447 |
| Sonnet 5 | $0.00004 | $0.00179 |
| Haiku 4.5 | $0.00002 | $0.00089 |
Grade A, and why
architecture-refinement 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.
How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architecture Refinement Skill
Meta-skill for maintaining and evolving the AI assistant's cognitive architecture through deliberate documentation and pattern extraction.
Purpose
This skill enables the AI assistant to:
- Recognize when a learning session produces architecture-worthy insights
- Document patterns in the appropriate .github/ location (skills, instructions, prompts)
- Update migration trackers and status tables
- Consolidate knowledge files following KISS/DRY principles
When to Apply
Trigger this skill when:
- A session resolves a recurring problem (document the pattern)
- A skill file is migrated or consolidated (update trackers)
- A new workflow emerges (capture in appropriate .instructions.md)
- User feedback reveals a principle ("don't over-simplify")
Core Patterns
Pattern Recognition Checklist
Before session ends, ask:
| Question | If Yes → Action |
|---|---|
| Did we solve a problem that could recur? | Document in relevant skill file |
| Did we learn something about the AI assistant's architecture? | Update relevant .github/ documentation |
| Did a file get created/deleted/consolidated? | Update migration trackers |
| Did user correct AI behavior? | Add to skill's Anti-Patterns + document principle |
| Did the skill itself get improved during use? | Commit the refinement immediately |
Documentation Location Guide
| What You Learned | Where to Document | Audience |
|---|---|---|
| Technical skill pattern | .github/skills/{name}/SKILL.md |
the AI assistant (AI) |
| Important concepts for user | .github/skills/{name}/SKILL.md |
Human + AI |
| Process improvement | .github/instructions/*.instructions.md |
the AI assistant (AI) |
| Complex workflow | .github/prompts/*.prompt.md |
the AI assistant (AI) |
| Domain expertise | .github/skills/{name}/SKILL.md |
the AI assistant (AI) |
Key Distinction:
.github/skills/= Operational reference during work (the AI assistant + user)
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 · 121 lines · 22 tokens per session scan A 49c75bb08d19
architecture-refinement is a skill published in the GitHub repository fabioc-aloha/Alex_Skill_Mall (4 stars, last pushed today), licensed MIT. It adds 22 tokens to every session and 895 once invoked, about $0.0001 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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