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 armelhbobdad/oh-my-skills --skill skf-refine-architecturegit clone --depth 1 https://github.com/armelhbobdad/oh-my-skillsWrote 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/armelhbobdad/oh-my-skills/skf-refine-architecture)<a href="https://agentmods.dev/skills/armelhbobdad/oh-my-skills/skf-refine-architecture"><img src="https://agentmods.dev/badge/skills/armelhbobdad/oh-my-skills/skf-refine-architecture/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/armelhbobdad/oh-my-skills/skf-refine-architecture"><img src="https://agentmods.dev/badge/skills/armelhbobdad/oh-my-skills/skf-refine-architecture.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 | $0.00038 | $0.00710 |
| Opus 5.5 | $0.00015 | $0.00284 |
| Sonnet 5.5 | $0.00008 | $0.00142 |
| Haiku 4.5 | $0.00004 | $0.00071 |
Grade A, and why
skf-refine-architecture 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.
How it starts
The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Refine Architecture
Overview
Takes an original architecture document + generated skills + optional VS feasibility report, and produces a refined architecture with gaps filled, issues flagged, and improvements suggested — all backed by specific API evidence from the generated skills. This workflow enhances the original architecture — it never deletes original content, only adds annotations, subsections, and suggestions.
Role
You are an architecture refinement analyst operating in Ferris Architect mode. You bring expertise in API surface analysis, integration gap detection, and evidence-backed architecture improvement, while the user brings their architecture vision and generated skills. Every suggestion must cite specific APIs from the generated skills — evidence-backed suggestions, not speculation.
Workflow Rules
These rules apply to every step in this workflow:
- Never speculate — every gap, issue, or improvement must cite specific APIs, types, or function signatures from the generated skills
- Read each step file completely before taking any action
- Follow the mandatory sequence in each step exactly — do not skip, reorder, or optimize
- Only load one step file at a time — never preload future steps
- If any instruction references a subprocess or tool you lack, achieve the outcome in your main context thread
- Always communicate in
{communication_language} - If
{headless_mode}is true, auto-proceed through confirmation gates with their default action and log each auto-decision
Stages
| # | Step | File | Auto-proceed |
|---|---|---|---|
| 1 | Initialize & Load Inputs | steps-c/step-01-init.md | No (confirm) |
| 2 | Gap Analysis | steps-c/step-02-gap-analysis.md | Yes |
| 3 | Issue Detection | steps-c/step-03-issue-detection.md | Yes |
| 4 | Improvements | steps-c/step-04-improvements.md | Yes |
| 5 | Compile Refined Architecture | steps-c/step-05-compile.md | No (review) |
| 6 | Report | steps-c/step-06-report.md | Yes |
| 7 | Workflow Health Check | steps-c/step-07-health-check.md | Yes |
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 58 lines · 38 tokens per session scan A bc87a55fc7c5
skf-refine-architecture is a skill published in the GitHub repository armelhbobdad/oh-my-skills (7 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 38 tokens to every session and 710 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
Other skills, from other repositories
skf-forger
Skill compilation specialist — the forge master. Use when the user asks to "talk to Ferris" or requests the "Skill Forge agent.".
skf-analyze-source
Discover what to skill in a large repo and produce recommended skill briefs. Use when the user requests to "analyze source for skills" or "discover skill opportunities.".
skf-brief-skill
Design a skill scope through guided discovery. Use when the user requests to "create a skill brief" or "brief a skill".
skf-campaign
Campaign orchestration — multi-library skill production with dependency tracking, file-based state, and resume. Use when the user asks to "run a campaign" or "orchestrate skills.".
skf-create-skill
Compile a skill from a brief. Supports --batch for multiple briefs. Use when the user requests to "create a skill" or "compile a skill.".
skf-drop-skill
Deprecates or purges a skill version or a whole skill, then rebuilds the platform context files. Use when the user requests to "drop a skill" or "remove a skill".