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 victusfate/scaffold --skill code-refinergit clone --depth 1 https://github.com/victusfate/scaffoldWrote 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/victusfate/scaffold/code-refiner)<a href="https://agentmods.dev/skills/victusfate/scaffold/code-refiner"><img src="https://agentmods.dev/badge/skills/victusfate/scaffold/code-refiner/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/victusfate/scaffold/code-refiner"><img src="https://agentmods.dev/badge/skills/victusfate/scaffold/code-refiner.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 | $0.00071 | $0.00123 |
| Opus 5.5 | $0.00028 | $0.00049 |
| Sonnet 5.5 | $0.00014 | $0.00025 |
| Haiku 4.5 | $0.00007 | $0.00012 |
Grade A, and why
code-refiner 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.
What it actually says
Read and follow the complete skill instructions in skills/code-refiner.md.
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 · 12 lines · 71 tokens per session scan A 9eca52da9184
code-refiner is a skill published in the GitHub repository victusfate/scaffold (6 stars, last pushed 3d ago), licensed MIT. It adds 71 tokens to every session and 123 once invoked, about $0.0003 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.
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sage-review
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learn-from-sage
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review-fix-signoff-loop
Use when writing Agent Relay or Ricky workflows that must loop review, fix, and validation with fresh agent context until independent signoff agents, typically Claude and Codex, both agree the work is comprehensively complete. Covers fresh-context iterations, repairable gates, dual reviewer verdict contracts…
simplify
Clean up changed code while preserving intended behavior. Use when the user asks to simplify or improve code quality through reuse, simplification, efficiency, and abstraction reviews. Correctness bug hunting is outside scope.