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/minhthang1009/dotclaude/modernize-transformnpx skills add MinhThang1009/dotclaude --skill modernize-transformgit clone --depth 1 https://github.com/MinhThang1009/dotclaudeWrote 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/minhthang1009/dotclaude/modernize-transform)<a href="https://agentmods.dev/skills/minhthang1009/dotclaude/modernize-transform"><img src="https://agentmods.dev/badge/skills/minhthang1009/dotclaude/modernize-transform.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 5.1 | $0.00047 | $0.00734 |
| Opus 5 | $0.00023 | $0.00367 |
| Sonnet 5 | $0.00009 | $0.00147 |
| Haiku 4.5 | $0.00005 | $0.00073 |
Grade A, and why
modernize-transform 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 6d 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Transform legacy/$1 module $2 into $3, with proof of behavioral
equivalence.
This is a surgical, single-module transformation — one vertical slice of the
strangler fig. Output goes to modernized/$1/$2/.
Step 0 — Plan (HITL gate)
Read the source module and any business rules in analysis/$1/BUSINESS_RULES.md
that reference it. Then enter plan mode and present:
- Which source files are in scope
- The target module structure (packages/classes/files you'll create)
- Which business rules / behaviors this module implements
- How you'll prove equivalence (test strategy)
- Anything ambiguous that needs a human decision NOW
Wait for approval before writing any code.
Step 1 — Characterization tests FIRST
Before writing target code, spawn the test-engineer subagent:
"Write characterization tests for legacy/$1 module $2. Read the source,
identify every observable behavior, and encode each as a test case with
concrete input → expected output pairs derived from the legacy logic.
Target framework: <appropriate for $3>. Write to
modernized/$1/$2/src/test/. These tests define 'done' — the new code
must pass all of them."
Show the user the test file. Get a 👍 before proceeding.
Step 2 — Idiomatic transformation
Write the target implementation in modernized/$1/$2/src/main/.
Critical: Write code a senior $3 engineer would write from the
specification, not from the legacy structure. Do NOT mirror COBOL paragraphs
as methods, do NOT preserve legacy variable names like WS-TEMP-AMT-X.
Use the target language's idioms: records/dataclasses, streams, dependency
injection, proper error types, etc.
Include: domain model, service logic, API surface (REST controller or equivalent), and configuration. Add concise Javadoc/docstrings linking each class back to the rule IDs it implements.
Step 3 — Prove it
Run the characterization tests:
cd modernized/$1/$2 && <appropriate test command for $3>
Show the output. If anything fails, fix and re-run until green.
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.
- 6d ago First seen · 80 lines · 47 tokens per session scan A 3e12cb774bbd
modernize-transform is a skill published in the GitHub repository MinhThang1009/dotclaude (20 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 734 once invoked, about $0.0002 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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