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 takara-ai/miru-code --skill aws-transform-modernizationgit clone --depth 1 https://github.com/takara-ai/miru-codeWrote 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/takara-ai/miru-code/aws-transform-modernization)<a href="https://agentmods.dev/skills/takara-ai/miru-code/aws-transform-modernization"><img src="https://agentmods.dev/badge/skills/takara-ai/miru-code/aws-transform-modernization/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/takara-ai/miru-code/aws-transform-modernization"><img src="https://agentmods.dev/badge/skills/takara-ai/miru-code/aws-transform-modernization.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 | $0.00060 | $0.00717 |
| Opus 5.5 | $0.00024 | $0.00287 |
| Sonnet 5.5 | $0.00012 | $0.00143 |
| Haiku 4.5 | $0.00006 | $0.00072 |
Grade A, and why
aws-transform-modernization 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 4d 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 — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Miru for modernization assessment
Use Miru MCP as the default code-exploration path when assessing a legacy or unfamiliar codebase for migration/modernization.
Miru supports a self-hosted SageMaker embedding backend instead of Takara-hosted — see docs/self-hosted-sagemaker.md and run miru setup --sagemaker to opt in. An endpoint and AWS identity are customer-specific, so this is not configured automatically.
When to use it
Use Miru when the task looks like:
- map dependencies for this module
- identify high-risk or high-complexity modules
- find all callers of this routine, and from where
- find everything related to this legacy interface, copybook, or subroutine
- what does this routine actually do, before porting it
For exact literal lookups, use locate instead of search:
- env var names
- exact error codes
- quoted string matches
Workflow
- Call
searchonce withreposet to the project root. - If a result has
truncated: true, read the lines in its header (path:start-end Symbol) with a ranged read; useexpandwithfile_pathandanchor_linefor neighbouring chunks. - Use
find_relatedto find similar code patterns in other files (e.g. other copies of a legacy routine, parallel implementations). For callers and dependents, usesearchwith the routine/interface name. - For exact literal lookups (env var names, error codes, quoted strings), use
locatewithmode=countorlocationsrather thansearch. - Read files directly only after Miru has already identified the relevant path.
Tool preference
- Prefer Miru
searchover grep/glob/bash exploration when mapping what a legacy module does. - Prefer a ranged read of the hit's
start-endlines (or Miruexpand) over rereading whole files when a hit is truncated. - Prefer Miru
find_relatedover repeated search paraphrases when looking for similar code (other copies, parallel implementations) — cryptic legacy naming conventions make keyword search unreliable for this. - Prefer Miru
locateover grep for exact substrings — env vars, symbols, error codes — cryptic legacy naming makes keyword search unreliable here too, andlocateis built for exact matches, notsearch.
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.
- 4d ago Changed 319440dc2bbc
- 1mo ago Changed 1adf4bac5c52
- 1mo ago First seen · 52 lines · 60 tokens per session scan A cad2e5842195
aws-transform-modernization is a skill published in the GitHub repository takara-ai/miru-code (12 stars, last pushed 5d ago), licensed MIT. It adds 60 tokens to every session and 717 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 2026-09-16.
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