Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add thevibeworks/claude-code-docs/plugin install code-modernizationWrote 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/commands/thevibeworks/claude-code-docs/modernize-reimagine)<a href="https://agentmods.dev/commands/thevibeworks/claude-code-docs/modernize-reimagine"><img src="https://agentmods.dev/badge/commands/thevibeworks/claude-code-docs/modernize-reimagine/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/commands/thevibeworks/claude-code-docs/modernize-reimagine"><img src="https://agentmods.dev/badge/commands/thevibeworks/claude-code-docs/modernize-reimagine.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 | $0.00021 | $0.01530 |
| Opus 5 | $0.00010 | $0.00765 |
| Sonnet 5 | $0.00004 | $0.00306 |
| Haiku 4.5 | $0.00002 | $0.00153 |
Grade A, and why
modernize-reimagine 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.
This is a copy
100% identical to modernize-reimagine — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The first token of $ARGUMENTS is the system dir ($1); everything
after it is the target vision — it is usually multiple words, so do not
truncate it to one token. Below, <vision> means that full remainder.
Reimagine legacy/$1 as:
This is not a port — it's a rebuild from extracted intent. The legacy system becomes the specification source, not the structural template. This command orchestrates a multi-agent team with explicit human checkpoints.
The brief is binding — read it first. If analysis/$1/MODERNIZATION_BRIEF.md
exists, this reimagine is executing one of its phases: read it before doing
anything below. Find the phase that names this command with a scope matching
$1 and , and treat that phase's scope, entry criteria, exit
criteria, and any edits the user made to it as binding on the phases below
— on top of, never instead of, this command's own two HITL checkpoints.
Entry criteria are gates, not context: if one is not met (a prior phase's
exit criteria, an SME sign-off the brief requires), meeting it is the
next step — do not proceed past it and do not silently re-plan around it. If
the brief exists but no phase matches, stop and ask which phase this is. The
user steers execution by editing the brief; a brief the execution command
never reads cannot steer anything.
Phase A — Specification mining (parallel agents)
Spawn concurrently and show the user that all three are running:
-
business-rules-extractor — "Extract every business rule from legacy/$1 into Given/When/Then form. Output to a structured list I can parse."
-
legacy-analyst — "Catalog every external interface of legacy/$1: inbound (screens, APIs, batch triggers, queues) and outbound (reports, files, downstream calls, DB writes). For each: name, direction, payload shape, frequency/SLA if discernible. Mask any credential embedded in endpoints or payload examples per your secret-handling rules."
-
legacy-analyst — "Identify the core domain entities in legacy/$1 and their relationships. Return as an entity list + Mermaid erDiagram."
Collect results. Write analysis/$1/AI_NATIVE_SPEC.md containing:
- Capabilities (what the system must do — derived from rules + interfaces)
- Domain Model (entities + erDiagram)
- Interface Contracts (each external interface as an OpenAPI fragment or AsyncAPI fragment)
- Non-functional requirements inferred from legacy (batch windows, volumes)
- Behavior Contract (the Given/When/Then rules — these are the acceptance tests)
Credential values are masked everywhere in the spec; connection details
appear as env-var placeholders (${DATABASE_URL}), never literals.
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 · 138 lines · 21 tokens per session scan A aa2fd191eb9b
modernize-reimagine is a command published in the GitHub repository thevibeworks/claude-code-docs (40 stars, last pushed today), licensed MIT. It adds 21 tokens to every session and 1,530 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to modernize-reimagine, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
documentation-generator
Generate comprehensive documentation for code and APIs.
review
Review the file at $ARGUMENTS for code quality issues.
review-issue
Review and respond to a GitHub issue.
review-pr-ci
Review a pull request and post the review to GitHub (CI/automated use).
review-pr
Review an open pull request and optionally post the review to GitHub.
notebook-review
Comprehensive review of Jupyter notebooks and Python scripts.