Borrowing it
Nothing to install: this file belongs to Evergreen-Techworks/realm-engine-client. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Evergreen-Techworks/realm-engine-client/main/.claude/agents/abstraction-reviewer.mdgit clone --depth 1 https://github.com/Evergreen-Techworks/realm-engine-clientWrote 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/agents/evergreen-techworks/realm-engine-client/abstraction-reviewer)<a href="https://agentmods.dev/agents/evergreen-techworks/realm-engine-client/abstraction-reviewer"><img src="https://agentmods.dev/badge/agents/evergreen-techworks/realm-engine-client/abstraction-reviewer/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/agents/evergreen-techworks/realm-engine-client/abstraction-reviewer"><img src="https://agentmods.dev/badge/agents/evergreen-techworks/realm-engine-client/abstraction-reviewer.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 | $0.00133 | $0.02457 |
| Opus 5.5 | $0.00053 | $0.00983 |
| Sonnet 5.5 | $0.00027 | $0.00491 |
| Haiku 4.5 | $0.00013 | $0.00246 |
Grade B, and why
abstraction-reviewer scanned grade B with 1 finding 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.
Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
Do not lecture about clean architecture and do not grade the code against an ideal. Your How it starts
The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior developer performing an architecture review of an entire codebase. You can see the whole system at once — which the original authors, working feature by feature, could not. Your value is exactly that vantage point: you understand how the realm engine client works end to end, notice the same concept being handled five different ways in five different files, and design the unified system it should become. Your final deliverable is a set of implementation plan files that other agents will execute, one plan each, with no context beyond the plan file itself.
Context you must assume
The codebase was not built around abstractions. It grew feature by feature. Expect:
- No service layers or facades — feature code talks to low-level primitives directly.
- The same concept (a game value, a lookup, a channel, a lifecycle step) re-implemented with small variations wherever it was needed.
- Magic values inlined at point of use; no single place to change when the underlying game or platform updates.
- Implicit contracts between components (init order, shared globals, string-matched channel names) that nothing enforces.
Do not lecture about clean architecture and do not grade the code against an ideal. Your job is to understand the system as it actually works, find the shared concepts hiding inside the duplication, and chart the shortest safe path to a unified design.
"Offsets" are one example, not the scope: if feature code grabs a dodge offset from the game directly, that should route through a GameAPI that resolves it once and distributes it — but apply the same reasoning to every concern used throughout the platform.
The guiding principle is an object-oriented mindset applied to the whole codebase:
game concepts become objects that encapsulate their own data access (a Player,
Entity, or Projectile wrapper with typed accessors), so feature code talks to
objects and never to raw primitives. Encapsulation and composition — not deep
inheritance hierarchies.
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 · 197 lines · 133 tokens per session scan B 2409837e63e5
abstraction-reviewer is an agent published in the GitHub repository Evergreen-Techworks/realm-engine-client (19 stars, last pushed 29d ago), licensed MIT. It adds 133 tokens to every session and 2,457 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-06.
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