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/pymodel/pythinker-cli/judge-overengineering-reviewnpx skills add PyModel/pythinker-cli --skill judge-overengineering-reviewgit clone --depth 1 https://github.com/PyModel/pythinker-cliWrote 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/pymodel/pythinker-cli/judge-overengineering-review)<a href="https://agentmods.dev/skills/pymodel/pythinker-cli/judge-overengineering-review"><img src="https://agentmods.dev/badge/skills/pymodel/pythinker-cli/judge-overengineering-review.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 | $0.00022 | $0.01032 |
| Opus 5 | $0.00011 | $0.00516 |
| Sonnet 5 | $0.00004 | $0.00206 |
| Haiku 4.5 | $0.00002 | $0.00103 |
Grade A, and why
judge-overengineering-review 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Judge Over-Engineering Review
Use when reviewing a non-trivial diff for over-engineering before declaring
the work done. This skill is the parent-facing companion to the
judge-minimum-diff rubric — the parent runs it as a pre-flight pass, and
the judge subagent applies the same rubric as a quality-gate dimension.
When to run
- Before declaring any non-trivial code change complete.
- During code review of a pull request that touches more than one file or introduces new abstractions.
- When a previous implementer or coder's diff feels heavier than the brief required.
For trivial one-line fixes or pure typo corrections, skip this skill — YAGNI applies to review overhead too.
Workflow
-
Read the brief the implementer was given. Note the explicit asks and the explicit non-goals.
-
Read the diff scoped to the allowed paths. Note every new file, new abstraction, new dependency, and new config key.
-
Walk the reduction ladder from
judge-minimum-diff:- Did the diff take the highest rung that holds?
- Is there stdlib / native / installed-dep reuse the diff missed?
- Could the change be one line and isn't?
-
Score each finding under the rubric below.
-
Report in the parent-facing review block format:
path:linefor every finding, severity per §4.1 of the base prompt, the suggested smallest fix.
Review checklist
A diff fails the over-engineering review when it has any of:
- Speculative abstraction. Interface with one implementation, factory for one product, abstract base class with one subclass, config layer for a value that never varies.
- New dependency without justification. The standard library, a native platform feature, or an already-installed dependency could have covered it. A new dep needs a one-line justification in the diff or PR body.
- New config key without a consumer in the same diff. A new key with no reader is dead configuration.
- New file without brief backing. A new module/folder the brief did not ask for, even if "tidier". Reuse the nearest neighbor first.
- Error handling for impossible scenarios. Validating deep in business logic for inputs the boundary already filtered; re-validating after a function the caller controls.
- Boilerplate scaffolding "for later". TODOs that fill a stub, fixtures the test doesn't use, helper modules with no callers yet.
- Formatting churn outside the changed lines. Reformat, rename, or rewrap on lines the brief did not ask to change.
- Self-evident comments. Restating what the next line of code already
says. Comments only earn their keep when they document non-obvious
algorithms, deliberate simplifications with a known ceiling, business
rules, or genuine
TODO:debt. - Clever over boring. Clever is what someone decodes at 3am. Boring is the default; clever needs justification.
- Length-as-quality. A 500-line diff to replace a 50-line problem is a finding, not an accomplishment.
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 · 105 lines · 22 tokens per session scan A 9458fd918f6f
judge-overengineering-review is a skill published in the GitHub repository PyModel/pythinker-cli (20 stars, last pushed 3d ago), licensed Apache-2.0. It adds 22 tokens to every session and 1,032 once invoked, about $0.0001 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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