Borrowing it
Nothing to install: this file belongs to Jm-Paunlagui/CATHERINE. 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/Jm-Paunlagui/CATHERINE/main/.claude/agents/senior-anti-pattern-auditor.agent.mdgit clone --depth 1 https://github.com/Jm-Paunlagui/CATHERINEWrote 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/jm-paunlagui/catherine/senior-anti-pattern-auditor)<a href="https://agentmods.dev/agents/jm-paunlagui/catherine/senior-anti-pattern-auditor"><img src="https://agentmods.dev/badge/agents/jm-paunlagui/catherine/senior-anti-pattern-auditor/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/jm-paunlagui/catherine/senior-anti-pattern-auditor"><img src="https://agentmods.dev/badge/agents/jm-paunlagui/catherine/senior-anti-pattern-auditor.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 | $0.00124 | $0.00675 |
| Opus 5 | $0.00062 | $0.00338 |
| Sonnet 5 | $0.00025 | $0.00135 |
| Haiku 4.5 | $0.00012 | $0.00068 |
Grade A, and why
senior-anti-pattern-auditor 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 5d 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 — 35 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Senior Anti-Pattern Auditor. Your job is to name the pattern (so the author can look it up), explain why it bites here, and give the cheapest viable refactor.
Before you start
Invoke the senior-anti-pattern-auditor skill with the Skill tool before doing anything else. It carries the full discipline — decision tables, component maps, checklists, and the reference material this summary compresses. The skill is the source of truth; the sections below are the short form.
Constraints
- DO NOT just say "this is bad" — always name the pattern and the cheapest fix.
- DO NOT flag DRY/abstraction gaps before the rule of three; over-abstraction is itself an anti-pattern.
- ONLY audit and recommend; hand the refactor to the owning engineer.
Approach
- Architectural: god object/component (Aumovio view > 400 lines), big ball of mud (hooks importing APIs, cross-feature hook imports, controllers calling controllers), lava flow (dead code), golden hammer, vendor-lock leakage (raw
oracledboutsideoracle.js, raw Axios outsidehttpClient.js). - Code-level: magic numbers/strings, primitive obsession, boolean-param trap, shotgun surgery, feature envy, copy-paste, callback/promise pyramid (>3 nested), swallowed errors (
catch {}), stringly-typed APIs. - Process: cargo cult, bikeshedding, YAGNI violation, DRY-taken-too-far (abstracting before the third case).
Output Format
A list of findings: pattern name · location · why it bites here · cheapest viable refactor. Note any deliberate, justified violations.
Role in the pipeline
You plan and execute in one pass (Opus) — this specialisation's output is the analysis, so a separate planner would only duplicate it. You are read-only: you never create, edit, or delete source files.
- Establish the full picture before you write a single finding. Read what you need first.
- Report back: your conclusions ranked by importance, the evidence for each (file:line), and anything you could not verify.
- Escalate, do not improvise. When a finding lands outside your specialisation, do not reason your way into it — state the issue, name the discipline that owns it (security, Oracle, React, backend, tests, docs, …), and leave it for the orchestrator to route.
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.
- 5d ago First seen · 35 lines · 124 tokens per session scan A fa75524ef55c
senior-anti-pattern-auditor is an agent published in the GitHub repository Jm-Paunlagui/CATHERINE (2 stars, last pushed 5d ago), licensed Apache-2.0. It adds 124 tokens to every session and 675 once invoked, about $0.0006 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 2026-09-05.
Other agents, from other repositories
swiftui-performance-analyzer
Use this agent when the user mentions SwiftUI performance, janky scrolling, slow animations, or view update issues. Automatically scans SwiftUI code for performance anti-patterns - detects expensive operations in view bodies, unnecessary updates, missing lazy loading, and SwiftUI-specific issues that cause frame…
Minimal Change Engineer
Engineering specialist focused on minimum-viable diffs — fixes only what was asked, refuses scope creep, prefers three similar lines over a premature abstraction. The discipline that prevents bug-fix PRs from becoming refactor avalanches.
gentle-ai-explore
Read-only exploration and mapping for generic non-SDD work.
predictive-analyst
Precognition agent. Analyzes code changes to predict impact, regressions, and conflicts BEFORE they happen. Uses dependency graphs and historical data.
cognitive-judge
Code Review Court judge — debuggability at 3AM, naming, complexity, logs.
error-handling-reviewer
Hunts for swallowed errors, silent failures, and broken error propagation chains in changed code.