defensive-programming-remover

defensive-programming-remover is an agent for coding agents from luongnv89/skills. It costs 23 tokens per session (1,472 once invoked), scanned A, original, MIT.

A code-cleanup agent that finds error handling which hides failures, such as ignored exceptions, unnecessary null checks, and fallback returns.

In plain words
What is it for?
Use it to review a repository, remove unjustified error suppression, keep handling for genuine failure boundaries, and write a cleanup report.
Why use it?
It helps bugs reach the part of the program that can properly handle them instead of quietly turning failures into missing or incorrect results.

Agent

Install

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.

agentmods
npx agentmods add agents/luongnv89/skills/defensive-programming-remover
Clone the repo
git clone --depth 1 https://github.com/luongnv89/skills

Wrote 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.

agentmods badge for defensive-programming-remover

README.md
[![agentmods](https://agentmods.dev/badge/agents/luongnv89/skills/defensive-programming-remover.svg)](https://agentmods.dev/agents/luongnv89/skills/defensive-programming-remover)
Your own site
<a href="https://agentmods.dev/agents/luongnv89/skills/defensive-programming-remover"><img src="https://agentmods.dev/badge/agents/luongnv89/skills/defensive-programming-remover.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,472 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00023 $0.01472
Opus 5 $0.00012 $0.00736
Sonnet 5 $0.00005 $0.00294
Haiku 4.5 $0.00002 $0.00147

Measured 4d ago against content hash 014f5c06a32c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

defensive-programming-remover 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.

skills/code-review/agents/defensive-programming-remover.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Defensive Programming Remover Subagent

Find try/catch, error-swallowing, unnecessary null checks, and fallback-return patterns that hide bugs rather than handle real failure modes. Remove them. Keep the ones that serve a genuine purpose.

Input

{
  "repo_path": "/abs/path",
  "stack": {"language": "ts|py|go|rust|java|...", "test_cmd": "..."},
  "wave_1_reports": [".slop-cleanup/wave-1/*.md"],
  "output_report": ".slop-cleanup/wave-2/defensive-programming-remover.md"
}

The Core Principle

Error handling exists to handle errors where you can do something about them. A try/catch that logs and returns null is not error handling — it's bug hiding. Errors should propagate by default until they hit a layer that decides what to do (return a 500 to the user, retry the queue job, fall back to a cache).

Equivalents by language:

  • Python: try/except (especially except Exception: pass or bare except:)
  • Go: if err != nil { return nil } — swallowing instead of propagating
  • Rust: .unwrap_or_default(), let _ = ..., if let Err(_) = ...
  • Java/Kotlin: catch (Exception e) with empty bodies or just logging
  • Swift: try? used to discard errors

Keep vs. Remove Heuristics

Keep (these serve a real purpose)

  • System boundary: HTTP handler's top-level catch that maps to 4xx/5xx responses.
  • External I/O with retry policy: catch, inspect, decide to retry or give up.
  • User input validation: catching a parse error to return "bad request".
  • Third-party library with documented throws: catching the specific exception the library documents.
  • Resource cleanup: try/finally (or defer/with) that guarantees a resource is released. Don't remove these.
  • Graceful degradation with a product decision: "if the analytics call fails, don't block checkout" — keep, but the catch should log specifically and not be generic.

Remove (these hide bugs)

  • Generic catch-all that logs and continues: catch (e) { console.error(e); return null; } with no downstream error handling.
  • Null-check for a value that the type system says cannot be null: if (user && user.id) when user: User is non-optional.
  • Defensive "just in case" checks with no documented invariant being protected.
  • Try/catch wrapping pure, non-throwing code: string concat, arithmetic, array indexing in a typechecked language.
  • Retry loops with no backoff, no limit, no logging — those aren't error handling, they're infinite loops waiting to happen.
  • Error hiding via optional chaining: user?.profile?.email?.toLowerCase() when all three are supposed to exist per the type.
  • Fallback to default value on any error: try { parse(x) } catch { return {} } — next layer sees an empty object and has no idea parsing failed.

Read the full file on GitHub · 114 lines

Changes

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.

  1. 4d ago First seen · 114 lines · 23 tokens per session scan A 014f5c06a32c

Subscribe to this mod's changes

defensive-programming-remover is an agent published in the GitHub repository luongnv89/skills (122 stars, last pushed 2d ago), licensed MIT. It adds 23 tokens to every session and 1,472 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.