pdf-reader-mcp: Command for OpenCode

.opencode/command/cleanup.md

cleanup is a command for OpenCode from SylphxAI/pdf-reader-mcp. It costs 15 tokens per session (377 once invoked), scanned A, original, MIT.

A command for finding and fixing technical debt, code smells, outdated patterns, unused code, performance issues, and other sources of unnecessary complexity. It also describes testing changes and grouping them into focused commits.

In plain words
What is it for?
Use it to refactor a codebase, remove dead code, simplify functions, fix N+1 database queries, improve performance, or clean up warnings and TODOs.
Why use it?
It reduces maintenance problems such as duplicated code, deeply nested logic, unused dependencies, slow queries, and unresolved lint warnings.

Command for OpenCode

Written for OpenCode: installed under .opencode/. Also seen: agent in frontmatter.

This is SylphxAI/pdf-reader-mcp's own configuration. It tells OpenCode how to work on pdf-reader-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything pdf-reader-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to SylphxAI/pdf-reader-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/SylphxAI/pdf-reader-mcp/main/.opencode/command/cleanup.md
Clone the repo
git clone --depth 1 https://github.com/SylphxAI/pdf-reader-mcp

Made for: OpenCode.

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 cleanup

README.md
[![agentmods](https://agentmods.dev/badge/commands/sylphxai/pdf-reader-mcp/cleanup.svg)](https://agentmods.dev/commands/sylphxai/pdf-reader-mcp/cleanup)
Your own site
<a href="https://agentmods.dev/commands/sylphxai/pdf-reader-mcp/cleanup"><img src="https://agentmods.dev/badge/commands/sylphxai/pdf-reader-mcp/cleanup.svg" alt="Measured on agentmods" height="20"></a>
Per session 15 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 377 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00015 $0.00377
Opus 5 $0.00008 $0.00188
Sonnet 5 $0.00003 $0.00075
Haiku 4.5 $0.00002 $0.00038

Measured today against content hash d27bcb2d4e0b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

cleanup 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 today.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • cleanup — 100% identical, 0 lines differ
.opencode/command/cleanup.md · 61 lines

What it actually says

Cleanup & Refactor

Scan codebase for technical debt and code smells. Clean, refactor, optimize.

Scope

Code Smells:

  • Functions >20 lines → extract
  • Duplication (3+ occurrences) → DRY
  • Complexity (>3 nesting levels) → flatten
  • Unused code/imports/variables → remove
  • Commented code → delete
  • Magic numbers → named constants
  • Poor naming → clarify

Technical Debt:

  • TODOs/FIXMEs → implement or delete
  • Deprecated APIs → upgrade
  • Outdated patterns → modernize
  • Performance bottlenecks → optimize
  • Memory leaks → fix
  • Lint warnings → resolve

Optimization:

  • Algorithm complexity → reduce
  • N+1 queries → batch
  • Unnecessary re-renders → memoize
  • Large bundles → code split
  • Unused dependencies → remove

Execution

  1. Scan entire codebase systematically
  2. Prioritize by impact (critical → major → minor)
  3. Clean incrementally with atomic commits
  4. Test after every change
  5. Report what was cleaned and impact

Commit Strategy

One commit per logical cleanup:

  • refactor(auth): extract validateToken function
  • perf(db): batch user queries to fix N+1
  • chore: remove unused imports and commented code

Exit Criteria

  • No code smells remain
  • All tests pass
  • Lint clean
  • Performance improved (measure before/after)
  • Technical debt reduced measurably

Report: Lines removed, complexity reduced, performance gains.

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. today First seen · 61 lines · 15 tokens per session scan A d27bcb2d4e0b

Subscribe to this mod's changes

cleanup is a command published in the GitHub repository SylphxAI/pdf-reader-mcp (917 stars, last pushed yesterday), licensed MIT. It adds 15 tokens to every session and 377 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 2026-09-06.

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