section_enhancer_real

section_enhancer_real is an agent for Claude Code from grahama1970/extractor. It costs 0 tokens per session (1,235 once invoked), scanned A, original, GPL-3.0.

A tool for cleaning up document sections made of messy extracted blocks by using available processing tools.

In plain words
What is it for?
It is for cleaning and improving sections during PDF or document extraction.
Why use it?
It helps turn disordered extraction output into a cleaner section.

Agent for Claude Code

Written for Claude Code: installed under .claude/.

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/grahama1970/extractor/section_enhancer_real
Clone the repo
git clone --depth 1 https://github.com/grahama1970/extractor

Made for: Claude Code.

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 section_enhancer_real

README.md
[![agentmods](https://agentmods.dev/badge/agents/grahama1970/extractor/section_enhancer_real.svg)](https://agentmods.dev/agents/grahama1970/extractor/section_enhancer_real)
Your own site
<a href="https://agentmods.dev/agents/grahama1970/extractor/section_enhancer_real"><img src="https://agentmods.dev/badge/agents/grahama1970/extractor/section_enhancer_real.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,235 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00000 $0.01235
Opus 5 $0.00000 $0.00617
Sonnet 5 $0.00000 $0.00247
Haiku 4.5 $0.00000 $0.00123

Measured today against content hash 2cecc36dc3c2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

section_enhancer_real 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.

.claude/legacy/agents/section_enhancer_real.md · 156 lines

The source is not reproduced here

Licensed GPL-3.0

The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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 · 156 lines · 0 tokens per session scan A 2cecc36dc3c2

Subscribe to this mod's changes

section_enhancer_real is an agent published in the GitHub repository grahama1970/extractor (3 stars, last pushed 27d ago), licensed GPL-3.0. It costs nothing until one of its globs matches a file; then it loads 1,235 tokens. 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 2026-09-04.