de-llm

de-llm is a skill for Claude Code from noahlz/claude-plugins. It costs 33 tokens per session (708 once invoked), scanned A, original, MIT.

A writing post-processor that removes inflated, repetitive, self-referential, or AI-like patterns from prose while preserving its facts.

In plain words
What is it for?
Use it to edit drafts for puffery, excessive hedging, bloated phrasing, vague authority, meta-commentary, and similar stylistic problems.
Why use it?
It makes text more direct and readable without adding unsupported claims or changing the underlying meaning.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the writing-tools plugin — 2 skills, 1 agent shipped together

Good fit Use it to edit drafts for puffery, excessive hedging, bloated phrasing, vague…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/noahlz/claude-plugins/de-llm
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.

Any agent
npx skills add noahlz/claude-plugins --skill de-llm
Clone the repo
git clone --depth 1 https://github.com/noahlz/claude-plugins

Made for: Claude Code.

Or install writing-tools, the plugin that ships this one along with the rest of its 2 skills, 1 agent.

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 de-llm

README.md
[![agentmods](https://agentmods.dev/badge/skills/noahlz/claude-plugins/de-llm.svg)](https://agentmods.dev/skills/noahlz/claude-plugins/de-llm)
Your own site
<a href="https://agentmods.dev/skills/noahlz/claude-plugins/de-llm"><img src="https://agentmods.dev/badge/skills/noahlz/claude-plugins/de-llm.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 708 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 $0.00033 $0.00708
Opus 5 $0.00016 $0.00354
Sonnet 5 $0.00007 $0.00142
Haiku 4.5 $0.00003 $0.00071

Measured 6d ago against content hash 5c40fb3771d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

de-llm 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.

plugins/writing-tools/skills/de-llm/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Core Rule: Preserve facts. Strip framing, bloat, and editorial noise.

Checklist

  • 1. Read the input
  • 2. Pre-scan
  • 3. Load pattern details (if step 2 found matches)
  • 4. Scan and edit
  • 5. Write output
  • 6. Report changes

Step 1: Read the Input

Read the input: file path, attached file, or pasted text. Extract text from binary formats (docx, pdf) first.

Step 2: Pre-scan

Without loading references/patterns.md, judge whether any of these patterns are likely present:

# Pattern Action
1 Puffery verbs Rewrite plainly
2 Participle bloat Rewrite or delete
3 "Not just X, but Y" Assert Y; drop contrast
4 Evaluative descriptors Delete adjective or restructure clause
5 Self-referential narration Delete
6 Vague authority Delete (unsourced); reattribute (sourced)
7 Over-hedging on verifiable facts Strip hedge
8 Conclusion signposts Delete signpost; keep conclusion if supported
9 False-intimacy markers Delete
10 Mini-conclusion headers + bullets Delete header; fold bullets to prose
11 Bold-as-emphasis Strip bold; rewrite if claim needs weight
12 Compressed abstraction; blacklist shape/tension/boundary/unlock/gate/weave/surface/spine/load-bearing/tapestry/interplay/moat/guardrail (zero tolerance) Expand; blacklist → rewrite or delete
13 Numeric lead-in to bullets, tables, or section headers Replace count or drop to noun phrase
14 Cleft sentences Rewrite as direct assertion
  • None present → report "No patterns detected." and stop.
  • Any present (or uncertain) → continue to step 3.

Step 3: Load Pattern Details

Read references/patterns.md for detection phrases and before/after examples.

Step 4: Scan and Edit

Scan for all 14 patterns. Skip 10 and 11 when input has no inline markdown. Preserve facts; strip framing only.

The pattern 12 blacklist (shape, tension, boundary, unlock, gate, weave, surface, spine, load-bearing, tapestry, interplay, moat, guardrail) is mandatory: always scan for it, and rewrite or delete every metaphorical use — the usual "leave it if unsure" leniency does not apply. Preserve only literal technical uses.

Read the full file on GitHub · 71 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 6d ago First seen · 71 lines · 33 tokens per session scan A 5c40fb3771d9

Subscribe to this mod's changes

de-llm is a skill published in the GitHub repository noahlz/claude-plugins (5 stars, last pushed 4d ago), licensed MIT. It adds 33 tokens to every session and 708 once invoked, about $0.0002 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 2026-08-31.

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