scientific-prose

scientific-prose is a skill for Claude Code from gioviat/research-toolkit. It costs 53 tokens per session (1,207 once invoked), scanned A, original, MIT.

A writing guide for drafting or editing scientific prose in papers, reports, READMEs, and method or results explanations. It sets rules for clear, direct wording and flags common artificial-sounding patterns.

In plain words
What is it for?
Writing up methods or results, explaining technical work in a report, drafting README sections, and polishing scientific or technical paragraphs.
Why use it?
It helps make technical writing easier to read and avoids filler, inflated language, unsupported claims, and repetitive sentence patterns.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the research-toolkit plugin — 7 skills, 5 agents, 1 hook shipped together

Good fit Writing up methods or results, explaining technical work in a report, drafting README sections, and polishing scientific or technical paragraphs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gioviat/research-toolkit/scientific-prose
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 gioviat/research-toolkit --skill scientific-prose
Clone the repo
git clone --depth 1 https://github.com/gioviat/research-toolkit

Made for: Claude Code.

Or install research-toolkit, the plugin that ships this one along with the rest of its 7 skills, 5 agents, 1 hook.

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 scientific-prose

README.md
[![agentmods](https://agentmods.dev/badge/skills/gioviat/research-toolkit/scientific-prose/github.svg)](https://agentmods.dev/skills/gioviat/research-toolkit/scientific-prose)
Your own site
<a href="https://agentmods.dev/skills/gioviat/research-toolkit/scientific-prose"><img src="https://agentmods.dev/badge/skills/gioviat/research-toolkit/scientific-prose/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.

agentmods 80×15 button for scientific-prose

Your own site · 80×15
<a href="https://agentmods.dev/skills/gioviat/research-toolkit/scientific-prose"><img src="https://agentmods.dev/badge/skills/gioviat/research-toolkit/scientific-prose.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,207 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 $0.00053 $0.01207
Opus 5 $0.00026 $0.00603
Sonnet 5 $0.00011 $0.00241
Haiku 4.5 $0.00005 $0.00121

Measured 8d ago against content hash ce1d08457e64, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

scientific-prose 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 8d 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/scientific-prose/SKILL.md · 49 lines

How it starts

The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Scientific prose

Banned patterns

  • Em dashes (—) and en dashes (–): em dashes are clear signs of AI writing, so remove them and replace them with more natural alternatives, like periods or commas. If not possible, restructure the sentence. This is a hard constraint.
  • Throat-clearing openers: "It is important to note that...", "It's worth mentioning..."
  • Unearned transitions: "Moreover", "Furthermore", "Additionally" used as connective filler rather than because the next sentence needs that specific logical relation
  • Preview sentences: "In this section, we will discuss...". State the content directly instead.
  • Inflated vocabulary where a plain word means the same thing: "delve", "leverage", "robust", "multifaceted", "testament", "tapestry", "comprehensive" (as a filler adjective), "utilize" (use "use"), "load-bearing", "align with", "crucial", "emphasizing", "highlight" (verb). Additional AI-frequent terms to eliminate: "actually", "interplay", "intricacies", "landscape", "fostering", and "garner".
  • Manufactured rule-of-three lists and uniform sentence length: vary structure the way a written derivation or argument naturally does
  • Hedge words used to avoid a claim rather than to state genuine uncertainty: "may", "could potentially", "generally speaking": either state the result or state precisely what is uncertain and why
  • Generic conclusions: "This shows the importance of X" — end on the specific finding, not a platitude
  • Unnecessary comparisons: "We do X rather than Y", "It is X, not Y", "What it does, what it does not". If there is no need for a direct comparison, avoid it: just state plainly the central idea.
  • Undue emphasis on significance and legacy: avoid framing standard methods or incremental results as a "pivotal moment" or "vital role". Avoid saying a development "marks a shift" or is "setting the stage for".
  • Superficial analyses with "-ing" endings: avoid tacking present participle phrases onto sentences to add fake depth. An example of this is writing "achieving SOTA", "underscoring its efficiency".
  • Promotional and advertisement-like language: avoid "groundbreaking", "renowned", or "boasts a" when describing architectures or experimental results.
  • Vague attributions and weasel words: do not use "Experts argue", "Observers note", or "Industry reports". Ensure you attribute opinions or prior findings with specific sources.
  • Outline-like boilerplate sections: avoid formulaic "Challenges and Future Prospects" structural framing in the discussion.
  • Copula avoidance: do not substitute elaborate constructions like "serves as", "represents a", or "offers a" for simple verbs like "is" or "are".
  • Negative parallelisms and tailing negations: avoid overused "Not only... but..." constructions. Do not use tacked-on fragments like "no guessing" in place of complete clauses.
  • Elegant variation (synonym cycling): do not unnecessarily swap technical terms (e.g., cycling randomly through "model", "network", and "framework") just to avoid repetition.
  • False ranges: avoid "from X to Y" constructions where X and Y are not placed on a meaningful scale.
  • Signposting and announcements: omit meta-commentary like "Let's break this down" or "Here's what you need to know".
  • Diff-anchored writing: describe the methodology or architecture as it currently is. Avoid narrating the process of changing it from a previous version unless explicitly writing a changelog.
  • Aphorism formulas: avoid reducing rigorous technical claims into pseudo-profound formulas like "X is the Y of Z".

Read the full file on GitHub · 49 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. 8d ago First seen · 49 lines · 53 tokens per session scan A ce1d08457e64

Subscribe to this mod's changes

scientific-prose is a skill published in the GitHub repository gioviat/research-toolkit (2 stars, last pushed 1mo ago), licensed MIT. It adds 53 tokens to every session and 1,207 once invoked, about $0.0003 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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