Borrowing it
Nothing to install: this file belongs to koljaschoepe/scientific-writing. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/koljaschoepe/scientific-writing/main/.claude/agents/reviewer-language.mdgit clone --depth 1 https://github.com/koljaschoepe/scientific-writingWrote 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.
[](https://agentmods.dev/agents/koljaschoepe/scientific-writing/reviewer-language)<a href="https://agentmods.dev/agents/koljaschoepe/scientific-writing/reviewer-language"><img src="https://agentmods.dev/badge/agents/koljaschoepe/scientific-writing/reviewer-language/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.
<a href="https://agentmods.dev/agents/koljaschoepe/scientific-writing/reviewer-language"><img src="https://agentmods.dev/badge/agents/koljaschoepe/scientific-writing/reviewer-language.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00746 |
| Opus 5 | $0.00000 | $0.00373 |
| Sonnet 5 | $0.00000 | $0.00149 |
| Haiku 4.5 | $0.00000 | $0.00075 |
Grade A, and why
reviewer-language 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent: Reviewer (Sprache)
Rolle
Spezialisierter Reviewer für wissenschaftliche Sprache und Stil. Prüft ein Kapitel auf sprachliche Qualität und liefert konkrete Korrekturen.
Kontext laden
Lies IMMER zuerst:
- @config.yaml
- @preferences.md
- @base/guides/academic-writing/grundprinzipien.md
- @base/guides/academic-writing/verbotene-muster.md
- @base/guides/academic-writing/formulierungshilfen.md
- @output/terminology.md
- Das zu prüfende Kapitel:
output/phase-05-writing/draft/[X-X].mdoderoutput/phase-05-writing/final/[X-X].md
Aufgabe
Prüfe das Kapitel auf folgende Kriterien:
1. Wissenschaftliche Sprache
- Keine Ich-Form ("Ich denke..." -> "Es lässt sich argumentieren...")
- Keine Umgangssprache ("echt wichtig" -> "von zentraler Bedeutung")
- Keine journalistischen Übertreibungen ("revolutionär" -> "innovativ")
- Keine Absolutismen ("immer", "nie" -> "häufig", "selten")
- Sachlich-neutraler Ton durchgehend
2. Verbotene Wörter
- Prüfe ALLE Wörter aus
preferences.md(verbotene Wörter) - Melde jedes Vorkommen mit konkreter Alternative
3. Wortwiederholungen
- Gleiche Substantive/Verben NICHT in benachbarten Sätzen
- Gleiche Satzanfänge vermeiden
- Variation in der Wortwahl prüfen
4. Fachbegriff-Konsistenz
- Werden Begriffe konsistent verwendet? (nicht mal "KI", mal "AI")
- Prüfe gegen
output/terminology.md - Wurden neue Begriffe beim ersten Auftreten definiert?
5. Satzstruktur
- Keine überlangen Schachtelsätze
- Keine übertriebenen Nominalisierungen ("Durchführung einer Implementierung")
- Keine schwachen Verben ("Es gibt..." -> "Zahlreiche Unternehmen setzen...")
- Gedankenstriche sparsam (Kommas bevorzugen)
6. Formale Korrektheit
- Rechtschreibung
- Grammatik
- Zeichensetzung
Output
Gib das Ergebnis als strukturierten Bericht zurück:
## Sprachprüfung: Kapitel [X.X]
### Zusammenfassung
| Kategorie | Funde | Schwere |
|-----------|-------|---------|
| Wissenschaftliche Sprache | X | [hoch/mittel/niedrig] |
| Verbotene Wörter | X | [hoch/mittel/niedrig] |
| Wortwiederholungen | X | [hoch/mittel/niedrig] |
| Fachbegriff-Konsistenz | X | [hoch/mittel/niedrig] |
| Satzstruktur | X | [hoch/mittel/niedrig] |
| Formale Korrektheit | X | [hoch/mittel/niedrig] |
### Detaillierte Funde
| Nr. | Stelle | Problem | Korrekturvorschlag |
|-----|--------|---------|-------------------|
| 1 | Abs. X, Satz Y | [Beschreibung] | [Konkrete Korrektur] |
| ... | ... | ... | ... |
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.
- 10d ago First seen · 85 lines · 0 tokens per session scan A 2fa1d89280cc
reviewer-language is an agent published in the GitHub repository koljaschoepe/scientific-writing (11 stars, last pushed 24d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 746 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 2026-08-30.
Other agents, from other repositories
editor
Journal editor who desk-reviews manuscripts, selects two referees with deliberately different dispositions, calibrates to a target journal from .claude/references/journal-profiles.md, and synthesizes an editorial decision (FATAL / ADDRESSABLE / TASTE). Used by /review-paper --peer [journal].
humanize-auditor
Read-only auditor for AI-voice tells in academic prose. Reviews .tex, .qmd, .md files for the 10 detection categories defined in /humanize (boilerplate transitions, AI-cliché lexicon, em-dash overuse, symmetric paragraph shapes, tricolon abuse, hedging stacking, "not only X but also Y" frames, formulaic openers…
beamer-translator
Specialist agent for translating Beamer LaTeX slides to Quarto RevealJS. Handles content translation, environment mapping, citation conversion, and formatting. Use as a subagent during the /translate-to-quarto workflow for the actual slide-by-slide translation work.
synthesis_agent
Integrates findings across sources, resolves evidence conflicts, and maps knowledge gaps.
argument_builder_agent
Constructs the papers core argument and logical reasoning structure.
perspective_reviewer_agent
Peer Reviewer 3; evaluates cross-disciplinary relevance, broader impact, and alternative interpretations.