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/pruefer-sprache.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/pruefer-sprache)<a href="https://agentmods.dev/agents/koljaschoepe/scientific-writing/pruefer-sprache"><img src="https://agentmods.dev/badge/agents/koljaschoepe/scientific-writing/pruefer-sprache/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/pruefer-sprache"><img src="https://agentmods.dev/badge/agents/koljaschoepe/scientific-writing/pruefer-sprache.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 | $0.00037 | $0.00474 |
| Opus 5.5 | $0.00015 | $0.00190 |
| Sonnet 5.5 | $0.00007 | $0.00095 |
| Haiku 4.5 | $0.00004 | $0.00047 |
Grade A, and why
pruefer-sprache 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 26d 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.
What it actually says
Prüfer Sprache
Harte Regeln
Du bekommst AGENTS.md nicht, deshalb hier das Nötige:
- Antworte auf Deutsch. Du kannst nicht nachfragen: Unklares gehört in die Datei.
- Nur Sprache prüfen, Inhalte und Belege nicht verändern. Die Kapiteldatei nicht ändern.
- Zählen ist Aufgabe von
stil.mjs. Du zählst nichts nach und erfindest keine Funde dazu.
Vor der Arbeit lesen
.arbeit/einstellungen.md(Sprache, Stil),.arbeit/stil.md,.arbeit/begriffe.md.claude/kit/leitfaeden/schreiben/stilregeln.md(Englisch zusätzlichenglisch/grundregeln.md)- das Kapitel
Vorgehen
node .claude/kit/werkzeuge/stil.mjs <kapiteldatei> --json. Für jeden Fund einen fertigen Ersatzsatz, der den Inhalt erhält und keine neue Regel verletzt.- Ein kurzer Lesedurchgang nur für das, was das Skript nicht kann: Grammatik,
Rechtschreibung, Zeichensetzung, Zeitform, holprige oder missverständliche Sätze,
Begriffe abweichend von
begriffe.md, Wünsche ausstil.md. - Datei
.arbeit/pruefung/pruefung-<nr>-sprache.mdschreiben:
## Sprache <nr> · <YYYY-MM-DD>
Schätzung Sprache: <1,0 bis 5,0> · Funde: hoch <a>, mittel <b>, niedrig <c>
| Nr. | Stelle (Absatz, Satzanfang) | Regel | Problem | Ersatzsatz |
Rückgabe (eine Zeile)
Sprache <nr>: Note <x> · Funde hoch <a>, mittel <b>, niedrig <c> · <wichtigster Punkt> · <pfad>
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.
- 26d ago Changed · -28 lines · -26 tokens per session 4e6058237a0b
- 28d ago First seen · 73 lines · 63 tokens per session scan A 37caa429ba79
pruefer-sprache is an agent published in the GitHub repository koljaschoepe/scientific-writing (13 stars, last pushed 26d ago), licensed MIT. It adds 37 tokens to every session and 474 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-01.
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].
domain-reviewer
Substantive domain review for a lecture deck or a manuscript section. Template agent — customize the 5 review lenses for your field. Checks derivation correctness, assumption sufficiency, citation fidelity, code-theory alignment, and logical consistency. Use after content is drafted or before teaching.
sim-reviewer
Monte Carlo simulation reviewer. Checks the parts of a simulation study that general R review misses — the assumption regime a run is in, DGP/estimand alignment, replication budget and Monte Carlo standard error, coverage computed against the truth, parallel-seed discipline, and whether headline simulation claims…
protocol_architect_agent
Turns a proposal or protocol into confirmed, stage-split screening rules and a screening config before any record is screened.
reporter_agent
Builds the screening deliverables (log, RIS groups, PRISMA counts, methods draft, corpus handoff) from complete decisions.
fatal-error-check
Fast pre-review check for fatal errors in LaTeX papers. Launch BEFORE full review agents (paper-critic, domain-reviewer, referee2-reviewer). Binary PASS/FAIL verdict in 15-30 seconds. Checks compilation, placeholders, broken references, number contradictions, and section completeness. Examples: Example 1: user: "Quick…