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/skills/wordcount/SKILL.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/skills/koljaschoepe/scientific-writing/wordcount)<a href="https://agentmods.dev/skills/koljaschoepe/scientific-writing/wordcount"><img src="https://agentmods.dev/badge/skills/koljaschoepe/scientific-writing/wordcount/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/skills/koljaschoepe/scientific-writing/wordcount"><img src="https://agentmods.dev/badge/skills/koljaschoepe/scientific-writing/wordcount.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 | $0.00034 | $0.00692 |
| Opus 5 | $0.00017 | $0.00346 |
| Sonnet 5 | $0.00007 | $0.00138 |
| Haiku 4.5 | $0.00003 | $0.00069 |
Grade A, and why
wordcount 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 11d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Wortanzahl und Seitenschätzung
Zählt Wörter in allen geschriebenen Kapiteln und vergleicht mit dem Plan.
Ablauf
1. Daten sammeln
Lies:
config.yaml-- Seitenumfang (min/max)output/phase-02-outline/final/thesis-structure.yaml-- Geplante Seitenverteilung- Alle Kapitel in
output/phase-05-writing/final/UNDoutput/phase-05-writing/draft/
2. Wörter zählen
Für jede Kapiteldatei:
- Zähle Wörter (ohne YAML-Frontmatter, ohne Markdown-Syntax)
- Zähle Absätze
- Status: draft oder final
3. Seitenschätzung
Umrechnungsformel: ca. 250-300 Wörter pro Seite (bei 12pt, 1.5 Zeilenabstand). Verwende den Mittelwert (275) als Standard.
Erwartungen an den Arbeitstyp (aus config.yaml):
- seminararbeit: 10-20 Seiten (2.750-5.500 Wörter)
- hausarbeit: 15-25 Seiten (4.125-6.875 Wörter)
- bachelor: 40-60 Seiten (11.000-16.500 Wörter)
- master: 50-100 Seiten (13.750-27.500 Wörter)
- dissertation: 150+ Seiten (41.250+ Wörter)
Nutze die konkreten Werte aus config.formatierung.seitenumfang.min/max falls vorhanden.
4. Ausgabe formatieren
=== Wortanzahl und Seitenschätzung ===
| Kapitel | Titel | Wörter | Seiten (ca.) | Geplant | Status |
|---------|-------|---------|-------------|---------|--------|
| 1.1 | [Titel] | 450 | ~1.6 | 1-2 | final |
| 1.2 | [Titel] | 380 | ~1.4 | 1-2 | final |
| 2.1 | [Titel] | 850 | ~3.1 | 3-4 | draft |
| 2.2 | [Titel] | -- | -- | 3-4 | offen |
| ... | ... | ... | ... | ... | ... |
Gesamt: [X] Wörter, ~[Y] Seiten
Zielbereich: [Min]-[Max] Seiten
[Falls unter Minimum:]
HINWEIS: Du liegst [Z] Seiten unter dem Minimum. Kapitel [X.X] und [Y.Y]
haben Potential für mehr Tiefe.
[Falls über Maximum:]
HINWEIS: Du liegst [Z] Seiten über dem Maximum. Kapitel [X.X] könnte
gekürzt werden.
[Falls im Bereich:]
Deine Arbeit liegt im Zielbereich. Weiter so!
5. Abweichungswarnung
Für Kapitel mit > 15% Abweichung vom Plan:
Abweichungen vom Plan (> 15%):
- Kapitel [X.X]: [Y] Wörter geschrieben, [Z] geplant ([+/-] XX%)
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.
- 11d ago First seen · 75 lines · 34 tokens per session scan A 63f9379ba61c
wordcount is a skill published in the GitHub repository koljaschoepe/scientific-writing (11 stars, last pushed 24d ago), licensed MIT. It adds 34 tokens to every session and 692 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 2026-08-30.
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