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/write/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/write)<a href="https://agentmods.dev/skills/koljaschoepe/scientific-writing/write"><img src="https://agentmods.dev/badge/skills/koljaschoepe/scientific-writing/write.svg" alt="Measured on agentmods" 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 | $0.00041 | $0.00418 |
| Opus 5 | $0.00020 | $0.00209 |
| Sonnet 5 | $0.00008 | $0.00084 |
| Haiku 4.5 | $0.00004 | $0.00042 |
Grade A, and why
write 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.
What it actually says
Kapitel schreiben
Schreibt den wissenschaftlichen Fließtext für ein Unterkapitel.
Ablauf
1. Kapitelnummer bestimmen
Mit Parameter (z.B. /write 2.3):
- Verwende die angegebene Kapitelnummer
Ohne Parameter (/write):
- Lies
output/phase-02-outline/final/thesis-structure.yaml - Finde das nächste Kapitel das:
- Einen freigegebenen Plan hat (
output/phase-04-plans/final/plan-X-X.md) - Noch NICHT geschrieben ist (keine Datei in
output/phase-05-writing/draft/oderfinal/)
- Einen freigegebenen Plan hat (
- Falls kein Kapitel gefunden: "Alle geplanten Kapitel sind bereits geschrieben. Nutze /review um die Qualitätsprüfung zu starten."
2. Vorbedingungen prüfen
- config.yaml existiert
- Freigegebener Plan existiert für dieses Kapitel
- Alle vorherigen Kapitel sind geschrieben und freigegeben
- Benötigte Zitate sind in
sources/literature.md
Falls eine Bedingung fehlt:
- Erkläre was fehlt
- Schlage Lösung vor (z.B. "/next um den Plan zu erstellen")
3. Agent starten
Starte den Agent .claude/agents/writer.md mit dem Kapitel als Kontext.
4. Ergebnis
Nach dem Schreiben:
- Zeige Zusammenfassung: Kapitel [X.X], [Y] Wörter, [Z] geplante Seiten
- Falls Abweichung > 15%: Melde es
- Empfehle: "Prüfe das Ergebnis in output/phase-05-writing/draft/[X-X].md und nutze /approve um es freizugeben."
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.
- 6d ago First seen · 47 lines · 41 tokens per session scan A 7d002d3c5d2c
write is a skill published in the GitHub repository koljaschoepe/scientific-writing (11 stars, last pushed 20d ago), licensed MIT. It adds 41 tokens to every session and 418 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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