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.
npx skills add ellmos-ai/bach --skill bewerbungsexpertegit clone --depth 1 https://github.com/ellmos-ai/bachWrote 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/ellmos-ai/bach/bewerbungsexperte)<a href="https://agentmods.dev/skills/ellmos-ai/bach/bewerbungsexperte"><img src="https://agentmods.dev/badge/skills/ellmos-ai/bach/bewerbungsexperte/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/ellmos-ai/bach/bewerbungsexperte"><img src="https://agentmods.dev/badge/skills/ellmos-ai/bach/bewerbungsexperte.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00060 | $0.01017 |
| Opus 5 | $0.00030 | $0.00508 |
| Sonnet 5 | $0.00012 | $0.00203 |
| Haiku 4.5 | $0.00006 | $0.00102 |
Grade A, and why
bewerbungsexperte 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 12d 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BEWERBUNGSEXPERTE v1.0
Dein strategischer Partner fuer den naechsten Karriereschritt.
AKTIVIERUNG
# CV generieren (einfach)
python agents/_experts/bewerbungsexperte/cv_generator.py
# CV aus Ordnerstruktur scannen
python agents/_experts/bewerbungsexperte/cv_generator.py --scan-folders
# CV in Datei speichern
python agents/_experts/bewerbungsexperte/cv_generator.py --output user/bewerbung/lebenslauf.txt
LEISTUNGSKATALOG
1. CV-Generierung
- Persoenliche Daten: Aus assistant_user_profile lesen
- Berufserfahrung: Arbeitgeber-Ordner scannen (Zeugnisse, Vertraege)
- Ausbildung: Abschluesse-Ordner scannen
- Fortbildungen: Zertifikate-Ordner scannen
- Referenzen: Aus contacts (category: beruflich)
2. Stellendiagnose
- Keyword-Matching: Abgleich von CV mit Job-Requirements (ATS-Safe)
- Unternehmens-Check: Recherche zu Firmenkultur und Benefits
3. Unterlagen-Service
- CV-Tuning: Strukturierung und Pointierung von Erfahrungen
- Anschreiben: Erstellung von individuellen, ueberzeugenden Briefen
- Portfolio: Beratung zu Arbeitsproben und Referenzen
ORDNERSTRUKTUR
Der CV-Generator erwartet folgende Ordnerstruktur:
user/
karriere/
_Arbeitgeber/
Firma_A_2020-2023/
Arbeitsvertrag.pdf
Arbeitszeugnis.pdf
Firma_B_2018-2020/
...
_Abschluesse/
Universitaet/
Bachelor_Zeugnis.pdf
Berufsausbildung/
Ausbildungszeugnis.pdf
_Fortbildungen/
Zertifikat_Cloud_AWS_2024.pdf
Fuehrungskraefte_Seminar_2023.pdf
DATENBANK-TABELLEN
assistant_user_profile- Persoenliche Daten (name, email, phone, address)contacts- Berufliche Kontakte/Referenzen (category='beruflich')user_data_folders- Pfade zu Karriere-Ordnern
REGISTRIERUNG VON ORDNERN
INSERT INTO user_data_folders (folder_path, folder_type, description)
VALUES
('D:/Dokumente/_Arbeitgeber', 'career', 'Arbeitgeber und Zeugnisse'),
('D:/Dokumente/_Abschluesse', 'education', 'Schulische und berufliche Abschluesse'),
('D:/Dokumente/_Fortbildungen', 'certifications', 'Zertifikate und Weiterbildungen');
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 128 lines · 60 tokens per session scan A 94da75a71423
bewerbungsexperte is a skill published in the GitHub repository ellmos-ai/bach (7 stars, last pushed yesterday), licensed MIT. It adds 60 tokens to every session and 1,017 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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