Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/legendtkl/agentic-skill-routernpx agentmods add skills/legendtkl/agentic-skill-router/skill-075Wrote 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/legendtkl/agentic-skill-router/skill-075)<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-075"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-075/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/legendtkl/agentic-skill-router/skill-075"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-075.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 | $0.00108 | $0.02172 |
| Opus 5 | $0.00054 | $0.01086 |
| Sonnet 5 | $0.00022 | $0.00434 |
| Haiku 4.5 | $0.00011 | $0.00217 |
Grade A, and why
skill-075 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 7d 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 — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gastrohem Media Processor
Overview
Automatski procesira WhatsApp media fajlove (audio i slike) u Gastrohem dnevnim folderima.
Što radi:
- Transkribuje audio fajlove paralelno (3x brže) → kreira
.jsonfajlove - Identifikuje slike koje trebaju OCR → kreira
.mdfajlove sa prirodnim sažetkom - Default: Koristi današnji datum automatski
- Skenira SVE odjele odjednom za dati datum
Performance:
- Audio: Do 3 fajla istovremeno (paralelno)
- Slike: Batch OCR (sve odjednom sa Claude vision)
- Scan: Nalazi sve foldere za datum u <1 sekundi
Note: Skill kreira .json za audio i .md za slike - dodavanje u chat.md je odvojen korak.
When to Use This Skill
User says:
- "Process media"
- "Process today's media"
- "Transcribe audio files"
- "Process media for 24.10"
- "OCR images in today's folders"
Default behavior: Uses today's date, scans all departments automatically.
Workflow
Simple Usage
Process all media for today (DEFAULT):
python .claude/skills/gastrohem-media-processor/scripts/process_media.py
- Uses today's date automatically (26.10 danas)
- Scans ALL departments for folders matching today's date
- Transcribes audio in parallel
- Lists images needing OCR
Process specific date:
python .claude/skills/gastrohem-media-processor/scripts/process_media.py --scan-date 24.10
Process specific folder:
python .claude/skills/gastrohem-media-processor/scripts/process_media.py --folder "gastrohem whatsapp/administracija/20.10 - 27.10/24.10"
What Happens
Audio Processing:
- Finds all audio files (
.mp3,.ogg,.m4a,.wav,.opus) - Skips files that already have
.jsontranscriptions - Transcribes in parallel (3 concurrent processes)
- Creates JSON:
{audio_filename}.json{ "speakers": [], "chunks": [...], "text": "Full transcribed text here" }
Image Processing:
- Finds all images (
.png,.jpg,.jpeg,.webp,.bmp) - Checks which images DON'T have
.mdfiles - Returns list of images needing OCR
- Claude reads images in parallel and creates natural summaries with Gastrohem-relevant info
- Creates markdown:
{image_filename}.md# image.png **Poslao:** Mahir Kadic **Datum:** 26.10.2025 13:58 --- [Natural language summary focusing on Gastrohem-relevant information: contacts, names, emails, phone numbers, business details, etc.]
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.
- 7d ago First seen · 251 lines · 108 tokens per session scan A 1304288666d0
skill-075 is a skill published in the GitHub repository legendtkl/agentic-skill-router (5 stars, last pushed 3mo ago), licensed MIT. It adds 108 tokens to every session and 2,172 once invoked, about $0.0005 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 2026-09-03.
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