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 berrzebb/SoulFlow-Orchestrator --skill file-makergit clone --depth 1 https://github.com/berrzebb/SoulFlow-OrchestratorWrote 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/berrzebb/soulflow-orchestrator/file-maker)<a href="https://agentmods.dev/skills/berrzebb/soulflow-orchestrator/file-maker"><img src="https://agentmods.dev/badge/skills/berrzebb/soulflow-orchestrator/file-maker/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/berrzebb/soulflow-orchestrator/file-maker"><img src="https://agentmods.dev/badge/skills/berrzebb/soulflow-orchestrator/file-maker.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 | $0.00120 | $0.00739 |
| Opus 5.5 | $0.00048 | $0.00296 |
| Sonnet 5.5 | $0.00024 | $0.00148 |
| Haiku 4.5 | $0.00012 | $0.00074 |
Grade A, and why
file-maker 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 1mo 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
10 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.
- references/archive.md 1.9 KB
- references/docx-api.md 2.5 KB
- references/docx.md 1.9 KB
- references/pdf-reportlab.md 2.4 KB
- references/pdf.md 1.8 KB
- references/pptx-api.md 2.4 KB
- references/pptx.md 1.9 KB
- references/xlsx.md 2.7 KB
- scripts/docx_builder.py 11 KB runs code
- scripts/pptx_builder.py 12 KB runs code
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.
- 1mo ago First seen · 68 lines · 120 tokens per session scan A 30a5d206599f
file-maker is a skill published in the GitHub repository berrzebb/SoulFlow-Orchestrator (22 stars, last pushed 7mo ago), with no licence file. It adds 120 tokens to every session and 739 once invoked, about $0.0005 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 2026-08-30.
Other skills, from other repositories
doc-reader
Read any common document/data file — PDF, Word (.docx), Excel (.xlsx/.xls), PowerPoint (.pptx), images (OCR), CSV/TSV, plain text, JSON/YAML/TOML, HTML/XML, and most source-code files. Use the readdocument tool.
markdown-converter
Convert binary documents (PDF, DOCX, XLSX, PPTX, HTML, EPUB, images) to clean LLM-friendly Markdown using Microsoft's markitdown Python tool. Use when a user attaches a binary file and you need to read its contents.
research-brief
Turn sourced web findings into a concise PDF brief and an auditable XLSX evidence table.
document-material-ingestion
Use this skill when the team must turn Boss-provided mixed-format documents into PPT-ready facts, arguments, data tables, and source traces.
foundry-hosted-agent-validation
Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.
xberg-extracting-tables
Use when extracting tabular data from PDFs, spreadsheets, or images. Covers layout-aware table detection, table model selection, output formats (markdown / JSON cells), and known limits.