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 IngvarConsulting/unica --skill mxl-infogit clone --depth 1 https://github.com/IngvarConsulting/unicaWrote 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/ingvarconsulting/unica/mxl-info)<a href="https://agentmods.dev/skills/ingvarconsulting/unica/mxl-info"><img src="https://agentmods.dev/badge/skills/ingvarconsulting/unica/mxl-info/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/ingvarconsulting/unica/mxl-info"><img src="https://agentmods.dev/badge/skills/ingvarconsulting/unica/mxl-info.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 | $0.00045 | $0.01528 |
| Opus 5 | $0.00023 | $0.00764 |
| Sonnet 5 | $0.00009 | $0.00306 |
| Haiku 4.5 | $0.00005 | $0.00153 |
Grade A, and why
mxl-info 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 4d 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 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.
- 4d ago Changed ebcf5c0140cb
- 5d ago Changed 4fd5c853e0b0
- 9d ago First seen · 162 lines · 45 tokens per session scan A 0bc9bd53c01c
mxl-info is a skill published in the GitHub repository IngvarConsulting/unica (191 stars, last pushed today), with no licence file. It adds 45 tokens to every session and 1,528 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.
Other skills, from other repositories
mxl-compile
A generator for 1C MXL spreadsheet-document layouts from a compact JSON description. MXL is the 1C format used for tabular documents such as printable forms.
mxl-info
A 1C tool that reads a tabular document layout (MXL) and reports its named areas, settings, and column groups. MXL is 1C’s structured format for printable spreadsheet-like documents.
template-add
A command for adding an empty layout to a 1C object, such as a report, catalog, or document.
opendart-excel
A workflow for creating Excel files from South Korea’s DART company filings, which are public financial reports submitted to the Financial Supervisory Service.
check-rms-budget
Check arithmetic and exceptions in a user-provided Yonsei RMS JSON or Excel-transcribed budget snapshot, including allocated, executed, committed, remaining, and optional supplied totals. Use when a researcher wants an offline budget consistency review without querying or changing RMS.
summarize-rms-project
Normalize a user-provided Yonsei RMS JSON or Excel-transcribed project snapshot into a privacy-minimized summary of project identity, period, budget, participant counts, and supplied workflow state. Use when a researcher needs an offline project overview without querying or changing RMS.