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.
git clone --depth 1 https://github.com/TheLobbi/Claude-mWrote 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/commands/thelobbi/claude-m/docai-custom-model)<a href="https://agentmods.dev/commands/thelobbi/claude-m/docai-custom-model"><img src="https://agentmods.dev/badge/commands/thelobbi/claude-m/docai-custom-model.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 | $0.00030 | $0.02110 |
| Opus 5 | $0.00015 | $0.01055 |
| Sonnet 5 | $0.00006 | $0.00422 |
| Haiku 4.5 | $0.00003 | $0.00211 |
Grade A, and why
docai-custom-model scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -o /dev/null -w "%{http_code}" "${CONTAINER_URL}&restype=container&comp=list&maxresults=5" The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 5d ago First seen · 231 lines · 30 tokens per session scan A c6d12330397f
docai-custom-model is a command published in the GitHub repository TheLobbi/Claude-m (14 stars, last pushed 11d ago), with no licence file. It adds 30 tokens to every session and 2,110 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other commands, from other repositories
portaljs-define-schema
Define a dataset's metadata profile — infer a Frictionless Table Schema from its data, add Data Package metadata (license, sources, keywords), and write it into datasets.json so the showcase renders a typed field table. Extend or customize via the L0→L3 profile ladder.
vlm-ocr
Run the vlm-ocr skill on the task below. It has three phases: evaluate (compare candidate OCR systems against stratified human ground truth and pick one on measured CER/WER), run (build and execute the production VLM-OCR pipeline — model selection, image handling, prompts, architecture, batching, accuracy evaluation…
dejavu-docs
Search project documentation embeddings via dejavu (docs-only).
CLAUDE_CODE_RECODIFY_125K_5PASS
A command for running a 125,000-record recoding task through five passes, while recording the work in a spreadsheet.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.