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 agentmods add skills/tvremix/claude-plugin/setupnpx skills add tvremix/claude-plugin --skill setupgit clone --depth 1 https://github.com/tvremix/claude-pluginWhat 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 | $0.00014 | $0.00845 |
| Opus 5 | $0.00007 | $0.00423 |
| Sonnet 5 | $0.00003 | $0.00169 |
| Haiku 4.5 | $0.00001 | $0.00085 |
Grade A, and why
setup 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 2d 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
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.
- 2d ago First seen · 61 lines · 14 tokens per session scan A 61e41594ef00
setup is a skill published in the GitHub repository tvremix/claude-plugin (13 stars, last pushed 4mo ago), with no licence file. It adds 14 tokens to every session and 845 once invoked, about $0.0001 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
bottom-up-market-size
Size a market bottom-up from an Economic Mind market report and stress-test that number against independent sizing approaches - the headline size, the transparent per-company build (each player's revenue, share-in-market, in-market revenue, confidence and justification carried verbatim from the report), an explicit…
competitor-benchmarking
Benchmark a set of companies against each other on hard financials - a detailed per-year data table for each company (revenue, gross profit, EBITDA, EBIT, net income), plus a cross-company summary of size, growth and profitability, with every derived figure footnoted to its formula and inputs and every line attributed…
company-at-a-glance
Produce a rigorous, fully-sourced data snapshot of a single company - a detailed multi-year financial table (revenue, gross profit, EBITDA, EBIT, net income per year), computed margins and growth with every derived figure footnoted to its formula and inputs, plus web-sourced profile facts (founded, CEO, ownership…
getting-started
Orient a user to the Economic Mind plugin and connector - what it is, what data it draws on, which skills and connector tools are available, how to trigger them, and what to expect as the product grows. Use whenever the user is new to Economic Mind or asks what it is / what it can do / how to use it / how to get…
ideogram-ultra
Build Ideogram 4 (Ideogram Ultra) txt2img and img2img workflows with the local open-weights model, dual conditional/unconditional models with DualModelGuider, Qwen3-VL text encoder, and structured JSON ("compositional deconstruction") prompts for strong text rendering and layout control.
model-compatibility
Model family compatibility matrix covering loaders, resolutions, samplers, CFG, VAE, ControlNet, and LoRA compatibility for SD 1.5, SDXL, Flux, SD3, and video models.