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/curiositech/some_claude_skillsWrote 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/plugins/curiositech/some_claude_skills/cost-optimizer)<a href="https://agentmods.dev/plugins/curiositech/some_claude_skills/cost-optimizer"><img src="https://agentmods.dev/badge/plugins/curiositech/some_claude_skills/cost-optimizer.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
cost-optimizer 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 today.
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.
What it actually says
{
"name": "cost-optimizer",
"description": "Tracks cumulative LLM costs across DAG execution and makes real-time decisions to stay within budget. Downgrades models, skips optional nodes, or stops early when cost exceeds thresholds. Use when managing execution budgets, analyzing cost breakdowns, or optimizing model routing for cost. Activate on \"cost budget\", \"too expensive\", \"reduce cost\", \"cost optimization\", \"model downgrade\", \"budget exceeded\". NOT for LLM model selection logic (use llm-router), pricing comparisons across providers, or billing/invoicing."
}
What it installs
The manifest is a name and a version. 1 skill travel with it, and installing the plugin installs all of them — 107 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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.
- today First seen · 5 lines scan A 5ebc7c20d707
cost-optimizer is a plugin published in the GitHub repository curiositech/some_claude_skills (211 stars, last pushed today), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-09-06.
Other plugins, from other repositories
data-integration
Data foundations that every financial system depends on. Covers reference data management, market data feeds, integration patterns for financial systems, and data quality governance.
sap-rpt1
SAP-RPT-1-OSS local tabular prediction workflows for FI/CO prototype datasets. Use when preparing SAP finance CSV exports for classification or regression experiments with source-verified setup, leakage checks, and governance review.
nixtla-roi-calculator
Calculate 3-year ROI of moving forecasting to Nixtla TimeGPT, generate a real PDF report, compare scenarios with sensitivity analysis, and post the result to Salesforce as an Opportunity (live or dry-run).
quantcoder
Use QuantCoder from Claude Code to turn quantitative research papers into QuantConnect LEAN algorithm drafts, lint them, and optionally validate/backtest through QuantConnect.
bizplan-plugins
AI-powered business plan and financial model generators for pre-launch founders. Generate professional Excel financial models and narrative business plans with industry benchmarks.
classifier
Text classification CLI using Bayesian, LSI, KNN, Logistic Regression, and TF-IDF algorithms.