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/rand/cc-polymath/discover-mlnpx skills add rand/cc-polymath --skill discover-mlgit clone --depth 1 https://github.com/rand/cc-polymathWhat 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 | $0.00054 | $0.00613 |
| Opus 5 | $0.00027 | $0.00307 |
| Sonnet 5 | $0.00011 | $0.00123 |
| Haiku 4.5 | $0.00005 | $0.00061 |
Grade A, and why
discover-ml 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.
What it actually says
Ml Skills Discovery
Provides automatic access to comprehensive ml skills.
When This Skill Activates
This skill auto-activates when you're working with:
- machine learning
- ML
- AI
- models
- training
- inference
- PyTorch
- TensorFlow
- Modal
- serverless functions
- cloud deployment
- GPU workloads
- web endpoints
- Modal platform
Available Skills
Quick Reference
The ML category contains 42 skills across 2 subcategories:
ML (34 skills):
- custom-llm-evaluation
- diffusion-finetuning
- diffusion-model-basics
- dspy-assertions
- dspy-evaluation
- dspy-modules
- dspy-optimizers
- dspy-rag
- dspy-setup
- dspy-signatures
- graph-rag
- hierarchical-rag
- hybrid-search-rag
- llm-as-judge
- llm-benchmarks-evaluation
- llm-dataset-preparation
- llm-evaluation-frameworks
- llm-model-routing
- llm-model-selection
- lora-peft-techniques
- multi-model-orchestration
- rag-evaluation-metrics
- rag-reranking-techniques
- stable-diffusion-deployment
- unsloth-finetuning
Plus 9 more in ../ml/INDEX.md
Modal (8 skills): See ../modal/INDEX.md
Load Full Category Details
Read ../ml/INDEX.md Read ../modal/INDEX.md
Progressive Loading
This gateway skill enables progressive loading:
- Level 1: Gateway loads automatically (you're here now)
- Level 2: Load category INDEX.md for full overview
- Level 3: Load specific skills as needed
Usage Instructions
- Auto-activation: This skill loads automatically when Claude Code detects ml work
- Browse skills: Run
Read ../ml/INDEX.mdfor full category overview - Load specific skills: Use bash commands above to load individual skills
Next Steps: Run Read ../ml/INDEX.md to see full category details.
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 · 88 lines · 54 tokens per session scan A 0831ace3309e
discover-ml is a skill published in the GitHub repository rand/cc-polymath (136 stars, last pushed 6mo ago), licensed MIT. It adds 54 tokens to every session and 613 once invoked, about $0.0003 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.
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