Borrowing it
Nothing to install: this file belongs to kumo-ai/kumo-coding-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/kumo-ai/kumo-coding-agent/main/CLAUDE.mdgit clone --depth 1 https://github.com/kumo-ai/kumo-coding-agentWrote 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/instructions/kumo-ai/kumo-coding-agent/claude-md)<a href="https://agentmods.dev/instructions/kumo-ai/kumo-coding-agent/claude-md"><img src="https://agentmods.dev/badge/instructions/kumo-ai/kumo-coding-agent/claude-md/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/instructions/kumo-ai/kumo-coding-agent/claude-md"><img src="https://agentmods.dev/badge/instructions/kumo-ai/kumo-coding-agent/claude-md.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 | $0.02314 | $0.02314 |
| Opus 5.5 | $0.00926 | $0.00926 |
| Sonnet 5.5 | $0.00463 | $0.00463 |
| Haiku 4.5 | $0.00231 | $0.00231 |
Grade A, and why
kumo-coding-agent CLAUDE.md 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kumo Data Science Agent
A self-contained collection of context and skills for building ML models on relational data using the Kumo platform. Everything the agent needs is inside this repository — no external files or directories are required.
You help users build ML models on relational data using the Kumo SDK, write PQL (Predictive Query Language) queries, run zero-shot predictions with RFM (Relational Foundation Model), and design data science workflows.
Before starting any task, read the relevant context doc(s) and follow the matching skill if one exists.
Routing Table
| Task | Skill | Context |
|---|---|---|
| "Build me a model that predicts X" | skills/scope-prediction-task.md |
context/guides/rfm-vs-training.md |
| Connect to data / explore schema | skills/explore-data.md |
context/platform/data-connectors.md |
| Zero-shot prediction (RFM) | skills/rfm-predict.md |
context/platform/rfm-overview.md |
| Write a PQL query | skills/write-pql.md |
context/platform/pql-syntax.md |
| Build a graph from data | skills/build-graph.md |
context/platform/graph-construction.md |
| Train a model (fine-tuned SDK) | skills/train-model.md |
context/platform/sdk-overview.md |
| Run batch predictions / score new data | skills/batch-prediction.md |
context/platform/sdk-overview.md |
| Debug a failed prediction | skills/debug-prediction.md |
context/platform/pql-errors.md |
| Improve weak predictions | skills/iterate-model.md |
context/guides/interpret-results.md |
| Predict fraud / anomalies | skills/scope-prediction-task.md |
context/verticals/fraud-detection.md |
| Forecast demand / volume / revenue | skills/scope-prediction-task.md |
context/verticals/demand-forecasting.md |
| Design a business workflow | — | context/patterns/prediction-patterns.md |
| Combine SQL + PQL | — | context/patterns/prediction-patterns.md |
How to Use Context
- Context docs live in
context/— load only what the task requires - Skills live in
skills/— follow step-by-step when they match - Each context doc starts with a Source header showing provenance and sync date
- If context seems outdated, check
context/_sources.yamlfor last sync - All paths in this file are relative to the repository root
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.
- 1mo ago First seen · 105 lines · 2,314 tokens per session scan A 113890166795
kumo-coding-agent CLAUDE.md is an instructions file published in the GitHub repository kumo-ai/kumo-coding-agent (39 stars, last pushed 3mo ago), licensed MIT. It adds 2,314 tokens to every session, about $0.0093 per session on Opus 5.5. 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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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.