Kumo is Cloudflare's component library for building web application interfaces with accessible, design-system-compliant UI elements. Developers use it to add components with built-in keyboard navigation, focus management, and ARIA attributes, while advanced users can access re-exported Base UI primitives. Catalogue add-ons support the library's development workflow.
Borrowing it
Nothing to install: this file belongs to cloudflare/kumo. 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/cloudflare/kumo/main/.agents/skills/index-knowledge/SKILL.mdgit clone --depth 1 https://github.com/cloudflare/kumoWrote 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/skills/cloudflare/kumo/index-knowledge)<a href="https://agentmods.dev/skills/cloudflare/kumo/index-knowledge"><img src="https://agentmods.dev/badge/skills/cloudflare/kumo/index-knowledge/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/skills/cloudflare/kumo/index-knowledge"><img src="https://agentmods.dev/badge/skills/cloudflare/kumo/index-knowledge.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 | $0.00026 | $0.02825 |
| Opus 5.5 | $0.00010 | $0.01130 |
| Sonnet 5.5 | $0.00005 | $0.00565 |
| Haiku 4.5 | $0.00003 | $0.00282 |
Grade A, and why
index-knowledge 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 2mo 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.
This is a copy
100% identical to index-knowledge — 69 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 376 lines — stays where its author put it; the contents beside it link to each section on GitHub.
index-knowledge
Generate hierarchical AGENTS.md files. Root + complexity-scored subdirectories.
Usage
--create-new # Read existing → remove all → regenerate from scratch
--max-depth=2 # Limit directory depth (default: 5)
Default: Update mode (modify existing + create new where warranted)
Workflow (High-Level)
- Discovery + Analysis (concurrent)
- Launch parallel explore agents (multiple Task calls in one message)
- Main session: bash structure + LSP codemap + read existing AGENTS.md
- Score & Decide - Determine AGENTS.md locations from merged findings
- Generate - Root first, then subdirs in parallel
- Review - Deduplicate, trim, validate
TodoWrite([
{ id: "discovery", content: "Fire explore agents + LSP codemap + read existing", status: "pending", priority: "high" },
{ id: "scoring", content: "Score directories, determine locations", status: "pending", priority: "high" },
{ id: "generate", content: "Generate AGENTS.md files (root + subdirs)", status: "pending", priority: "high" },
{ id: "review", content: "Deduplicate, validate, trim", status: "pending", priority: "medium" }
])
Phase 1: Discovery + Analysis (Concurrent)
Mark "discovery" as in_progress.
Launch Parallel Explore Agents
Multiple Task calls in a single message execute in parallel. Results return directly.
// All Task calls in ONE message = parallel execution
Task(
description="project structure",
subagent_type="explore",
prompt="Project structure: PREDICT standard patterns for detected language → REPORT deviations only"
)
Task(
description="entry points",
subagent_type="explore",
prompt="Entry points: FIND main files → REPORT non-standard organization"
)
Task(
description="conventions",
subagent_type="explore",
prompt="Conventions: FIND config files (.eslintrc, pyproject.toml, .editorconfig) → REPORT project-specific rules"
)
Task(
description="anti-patterns",
subagent_type="explore",
prompt="Anti-patterns: FIND 'DO NOT', 'NEVER', 'ALWAYS', 'DEPRECATED' comments → LIST forbidden patterns"
)
Task(
description="build/ci",
subagent_type="explore",
prompt="Build/CI: FIND .github/workflows, Makefile → REPORT non-standard patterns"
)
Task(
description="test patterns",
subagent_type="explore",
prompt="Test patterns: FIND test configs, test structure → REPORT unique conventions"
)
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.
- 2mo ago First seen · 376 lines · 26 tokens per session scan A 6e8996e3b2b7
index-knowledge is a skill published in the GitHub repository cloudflare/kumo (4,145 stars, last pushed today), licensed MIT. It adds 26 tokens to every session and 2,825 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to index-knowledge, differing in 69 lines, and is treated as a copy.
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