Borrowing it
Nothing to install: this file belongs to CAPHTECH/kiri. 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/CAPHTECH/kiri/main/CLAUDE.mdgit clone --depth 1 https://github.com/CAPHTECH/kiriWrote 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/caphtech/kiri/claude-md)<a href="https://agentmods.dev/instructions/caphtech/kiri/claude-md"><img src="https://agentmods.dev/badge/instructions/caphtech/kiri/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/caphtech/kiri/claude-md"><img src="https://agentmods.dev/badge/instructions/caphtech/kiri/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 | $0.04012 | $0.04012 |
| Opus 5.5 | $0.01605 | $0.01605 |
| Sonnet 5.5 | $0.00802 | $0.00802 |
| Haiku 4.5 | $0.00401 | $0.00401 |
Grade A, and why
kiri 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 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.
How it starts
The opening of the file, as written. The whole thing — 401 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Use KIRI MCP Tools - MANDATORY
This project uses KIRI MCP. You MUST proactively use KIRI MCP tools for all code exploration and search tasks.
When to Use KIRI Tools
ALWAYS use KIRI tools instead of Glob/Grep for:
-
Understanding codebase structure → Use
mcp__kiri__context_bundle- Finding relevant code for implementing features
- Understanding how existing features work
- Locating code related to specific functionality
- Example:
mcp__kiri__context_bundlewith goal "How does the daemon lifecycle work?"
-
Searching for files or code patterns → Use
mcp__kiri__files_search- Finding files by keywords or functionality
- Locating implementation patterns
- Example:
mcp__kiri__files_searchwith query "daemon startup"
-
Reading specific code sections → Use
mcp__kiri__snippets_get- Reading only relevant parts of large files
- Minimizing token usage
- Example:
mcp__kiri__snippets_getfor path "src/daemon/daemon.ts"
-
Understanding dependencies → Use
mcp__kiri__deps_closure- Finding what files depend on a module (inbound)
- Finding what a module depends on (outbound)
- Impact analysis for refactoring
- Example:
mcp__kiri__deps_closurewith path "src/server/runtime.ts"
-
Refining search results → Use
mcp__kiri__semantic_rerank- Prioritizing files by semantic relevance
- Narrowing down search results
Performance Benefits
- Token efficiency: KIRI returns only relevant snippets, not entire files
- Precision: Context-aware search beats simple pattern matching
- Speed: Indexed search is faster than filesystem traversal
- Structure-aware: Understands code symbols and dependencies
Token-Saving Workflow (v0.9.6+)
- Run
files_searchorcontext_bundlewithcompact: trueto gather lightweight candidates. - Use
snippets_getwithcompact: truewhen you only need metadata, orincludeLineNumbers: truewhen copying exact line references (format:1375→export function ...). - Request
includeTokensEstimate: trueoncontext_bundleonly when you explicitly need the projected token count; it is skipped by default.
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 · 401 lines · 4,012 tokens per session scan A c26962095aa3
kiri CLAUDE.md is an instructions file published in the GitHub repository CAPHTECH/kiri (153 stars, last pushed 8mo ago), licensed MIT. It adds 4,012 tokens to every session, about $0.0160 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.
kiri CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| kiri CLAUDE.mdCAPHTECH/kiri | Instructions file | 153 | 8mo ago | MIT | A | 4,012 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 275k | 3d ago | MIT | A | 4,313 | Codex, OpenCode |