Borrowing it
Nothing to install: this file belongs to sergei1503/claudealytics. 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/sergei1503/claudealytics/main/CLAUDE.mdgit clone --depth 1 https://github.com/sergei1503/claudealyticsWrote 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/sergei1503/claudealytics/claude-md)<a href="https://agentmods.dev/instructions/sergei1503/claudealytics/claude-md"><img src="https://agentmods.dev/badge/instructions/sergei1503/claudealytics/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/sergei1503/claudealytics/claude-md"><img src="https://agentmods.dev/badge/instructions/sergei1503/claudealytics/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 | $0.00320 | $0.00320 |
| Opus 5 | $0.00160 | $0.00160 |
| Sonnet 5 | $0.00064 | $0.00064 |
| Haiku 4.5 | $0.00032 | $0.00032 |
Grade A, and why
claudealytics 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 9d 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
Claudealytics - Project Guide
Branch Strategy
dev— Active development branch. All new work happens here.main— Stable/release branch. Receives merges fromdev.- Both
devandmainare pushed to origin. After merging tomain, syncdevand push both. - Local dev server (
claudealytics.localhost:1355) always runs fromdev. - When starting a session, ensure you're on
dev:git checkout dev
Stack
- Framework: Streamlit
- Language: Python 3
- Data: Parses Claude Code JSONL conversation logs from
~/.claude/projects/
Dev Server
portless claudealytics bash -c 'python3 -m streamlit run src/claudealytics/dashboard/app.py --server.headless true --server.port $PORT'
URL: http://claudealytics.localhost:1355
Project Structure
src/claudealytics/dashboard/layouts/— Streamlit tab layouts (one file per tab)src/claudealytics/analytics/parsers/— Data extraction from JSONL filessrc/claudealytics/analytics/aggregators/— Domain-specific aggregation logicsrc/claudealytics/dashboard/app.py— Main Streamlit app entry pointsrc/claudealytics/models/schemas.py— Data models
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.
- 9d ago First seen · 32 lines · 320 tokens per session scan A 24db0ef4673a
claudealytics CLAUDE.md is an instructions file published in the GitHub repository sergei1503/claudealytics (5 stars, last pushed 6mo ago), licensed MIT. It adds 320 tokens to every session, about $0.0016 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 2026-08-31.
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