Borrowing it
Nothing to install: this file belongs to maxturazzini/local-agent-viewer. 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/maxturazzini/local-agent-viewer/main/CLAUDE.mdgit clone --depth 1 https://github.com/maxturazzini/local-agent-viewerWrote 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/maxturazzini/local-agent-viewer/claude-md)<a href="https://agentmods.dev/instructions/maxturazzini/local-agent-viewer/claude-md"><img src="https://agentmods.dev/badge/instructions/maxturazzini/local-agent-viewer/claude-md.svg" alt="Measured on agentmods" 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 | $0.06059 | $0.06059 |
| Opus 5 | $0.03030 | $0.03030 |
| Sonnet 5 | $0.01212 | $0.01212 |
| Haiku 4.5 | $0.00606 | $0.00606 |
Grade B, and why
local-agent-viewer CLAUDE.md scanned grade B with 1 finding 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 today.
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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
- **`bash_commands` IS all Bash** (LAV-80 — the old "24,8% only, never call it the Bash error rate" caveat is RETIRED): the `is_file_related_bash` gate is gone, any non-empty command is stored (+47.316 rows, 3,05x). True How it starts
The opening of the file, as written. The whole thing — 183 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.
What this is
LocalAgentViewer (LAV) — local long-term memory for AI agent interactions. Parses JSONL/JSON logs from Claude Code, Codex CLI, Claude Desktop, ChatGPT, and Anthropic claude.ai account exports into a single SQLite database with a web dashboard, AI classification, and optional vector search.
Commands
# Install (zero dependencies for core, extras for optional features)
pip install -e . # core only
pip install -e ".[all]" # everything (qdrant, openai, fastmcp)
# Parse & serve
lav-parse # incremental parse from local JSONL
lav-parse --project myProject # parse one project
lav-parse --full # full reparse
lav-parse --since 2026-06-01 # bounded re-read (additive, insert-only; excl. --full)
lav-parse-chatgpt # parse ChatGPT export
lav-parse-claude-ai # parse Anthropic claude.ai export folder (data-*-batch-0000)
lav-server # start server on :8764
# Unified CLI — query & KB management (zero extra deps)
lav search "query" # FTS5 full-text search
lav search "query" --project miniMe --limit 5 --format brief
lav show <session_id> # full interaction transcript
lav kb search "semantic query" # Qdrant vector search
lav kb status <session_id> # check if indexed
lav kb index <session_id> --tags "tag1,tag2"
lav kb remove <session_id>
lav kb tags <session_id> --set "new,tags"
lav sync # trigger sync (needs LAV_API_KEY)
lav sync --scope project --project miniMe
lav pricing list # list active pricing
lav pricing add --model X --input 5.0 --output 25.0 --from-date 2026-01-01
lav backfill tool-outcomes # stamp tool_call_id + outcome on historical tool rows
lav backfill tool-kind # re-derive mcp_tool_calls.kind (--reclassify after a whitelist edit)
lav backfill claude-ai-outcomes # recover claude.ai is_error from markers in messages (LAV-83)
lav backfill codex-titles # rebuild Codex display/summary from state_<N>.sqlite (LAV-91)
lav backfill codex-titles --state-db /tmp/agent_state_5.sqlite # apply another node's titles
# Specialized CLIs (still available)
lav-classify # AI classification (needs OPENAI_API_KEY)
lav-index # Qdrant vector indexing
lav-mcp # MCP server (needs fastmcp)
lav-pricing list # list model pricing (standalone)
lav-pricing add --model X ... # add/update pricing entry
lav-pricing seed # insert default pricing data
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.
- today Changed · +4 lines · +656 tokens per session 02cc63512161
- 8d ago First seen · 179 lines · 5,403 tokens per session scan B 381bd09dee46
local-agent-viewer CLAUDE.md is an instructions file published in the GitHub repository maxturazzini/local-agent-viewer (13 stars, last pushed yesterday), licensed MIT. It adds 6,059 tokens to every session, about $0.0303 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.