Borrowing it
Nothing to install: this file belongs to vonargo/intelaisense. 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/vonargo/intelaisense/master/CLAUDE.mdgit clone --depth 1 https://github.com/vonargo/intelaisenseWrote 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/vonargo/intelaisense/claude-md)<a href="https://agentmods.dev/instructions/vonargo/intelaisense/claude-md"><img src="https://agentmods.dev/badge/instructions/vonargo/intelaisense/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 | $0.01198 | $0.01198 |
| Opus 5 | $0.00599 | $0.00599 |
| Sonnet 5 | $0.00240 | $0.00240 |
| Haiku 4.5 | $0.00120 | $0.00120 |
Grade A, and why
intelaisense CLAUDE.md scanned grade A 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 6d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
- **`diagnostics` uses `subprocess.run(..., shell=True)` deliberately.** The command is a user-authored config template (same trust as the plugin); the interpolated file path is `shlex.quote`-d. Do not "harden" it to `sh How it starts
The opening of the file, as written. The whole thing — 52 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
intelaisense is a Claude Code plugin that gives an AI coding agent a perception layer — ambient, on-write signals (the "squiggly line" analog) pushed into the agent's context as it works. It is not an application; it is hooks + a dispatcher + pluggable signals, packaged like the containuity plugin.
Commands
Tests use pytest in an isolated venv (the system Python is externally-managed; do not pip install into it):
.venv/bin/python -m pytest tests/ -q # full suite
.venv/bin/python -m pytest tests/test_staleness.py -v # one file
.venv/bin/python -m pytest tests/test_dispatch.py::test_malformed_stdin_exits_zero -v # one test
If .venv is missing: python3 -m venv .venv && .venv/bin/python -m pip install pytest.
Plugin packaging smoke check: bash scripts/validate.sh (parses the manifest + hooks.json, checks the hook entry exists).
Control the signals for a project: python3 scripts/cli.py status|enable <signal>|disable <signal> [--dir=PATH].
Architecture
The flow is: hook → dispatcher → signals → additionalContext.
hooks/hooks.jsonregistersPreToolUse(Edit|Write) andPostToolUse(Read|Edit|Write), both invoking the thin shell wrapperhooks/intelaisense.sh, which execsscripts/dispatch.py.scripts/dispatch.pyis the single entry point. It reads the hook JSON from stdin, builds anEvent, loads config, opens theStateStore, runsdiscover_signals(config), and for each signal callsrun()only when(event_type, tool_name)is in that signal'sinterests(). It formats annotations under a char budget and prints{"hookSpecificOutput": {"additionalContext": ...}}only when there is text.scripts/intelaisense/is the package:types.py(Event,Annotation),state.py(StateStore),config.py(load_config+DEFAULTS),output.py(format_annotations), andsignals/(base.py+ the three signal modules).signals/__init__.pyis a lazy registry: it maps signal name →(module, class)and imports insidediscover_signalsunder try/except, so a missing or broken signal module is skipped, never fatal.
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.
- 6d ago First seen · 52 lines · 1,198 tokens per session scan A df75fbaab8b6
intelaisense CLAUDE.md is an instructions file published in the GitHub repository vonargo/intelaisense (1 stars, last pushed 2mo ago), licensed MIT. It adds 1,198 tokens to every session, about $0.0060 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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