Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/vzwjustin/advisor/agents-mdgit clone --depth 1 https://github.com/vzwjustin/advisorWrote 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/vzwjustin/advisor/agents-md)<a href="https://agentmods.dev/instructions/vzwjustin/advisor/agents-md"><img src="https://agentmods.dev/badge/instructions/vzwjustin/advisor/agents-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 | $0.00409 | $0.00409 |
| Opus 5 | $0.00204 | $0.00204 |
| Sonnet 5 | $0.00082 | $0.00082 |
| Haiku 4.5 | $0.00041 | $0.00041 |
Grade A, and why
advisor AGENTS.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 4d 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
Advisor — Agent Instructions
Cursor Cloud specific instructions
Environment install
The repo on main is Rust-only (advisor-rs / Cargo.toml). There is no
pyproject.toml. Use:
bash scripts/setup.sh
Cursor Cloud reads .cursor/environment.json, which runs that script before the
agent starts. The script is idempotent (safe to re-run).
Quick reference
- Setup / sync deps:
bash scripts/setup.sh(orcargo build --lockedafter toolchain is ready) - Toolchain:
rust-toolchain.tomlpinsstable(needs edition-2024 support — Rust 1.85+) - Build:
cargo build - Tests:
cargo test --locked - Lint:
cargo clippy --all-targets -- -D warnings - Format:
cargo fmt --check - All checks:
make check(clippy + fmt + test) - Run CLI:
cargo run -- <subcommand>(e.g.version,plan,presets,ui) - Web dashboard:
cargo run -- ui --port 8765
Gotchas
- No Python package on
main:tests/*.pyanduv syncare legacy; CI usescargo test --locked. - Zero runtime deps for the binary — only the Rust toolchain is required to build.
Makefiletargets wrapcargo(seemake helpvia targets in the Makefile).- The
claudeandcodexCLIs are not needed for development/testing — only for the live pipeline. - If
cargo buildfails withedition2024/idna_adapter, runrustup update stable(handled byscripts/setup.sh).
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.
- 4d ago First seen · 36 lines · 409 tokens per session scan A fd11eea0981a
advisor AGENTS.md is an instructions file published in the GitHub repository vzwjustin/advisor (10 stars, last pushed 1mo ago), licensed MIT. It adds 409 tokens to every session, about $0.0020 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.
Other instructions, from other repositories
kungfu copilot-instructions.md
Copilot instructions for kungfu-systems/kungfu: Read and follow AGENTS.md before proposing or running changes. It is the shared agent router for this repository, including the canonical Shifu development and build entrypoint.
GPT-RAG release.instructions.md
Instructions for Azure/GPT-RAG, a project described as: Enterprise-grade accelerator for agentic RAG on Azure. Built on Microsoft Foundry with Foundry IQ as the default retrieval backend, Microsoft Agent Framework orchestration, Zero-Trust architecture and IaC.
aeon CLAUDE.md
Instructions for aeonfun/aeon, covering aeon, how aeon works, strategy, voice and soul file hierarchy (read in this order).
nanobot CLAUDE.md
Claude Code instructions for HKUDS/nanobot, a project described as: Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps.
agentic-harness AGENTS.md
AGENTS.md instructions for frangelbarrera/agentic-harness, covering project context, architecture in 30 seconds, non-negotiable rules (from manifesto.md), coding standards and commit conventions.
initrunner CLAUDE.md
Instructions for vladkesler/initrunner, covering initrunner and project map.