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/ambar-gupta22/corvus/claude-mdgit clone --depth 1 https://github.com/Ambar-Gupta22/corvusWrote 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/ambar-gupta22/corvus/claude-md)<a href="https://agentmods.dev/instructions/ambar-gupta22/corvus/claude-md"><img src="https://agentmods.dev/badge/instructions/ambar-gupta22/corvus/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 | $0.04253 | $0.04253 |
| Opus 5 | $0.02126 | $0.02126 |
| Sonnet 5 | $0.00851 | $0.00851 |
| Haiku 4.5 | $0.00425 | $0.00425 |
Grade C, and why
corvus CLAUDE.md scanned grade C 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.
Cloud metadata endpointhighServer-side request forgery
One request to 169.254.169.254 can return temporary IAM credentials.
9. **Built-in tools — phasing + safety.** Ship by dependency + blast radius, not all at once: **Calculator + guarded HttpRequest** (Phase 1), **jailed File I/O** (Phase 2), **guarded Shell** (Phase 4, with RBAC). **WebSe How it starts
The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — corvus
Guidance for AI assistants (and humans) working in this repo. Read this first.
What this project is
corvus — an in-process, offline-capable, low-latency AI agent runtime for C++. Think "LangChain, but native C++17" — except the real moat is local-first + embeddable + MCP-native, not API mimicry.
Positioning (lead with the capability, not the imitation): An agent runtime that runs where Python can't — ROS2 nodes, game threads, drones, trading loops — and speaks MCP so it works with the existing tool ecosystem on day one.
corvusis the working name (namespacecorvus,#include <corvus/corvus.h>, CMake targetcorvus::corvus). Final public name still TBD.- "Jarvis" is reserved for a later demo assistant built on top — NOT the library.
Goals
- Genuinely useful, elite (top-1%) open-source contribution for C++ developers who have no LangChain equivalent.
- Serve: ROS2 robotics, game dev (Unreal), edge/embedded (RPi/Jetson/drones), HFT/low-latency, systems programmers.
- Earn adoption via a real problem solved obviously: 12-line quickstart, offline demos, MCP ecosystem, clean CMake integration.
Three differentiators (folded into the design)
- MCP-native client — use thousands of existing MCP servers as tools; solves ecosystem cold-start.
- Native tool-calling + GBNF — provider tool-use JSON schemas for cloud; grammar-constrained JSON for local llama.cpp models. (ReAct is a fallback, not the default.)
- Async + streaming + cancellation — non-blocking
runAsync, token streaming,CancelToken. Required for ROS2/game targets (a blocking loop would stall them).
Source-of-truth docs (read before large changes)
- Design/roadmap: docs/specs/2026-06-29-jarvis-cpp-design.md — architecture, phases, decisions.
- Memory design: docs/specs/2026-07-04-memory-design.md — composable trimming policies, overflow backstop, summary/FactStore phasing.
- Phase 0 explainer (plain language + rationale): docs/phase-0-explained.md.
- Original vision:
ai-agent orchestration architecture.html(repo root) — the long-form design the above revises (framework-first reorder).
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 · 142 lines · 4,253 tokens per session scan C 6d0a06e89fb8
corvus CLAUDE.md is an instructions file published in the GitHub repository Ambar-Gupta22/corvus (5 stars, last pushed 1mo ago), licensed MIT. It adds 4,253 tokens to every session, about $0.0213 per session on Opus 5. A static security scan graded it C with 1 finding (cloud metadata endpoint). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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