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 skills add shyftlabs/continuum --skill continuum-cursorgit clone --depth 1 https://github.com/shyftlabs/continuumWrote 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/skills/shyftlabs/continuum/continuum-cursor)<a href="https://agentmods.dev/skills/shyftlabs/continuum/continuum-cursor"><img src="https://agentmods.dev/badge/skills/shyftlabs/continuum/continuum-cursor/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/skills/shyftlabs/continuum/continuum-cursor"><img src="https://agentmods.dev/badge/skills/shyftlabs/continuum/continuum-cursor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00071 | $0.00836 |
| Opus 5.5 | $0.00028 | $0.00334 |
| Sonnet 5.5 | $0.00014 | $0.00167 |
| Haiku 4.5 | $0.00007 | $0.00084 |
Grade A, and why
continuum-cursor 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Continuum + Cursor Skill
Cursor reads .cursor/rules/*.mdc files. The Continuum repo ships
.cursor/rules/continuum.mdc — copy it into any downstream project.
Minimal MDC file for a Continuum project
Create .cursor/rules/continuum.mdc:
---
description: Continuum agent framework conventions for this project
globs: ["src/**/*.py", "tests/**/*.py", "playground/**/*.py"]
alwaysApply: true
---
# Continuum Project Rules
This project uses **Continuum** (import: `continuum`, package: `shyftlabs-continuum`).
## Setup invariants
- Python 3.13. Venv: `python3.13 -m venv .venv`
- All public APIs are **async**. Entrypoints: `asyncio.run(main())`
- Always `load_dotenv()` before importing continuum settings
- `OPENAI_API_KEY` required even when using Anthropic/Gemini (mem0 embedder)
- Infra via docker compose: Redis :6380, Milvus :19530 (or Qdrant :6333)
## Core imports
\`\`\`python
from continuum.agent import BaseAgent, AgentRunner
from continuum.agent.config import AgentConfig, AgentMemoryConfig, RunnerConfig
from continuum.agent.types import Handoff, MemoryScope, RunContext, EventType
from continuum.llm import LLMClient, LLMConfig
from continuum.memory import MemoryClient
from continuum.session import SessionClient
\`\`\`
## Provider routing
Model string prefix determines provider (when gateway is not set):
- `gpt-*`, `openai/*` → OpenAI SDK
- `claude-*`, `anthropic/*` → Anthropic SDK
- `gemini/*`, `google/*` → Gemini via OpenAI-compat
When `SMART_GATEWAY_URL` is set, all models route through GatewayProvider automatically.
Use `gateway_mode="strict"|"modest"|"quality"` on BaseAgent to control routing tier.
## Critical don'ts
- No `litellm` — removed entirely
- No `response_format` on Anthropic — instruct via system prompt and parse manually
- No JSON mode + tools on Gemini simultaneously — pick one
- MemoryScope enum: `from continuum.agent.types import MemoryScope` (not from `continuum.memory`)
- SessionClient.add_message takes `ChatMessage(...)` not `role=` kwargs
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.
- 1mo ago First seen · 104 lines · 71 tokens per session scan A ca9950b5f640
continuum-cursor is a skill published in the GitHub repository shyftlabs/continuum (84 stars, last pushed 11d ago), licensed Apache-2.0. It adds 71 tokens to every session and 836 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-03.
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api-interface-design
Use when designing public APIs, module boundaries, provider adapters, tool schemas, or data contracts.
theokit-agents
TheoKit agent/LLM integration — agents/.ts convention (AgentBuilder), the tool() builder, capabilities (advanced/DI), useAgent client hook.
theokit-frontend
TheoKit frontend — file-based routing, layouts, theoFetch typed client, useAgent, React patterns.
theokit-config
TheoKit configuration — the config() builder, plugins, security, storage, agents, build targets.
theokit-database
TheoKit database — Drizzle ORM, SQLite schema, migrations, seeds, db commands.
code-review
Perform thorough code reviews, identify bugs, suggest improvements, and explain code quality issues. Use when the user shares code and asks for a review, bug hunt, or quality feedback.