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-codexgit 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-codex)<a href="https://agentmods.dev/skills/shyftlabs/continuum/continuum-codex"><img src="https://agentmods.dev/badge/skills/shyftlabs/continuum/continuum-codex/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-codex"><img src="https://agentmods.dev/badge/skills/shyftlabs/continuum/continuum-codex.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 | $0.00068 | $0.00724 |
| Opus 5.5 | $0.00027 | $0.00290 |
| Sonnet 5.5 | $0.00014 | $0.00145 |
| Haiku 4.5 | $0.00007 | $0.00072 |
Grade A, and why
continuum-codex 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Continuum + Codex CLI Skill
Codex CLI reads AGENTS.md from the project root automatically.
The Continuum repo ships a ready-made AGENTS.md — copy or symlink
it into any downstream project.
Minimal AGENTS.md for a Continuum project
# My Project — Agent Knowledge Pack
@/path/to/continuum/AGENTS.md
## Project-specific conventions
- Package: `my_app` (imports as `from my_app import ...`)
- Entry point: `src/my_app/main.py`
- Agents are defined in `src/my_app/agents.py`
- Tests: `pytest tests/` with `pytest-asyncio`
## Key agents in this project
| Agent | File | Purpose |
|---|---|---|
| `SupportAgent` | `agents/support.py` | Customer support triage |
| `BillingAgent` | `agents/billing.py` | Billing inquiries |
The @import pulls in the full Continuum API reference so Codex knows
every class, field, and pattern.
What AGENTS.md must include for Continuum projects
Codex needs these facts to write correct code on the first try:
- Import name:
continuum(the distribution isshyftlabs-continuum) - Async: all public APIs are async — entrypoints need
asyncio.run() - Provider routing: by model-string prefix, or via
SMART_GATEWAY_URL - Infrastructure: Redis on
:6380, Milvus/Qdrant for memory - No LiteLLM: direct provider SDKs only
Minimal addition to any AGENTS.md:
## Continuum conventions
- Import: `from continuum.agent import BaseAgent, AgentRunner`
- All APIs async. Use `asyncio.run(main())` at entrypoints.
- Model routing: prefix-based (`gpt-*` → OpenAI, `claude-*` → Anthropic, `gemini/*` → Gemini)
- Gateway: set `SMART_GATEWAY_URL` to route all models through the Smart Gateway
- Memory: Redis (:6380) for sessions, Milvus (:19530) or Qdrant (:6333) for long-term
- Load dotenv: always `load_dotenv()` before importing continuum settings
Running Codex against a Continuum project
# Point Codex at the project
cd my-continuum-project
codex "add a handoff from SupportAgent to BillingAgent for billing questions"
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 · 84 lines · 68 tokens per session scan A b07f96890184
continuum-codex is a skill published in the GitHub repository shyftlabs/continuum (84 stars, last pushed 11d ago), licensed Apache-2.0. It adds 68 tokens to every session and 724 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.
Other skills, from other repositories
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.
pulse
Weekly read of what is actually getting built or done, per work-block — from the tracker, the code, and the docs. State of the work, not the stream of events. Distinct from the digest, which is signal since the last run.