hiloop
Operate hiloop — agent sandboxes you can snapshot and branch, with run-scoped observability — from the hiloop CLI. Bundles the hiloop Agent
Open source Open in the app JSON README (API)
About
Operate hiloop — agent sandboxes you can snapshot and branch, with run-scoped observability — from the hiloop CLI. Bundles the hiloop Agent Skills.
Details
- Kind
- Plugins
- Topic
- Cloud & DevOps
- Publisher
- hiloopai
- Origin
- gemini
- Category
- ferramentas
- Version
- 0.6.7
- Stars
- 1
- Last push
- 2026-08-14T03:32:29Z
- Repository state
- ativo
- Language
- Python
- License
- Apache-2.0
- Added
- 2026-08-30 14:13:39
- Updated
- 2026-08-30 14:13:39
- Origin id
hiloopai/skills
README
# hiloop skills Open-source [Agent Skills](https://agentskills.io) that teach AI coding agents to operate **[hiloop](https://hiloop.ai)** — isolated agent sandboxes you can snapshot and branch, with run-scoped observability. The skills follow the open Agent Skills standard, so they work across harnesses (Claude Code, Cursor, Codex, and others). They drive hiloop through the `hiloop` **CLI** — the supported agent interface — not an MCP server: a CLI the agent already knows how to drive costs far less context than loading tool definitions every turn. ## What's here | Skill | Use it to | |---|---| | [`autoresearch`](skills/autoresearch/SKILL.md) | Run an autonomous research loop with evolving idea cards, scored experiments, an ensemble, and a leaderboard | | [`authenticating`](skills/authenticating/SKILL.md) | Sign in with `hiloop login` (or a key), verify identity, mint and revoke keys | | [`operating-sandboxes`](skills/operating-sandboxes/SKILL.md) | Create, inspect, exec, stop, start, and delete sandboxes; follow conditional references for sessions, snapshots, and devboxes | | [`managing-volumes`](skills/managing-volumes/SKILL.md) | Publish and version large data once, mount it into many sandboxes | | [`managing-secrets`](skills/managing-secrets/SKILL.md) | Manage write-only credentials; delivery remains fail-closed until the proof-bound gateway ships | | [`launching-as-workloads`](skills/launching-as-workloads/SKILL.md) | Launch a run as a registered machine identity (a workload) and control who may launch as it | | [`querying-observability`](skills/querying-observability/SKILL.md) | Capture a run, query its telemetry with SQL, and follow it live | | [`annotating-runs`](skills/annotating-runs/SKILL.md) | Stamp structured judgments (outcome / score) you can filter and aggregate on | | [`reporting-product-bugs`](skills/reporting-product-bugs/SKILL.md) | Report a hiloop bug (or send product feedback) to the hiloop team with `hiloop feedback` | [`AGENTS.md`](AGENTS.md) is the whole-product orientation an agent reads first. ## Quickstart **1. Install the CLI** (single static binary): ```sh curl -fsSL https://hiloop.ai/install.sh | sh hiloop --version ``` **2. Point the CLI at your deployment, then authenticate** — the built-in default edge is not live, so save a context (or set `HILOOP_API_URL`) first. `hiloop login` is the default (`--device` on a remote box with no local browser): ```sh hiloop config set-context my-deployment --api-url https://api.example.com hiloop config use-context my-deployment hiloop login hiloop whoami ``` …or headless (an agent / CI), skip the browser with a key: `export HILOOP_API_KEY="hil_…"`. **3. Upgrade the CLI, then install the skills.** Choose your harness, or install every supported target: ```sh hiloop skills install claude-code # cursor | codex | gemini | copilot hiloop skills install all ``` `copilot` installs into the current repository; the other targets install for your user. Full target paths, native alternatives, and unsupported-harness fallback instructions are in [`SETUP.md`](SETUP.md). The CLI pins a verified bundle release. Then ask your agent to capture a run and query its telemetry — the skills guide the rest. > **Sandbox status.** Core lifecycle and buffered exec are served. Optional capabilities are > deployment-dependent and refuse explicitly when absent; see the capability table in > [`operating-sandboxes`](skills/operating-sandboxes/SKILL.md). Every create returns an ambient run, > with managed capture for explicit entrypoints, exec, SSH output, cooperative HTTP, and OTLP. For autonomous metric optimization, point the agent at your task, fixed dataset/scorer, and the [`autoresearch`](skills/autoresearch/SKILL.md) skill. Watch it with the public [`fleet-dashboard`](tools/fleet-dashboard/README.md). ## Develop These skills mirror the `hiloop` CLI surface and the published guides at https://docs.hiloop.ai. Keep skill bodies under ~500 lines and push dense schemas into `references/`, per the Agent Skills best practices. When the CLI changes, update the matching skill in the same change. `scripts/check-skills.sh` is a lightweight drift guard (run in CI on every change and weekly): it checks each skill's frontmatter/length/links and — when a `hiloop` binary is on `PATH` — that every `hiloop …` command a skill mentions still exists, derived live from `hiloop --help` (no hardcoded list). Run it locally with `./scripts/check-skills.sh`. ## License Apache-2.0 (see `LICENSE`).