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.
git clone --depth 1 https://github.com/Abdulaziz-almoshen/orbitWrote 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/commands/abdulaziz-almoshen/orbit/orbit-run)<a href="https://agentmods.dev/commands/abdulaziz-almoshen/orbit/orbit-run"><img src="https://agentmods.dev/badge/commands/abdulaziz-almoshen/orbit/orbit-run/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/commands/abdulaziz-almoshen/orbit/orbit-run"><img src="https://agentmods.dev/badge/commands/abdulaziz-almoshen/orbit/orbit-run.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00027 | $0.01166 |
| Opus 5 | $0.00014 | $0.00583 |
| Sonnet 5 | $0.00005 | $0.00233 |
| Haiku 4.5 | $0.00003 | $0.00117 |
Grade A, and why
orbit-run 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 9d 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Route this task through the Orbit loop — do not free-edit the codebase directly.
Task: $ARGUMENTS
-
READ — read
CLAUDE.mdand.orbit/STATE.md. If there is no.orbit/system in this repo yet, tell the user to run/orbitfirst to set it up, then stop. -
QUEUE — append the task to
.orbit/STATE.md's task queue with a clear done-gate. -
Board FIRST, then RUN the cycle via the sub-agent roster in
.claude/agents/: Dispatcher → Product Discovery → Business Analyst → Market Researcher → Planner → Designer on UI work → Engineer → Safety → Reviewer → QA Engineer → CPO → Reporter. For substantial work every bold stage owner is mandatory. Dispatch each actual role and require its completed activity event; mentioning it, privately applying its “lens,” or listing it as available does not count. Lite mode runs the stages sequentially. Approval controls wider concurrency, not whether Orbit may skip its capabilities. Your FIRST action — before spawning any specialist — is to make the board visible: call.orbit/activity.pyset_team([...])to declare who's active + who's queued,set_tasks([...])to write the checklist, and build the native list withTaskCreate— all up front, so the user sees the plan and who owns each step immediately, not after the work is done. Open with a one-line assignment. Only then dispatch roles with the Task tool. Before a long sub-agent wait, print the inline board (scripts/orbit-status --team) — never leave the user on only "waiting for background agent." Show the checklist two ways (do both): (a) write.orbit/tasks.jsonvia.orbit/activity.pyset_tasks/update_task— the guaranteed-visible path that feedsorbit-status; (b) also build the native checklist withTaskCreate/TaskUpdate(theTask*tools — NOTTodoWrite, which is off by default), role-tagged ([data] …,[safety] …), driven by you, the main orchestrator (a subagent's task calls don't surface). Update items toin_progress/completedas roles finish. Don't just narrate[role]lines and skip the files.Do NOT run an Orbit task through the native
Workflow(...)background runner. It executes a black-box job (Running in background · /workflows to monitor) that bypasses Orbit's entire operating model: the role-tagged checklist, the visible current owner,.orbit/tasks.json, and.orbit/activity.jsonl. Orbit's promise is watch the team work — a task is not "running through Orbit" unless the user can see who owns each step and what's done / in progress. Use the Task tool for sub-agents (each emitsstart/donevia.orbit/activity.py) and drive the checklist yourself. (Workflow(...)is fine for developing Orbit itself; it is banned as the run path for a scaffolded repo's tasks.) -
COUNTERFACTUAL PREFLIGHT for T2+ work, before implementation: use
.orbit/skills/counterfactual-regret.mdand.orbit/counterfactual.pyto attack the riskiest assumption with one cheap falsification probe. RecordAssumption -> Probe -> Evidence -> Decision. A failed probe must route back to its typed phase (discovery,plan,build, orreview) and update the checklist before continuing. -
EVALUATE against
CLAUDE.md§3 and the gates in.orbit/loop.config.json. Honor the stop conditions (§8) and approval checkpoints — propose, never auto-perform, anything irreversible, financial, or outward-facing. -
REPAIR ITERATIVELY when Reviewer, QA, or Safety finds a failure: create a structured
repair-<id>.jsonpacket per.orbit/skills/iterative-repair.md, assign a targeted fix, retest the original failure plus a regression check, and backtrack to the right phase. Stop after two attempts on the same failure and escalate; never repeat the same blind repair. -
UPDATE + REPORT — fold results into
.orbit/STATE.md(snapshot, queue, cycle log) and give a short, decision-ready summary of what changed.
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.
- 9d ago First seen · 60 lines · 27 tokens per session scan A 800c3afa778b
orbit-run is a command published in the GitHub repository Abdulaziz-almoshen/orbit (4 stars, last pushed 19d ago), licensed MIT. It adds 27 tokens to every session and 1,166 once invoked, about $0.0001 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 commands, from other repositories
scout-meta-review
Run an interactive Scout meta-review — a system-level audit that sits above the individual session types. Checks whether sessions are running, mistake audit is trending well, proposals are flowing, KB files are healthy, and data-source coverage is consistent across session types. Runs in the current conversation.
scout-work
Interactive work session — walks through today's actionable items one at a time, presents a recommended action with draft content, and executes each one only with explicit approval. Runs in the current conversation (not as a background session).
setup-video-vision
Interactive setup wizard for claude-video-vision — configure backend, whisper, frames, and verify dependencies.
delegate
Delegate a well-scoped subtask to Antigravity (agy/Gemini) under cost discipline, then verify.
model
Show or set the agy (Antigravity / Gemini) model by writing /.gemini/antigravity-cli/settings.json — the reliable way to switch models (the unreliable --model flag silently falls back to the default). No agy call; takes effect immediately, no plugin reinstall.
record
Record a browser walkthrough of a URL using Antigravity (agy). Generates .webm video, screenshots, and a report. Auto-converts to MP4 if ffmpeg is available.