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 jleechanorg/agent-orchestrator-ts --skill agent-orchestratorgit clone --depth 1 https://github.com/jleechanorg/agent-orchestrator-tsWrote 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/jleechanorg/agent-orchestrator-ts/agent-orchestrator)<a href="https://agentmods.dev/skills/jleechanorg/agent-orchestrator-ts/agent-orchestrator"><img src="https://agentmods.dev/badge/skills/jleechanorg/agent-orchestrator-ts/agent-orchestrator/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/jleechanorg/agent-orchestrator-ts/agent-orchestrator"><img src="https://agentmods.dev/badge/skills/jleechanorg/agent-orchestrator-ts/agent-orchestrator.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 | $0.00078 | $0.00587 |
| Opus 5.5 | $0.00031 | $0.00235 |
| Sonnet 5.5 | $0.00016 | $0.00117 |
| Haiku 4.5 | $0.00008 | $0.00059 |
Grade A, and why
agent-orchestrator 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Orchestrator
Use AO for durable coding work instead of manually creating worktrees or running agent CLIs directly.
Default workflow
- Bootstrap the repo or project with
ao start. - Dispatch non-trivial coding work with
ao spawn. - Inspect live state with
ao statusorao session ls. - Send follow-up instructions with
ao send. - Recover or clean up sessions with
ao session restoreandao session cleanup.
Commands to prefer
# Start AO in the current repo
ao start
# Start AO for another local repo or clone from GitHub
ao start ~/path/to/repo
ao start https://github.com/owner/repo
# Dispatch work
ao spawn "fix the flaky GitHub SCM retry path"
ao spawn -p agent-orchestrator bd-1234
ao spawn --project agent-orchestrator --claim-pr 456
# Inspect and steer work
ao status
ao session ls
ao send <session-id> "Also update the failing test coverage."
# Recovery and cleanup
ao session restore <session-id>
ao session cleanup --dry-run
Working rules
- Prefer
ao spawnfor coding, debugging, CI fixes, review follow-up, and multi-step work. - Use direct shell commands only for quick diagnostics or when AO itself is unavailable.
- If multiple projects are configured and cwd does not disambiguate, pass
-p, --project. - Prefer the existing AO session lifecycle over ad hoc worktrees and hand-run agent CLIs.
- When editing AO config, read
references/config.md.
When not to use AO
- Tiny read-only checks:
git status,gh pr view,rg, simple file inspection. - One-off local diagnostics where starting a full worker would be slower than the task.
Related files
- Config reference:
references/config.md - CLI help:
ao --help,ao spawn --help,ao start --help - Repo policies:
AGENTS.md,CLAUDE.md - Binary installation norms: Binary Installation — Canonical Install Paths —
scripts/setup.shfor repo maintainers,npm install -g @jleechanorg/ao-clifor others;ao doctormust pass after any install or update
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 62 lines · 78 tokens per session scan A 09593b7a8168
agent-orchestrator is a skill published in the GitHub repository jleechanorg/agent-orchestrator-ts (8 stars, last pushed 3d ago), licensed MIT. It adds 78 tokens to every session and 587 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 2026-10-02.
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