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 agentmods add commands/w00fx/spec-anchored-agentic-development/orchestrategit clone --depth 1 https://github.com/w00fx/spec-anchored-agentic-developmentWrote 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/w00fx/spec-anchored-agentic-development/orchestrate)<a href="https://agentmods.dev/commands/w00fx/spec-anchored-agentic-development/orchestrate"><img src="https://agentmods.dev/badge/commands/w00fx/spec-anchored-agentic-development/orchestrate.svg" alt="Measured on agentmods" 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 | $0.00091 | $0.04420 |
| Opus 5 | $0.00046 | $0.02210 |
| Sonnet 5 | $0.00018 | $0.00884 |
| Haiku 4.5 | $0.00009 | $0.00442 |
Grade A, and why
orchestrate 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 3d 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 — 338 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orchestrate the project in resolution-gated waves
You are the orchestrator, not the implementer. Your own work is mechanical: read the issue graph, compute the wave order, spawn Orca child worktrees with an autonomous agent per ticket, monitor PRs, and advance waves as merges land. Each ticket's code judgment lives inside its worktree agent. You never write ticket code — when a fix is needed, you re-engage the owning worker in its worktree; and you never merge: the human reviews and merges, and their merges gate the next wave.
Phase 0 — Load Orca's mechanism (never from memory)
- Resolve the executable once:
ORCA_CLI_COMMANDif set; elseorca-devin a dev checkout; elseorca-ideon Linux outside an Orca-managed terminal (never bareorcathere — GNOME screen reader); elseorca. On error, report and stop — no fall-through. ORCA status --jsonmust succeed.ORCA skills get orca-cli— read it. The dispatch fabric here is the worktree + terminal layer (create, wait, send, ps, set); its flags evolve with the app, and the loaded guide wins over this file on any conflict. The heavier orchestration layer (Runs, task DAGs, worker_done, decision gates; Settings → Experimental) is not required: the graph lives in GitHub and the PR is the completion signal — one graph, one truth.
Baked-in defaults (do NOT re-ask these)
- Resolution-gated waves — a ticket starts only after ALL its
blockers are resolved: merged to
main, a corroborated no-change, or a human graph decision. Every PR targetsmain; no stacked-branch retargeting. Every wave after the first is cut from fresh, verifiedorigin/main. - Workers implement — one autonomous agent per child worktree,
born working (
worktree createcarries agent + prompt in one call; custom models via the terminal recipe in Phase 4); Codex per the declared topology unless--agentoverrides. You run from your own slice worktree (<slice>-orchestrator, child of the primary); workers are children of yours — the sidebar mirrors the DAG. - CI + review gate — "review-ready" = required checks pass, the applicable-lens review is posted, and no actionable feedback remains. Never merge.
- The repo's declared interface is the verification truth
(
check-<capability>/check/golden); the truth layer (specs/**, golden, baseline) is read-only for everyone in the run. - Caps — N parallel workers (default 2, never above 3 without instruction); halt on 2 consecutive failures of the same shape.
- Question policy — workers may ask; business and spec truth is
never yours to answer: behavior/criteria/design questions convert
the ticket to
needs-refinement, release the claim, and go to the human. You answer only mechanical questions, from repo facts. - Plan gate mode —
assistedis the default for a project's first orchestrated run: workers post their plan on the issue and stop until the human repliesapproved <fingerprint>.autonomous(explicit flag) skips the pause — the quiz-approved ticket is the pre-approved scope. Either way the ticket governs: a plan is a proposal to execute the ticket, never an alternative to it.
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.
- 3d ago First seen · 338 lines · 91 tokens per session scan A 5ff5451c3af7
orchestrate is a command published in the GitHub repository w00fx/spec-anchored-agentic-development (5 stars, last pushed 9d ago), licensed MIT. It adds 91 tokens to every session and 4,420 once invoked, about $0.0005 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
spec-kitty.analyze
Spec-Driven Development for serious software developers. Spec Coding with with Claude, Cursor, Gemini, Codex. Kanban dashboard, git worktrees, auto-merge and more.
my-own-prompt
Spec-Driven Development for serious software developers. Spec Coding with with Claude, Cursor, Gemini, Codex. Kanban dashboard, git worktrees, auto-merge and more.
kiro-spec-tasks
Command "kiro-spec-tasks" from gotalab/cc-sdd, covering implementation tasks generator, core task, execution steps, step 1: load context and step 2: generate implementation tasks.
plan
Decompose specs into small, verifiable tasks with dependency ordering.
assign
Turn a backlog item (ID-NNN) into a scoped goal draft and route it into the right WORKFLOW lane. Writes .claude/goals/, never executes.
specmanager-build
Build one phase of a SpecManager feature's plan via the builder subagent. Stops at the phase boundary; never advances.