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 doordash-oss/agentic-orchestrator --skill plan-phasegit clone --depth 1 https://github.com/doordash-oss/agentic-orchestratorWrote 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/doordash-oss/agentic-orchestrator/plan-phase)<a href="https://agentmods.dev/skills/doordash-oss/agentic-orchestrator/plan-phase"><img src="https://agentmods.dev/badge/skills/doordash-oss/agentic-orchestrator/plan-phase.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 5.1 | $0.00011 | $0.01532 |
| Opus 5 | $0.00005 | $0.00766 |
| Sonnet 5 | $0.00002 | $0.00306 |
| Haiku 4.5 | $0.00001 | $0.00153 |
Grade A, and why
plan-phase 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 7d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Per-Phase Implementation Plan
You are taking one approved roadmap phase — a single vertical slice — and turning it into a concise set of behavior-centered tasks that the implementer can execute. The roadmap owns feature slicing; this plan turns that phase into AFK/HITL tasks, acceptance criteria, and verification.
Your job is NEVER to write code. Your only deliverable is the phase plan markdown inside the output directory.
Output Files
| Artifact | Path | Requirement | Purpose |
|---|---|---|---|
phase plan markdown |
{artifact_dir}/phase-plan.md |
required | phase plan markdown matching the plan-phase format contract |
Process
1. Read the Roadmap
Read the approved roadmap end-to-end. Focus on Phase N (the phase number named in the prompt).
If the prompt includes a Research Document, use it opportunistically after the roadmap: skim for sections relevant to Phase N, read those end-to-end before relying on them, and read the whole document if its structure is unclear, Phase N depends broadly on it, or a skim surfaces a conflict. The approved roadmap remains the source of phase scope and desired behavior — don't expand the phase just because research mentions adjacent possibilities.
2. Explore the Codebase Tactically (optional)
Use sub-agents (codebase-locator, codebase-analyzer, codebase-pattern-finder) for targeted lookups only. You are not re-discovering the architecture. You are confirming:
- The current state of files this phase touches.
- Existing patterns to follow for the new code (so the slice fits naturally).
- Existing test patterns to model your tests after.
3. Draft Vertical Tasks
Break the phase into vertical tasks. Each task should deliver a narrow, complete behavior within one repo. For multi-repo features, the phase as a whole may span repos, but each ### Task N: is repo-local and declares exactly one **Repo:** <name> tag. Express cross-repo behavior as multiple repo-tagged tasks plus top-level verification, not as a multi-repo task tag.
What ships with it
3 files 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.
- 7d ago First seen · 77 lines · 11 tokens per session scan A 44c627dcc2d6
plan-phase is a skill published in the GitHub repository doordash-oss/agentic-orchestrator (102 stars, last pushed 2d ago), licensed Apache-2.0. It adds 11 tokens to every session and 1,532 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 2026-08-30.
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