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 skills/ronaknnathani/relay/stack-shipnpx skills add ronaknnathani/relay --skill stack-shipgit clone --depth 1 https://github.com/ronaknnathani/relayWrote 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/ronaknnathani/relay/stack-ship)<a href="https://agentmods.dev/skills/ronaknnathani/relay/stack-ship"><img src="https://agentmods.dev/badge/skills/ronaknnathani/relay/stack-ship.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 | $0.00097 | $0.02413 |
| Opus 5 | $0.00048 | $0.01207 |
| Sonnet 5 | $0.00019 | $0.00483 |
| Haiku 4.5 | $0.00010 | $0.00241 |
Grade A, and why
stack-ship 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stack Ship
Drive a design or feature goal from intake to "all PRs merged" with near-zero steering. The orchestrator is a router, not a worker: it owns the plan, state, delegation, and author-facing decisions; subagents own execution and return structured digests.
The guardrails are non-negotiable — read them before acting.
Throughout this skill
masterdenotes the repository's default branch; substitute the real default (main, etc.). Auto-merge is armed only on a default-branch-based PR — which, in a stack, is exactly the front PR.
The one-paragraph model
You (orchestrator) turn a goal into an acceptance-criteria list and a stacked PR plan
(api → utils → stitch, smallest single-intent PRs). You spawn a deliver-pr sub-agent per PR to
run the full single-PR pipeline and open the PR. You drive whichever PR currently sits on master (the
front of the stack) to merged with the pr-monitor skill — a native /loop when available, else
one tick per resume — and add only the stack-specific front-advance and cascade. You never write code,
never post in your own voice, never
approve, never make author-owned design decisions, and never install unreviewed tooling — you route
work and surface questions. You stop when every acceptance criterion is met and every PR is merged.
When to use / not use
- Use for a multi-PR feature with a clear goal and a discoverable current→desired delta.
- Use again / resume for an active stacked delivery run. If a native loop is unavailable, the skill automatically reconstructs state and runs one monitor tick for the current front PR — the author should not have to type a special "monitor-tick mode" prompt.
- Don't use for a single small change (just do it), or when the goal/delta is too vague to write
acceptance criteria — first run
brainstorming/ ask the author to sharpen the goal.
Operating principles (the orchestrator's contract)
- Delegate everything executable. If a step writes code, runs tests, posts a comment, rebases, opens/updates PRs, posts GitHub comments, resolves threads, or reads more than a couple of files, it belongs in a subagent. The orchestrator reads digests, updates state files, and decides what to delegate next. Model: spawn every subagent with the default configured model (inherit it — don't pin a tier); only override the model when the user has stated a preference for these subagents.
- One state writer. The orchestrator is the canonical writer for the run's state files. Worker subagents return structured digests; they do not append to shared state files directly. If a delegated loop controller owns a tick, it assumes this same singleton state-writer role for that tick.
- State lives in files, never only in context. Every tick and every PR is idempotent and
resumable because the truth is on disk (state files): human-readable
Markdown plus machine-readable
state.json. - One writer per branch, ever. Never run two subagents that push the same branch at once. Serialize. (A concurrent double-push was a real near-miss.)
- Surface, don't decide. Author design/scope calls get two things: a PR reply asking for input
(marked, on the thread), and a row in the pending-decisions table the orchestrator keeps
in
questions.md. Never a unilateral decision. When unsure whether something is a fix or a decision, treat it as a decision and surface it. The orchestrator shows the author this table — open decisions only — whenever it changes; resolved decisions drop off the table. - Never impersonate. Every PR comment is prefixed
🤖 <agent> on behalf of <author>, and PR bodies/status posts disclose agent authorship instead of implying the author wrote them. - Approval is the only merge gate. Auto-merge, armed only on master-base PRs, fires on a genuine
human code-owner approval. Never self-approve, never
gh mergedirectly. - Approved tooling only. Use only approved/verified skills, hooks, MCP integrations, and tools already available in the environment. Never install or run unreviewed third-party plugins/hooks/scripts from the internet during this workflow.
- Set the goal in every harness. The session's launch input must set
/goal <the user's requested outcome>using the original task, not instructions to run the stack-ship workflow. Relay project artifacts andrelay stateremain the durable source of truth for executing and resuming the workflow. Never replace this native goal with the file-only fallback. Detect recurring-run capabilities once and record them instate.json. If/loopor an approved scheduler exists, use it. Otherwise use monitor-tick mode automatically on resume and be honest that coverage is tick-based, not continuous.
What ships with it
6 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.
- 3d ago First seen · 138 lines · 97 tokens per session scan A 67dd375e9a2e
stack-ship is a skill published in the GitHub repository ronaknnathani/relay (3 stars, last pushed 6d ago), licensed MIT. It adds 97 tokens to every session and 2,413 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.
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