Borrowing it
Nothing to install: this file belongs to hamzaMissewi/agent-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/hamzaMissewi/agent-skills/main/.claude/commands/ship.mdgit clone --depth 1 https://github.com/hamzaMissewi/agent-skillsWrote 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/hamzamissewi/agent-skills/ship)<a href="https://agentmods.dev/commands/hamzamissewi/agent-skills/ship"><img src="https://agentmods.dev/badge/commands/hamzamissewi/agent-skills/ship/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/hamzamissewi/agent-skills/ship"><img src="https://agentmods.dev/badge/commands/hamzamissewi/agent-skills/ship.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 | $0.00021 | $0.01001 |
| Opus 5 | $0.00010 | $0.00500 |
| Sonnet 5 | $0.00004 | $0.00200 |
| Haiku 4.5 | $0.00002 | $0.00100 |
Grade A, and why
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 8d 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.
This is a copy
100% identical to ship — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Invoke the agent-skills:shipping-and-launch skill.
/ship is a fan-out orchestrator. It runs three specialist personas in parallel against the current change, then merges their reports into a single go/no-go decision with a rollback plan. The personas operate independently — no shared state, no ordering — which is what makes parallel execution safe and useful here.
Phase A — Parallel fan-out
Spawn three subagents concurrently using the Agent tool. Issue all three Agent tool calls in a single assistant turn so they execute in parallel — sequential calls defeat the purpose of this command.
In Claude Code, each call passes subagent_type matching the persona's name field:
code-reviewer— Run a five-axis review (correctness, readability, architecture, security, performance) on the staged changes or recent commits. Output the standard review template.security-auditor— Run a vulnerability and threat-model pass. Check OWASP Top 10, secrets handling, auth/authz, dependency CVEs. Output the standard audit report.test-engineer— Analyze test coverage for the change. Identify gaps in happy path, edge cases, error paths, and concurrency scenarios. Output the standard coverage analysis.
In other harnesses without an Agent tool, invoke each persona's system prompt sequentially and treat their outputs as if returned in parallel — the merge phase still works.
Constraints (from Claude Code's subagent model):
- Subagents cannot spawn other subagents — do not let one persona delegate to another.
- Each subagent gets its own context window and returns only its report to this main session.
- If you need teammates that talk to each other instead of just reporting back, use Claude Code Agent Teams and reference these personas as teammate types (see
references/orchestration-patterns.md).
Persona resolution. If you've defined your own code-reviewer, security-auditor, or test-engineer in .claude/agents/ or ~/.claude/agents/, those take precedence over this plugin's versions — /ship picks up your customizations automatically. This is intentional: plugin subagents sit at the bottom of Claude Code's scope priority table, so user-level definitions win by design.
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.
- 8d ago First seen · 73 lines · 21 tokens per session scan A 02d2d0fc10bf
ship is a command published in the GitHub repository hamzaMissewi/agent-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 21 tokens to every session and 1,001 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ship, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.