Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add fledgeling-co/fledgeling-plugins/plugin install ship-fleetWrote 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/fledgeling-co/fledgeling-plugins/ship-fleet)<a href="https://agentmods.dev/skills/fledgeling-co/fledgeling-plugins/ship-fleet"><img src="https://agentmods.dev/badge/skills/fledgeling-co/fledgeling-plugins/ship-fleet/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/fledgeling-co/fledgeling-plugins/ship-fleet"><img src="https://agentmods.dev/badge/skills/fledgeling-co/fledgeling-plugins/ship-fleet.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 | $0.00201 | $0.06195 |
| Opus 5.5 | $0.00080 | $0.02478 |
| Sonnet 5.5 | $0.00040 | $0.01239 |
| Haiku 4.5 | $0.00020 | $0.00619 |
Grade A, and why
ship-fleet 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 1mo 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 — 375 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ship Fleet — backlog-wide feature orchestrator
Take everything that remains in a repo's feature pipeline and drive it to merged, verified
production code. You are the orchestrator: survey the pipeline, build one durable plan-and-ledger
(ORCHESTRATOR.md), then conduct concurrent ship-feature:ship-feature runs in dependency order — verifying,
merging, and updating the ledger as each lands. One feature = one run; your job is everything
between the runs.
preflight → survey → hygiene → artifacts (ORCHESTRATOR.md + hierarchy html, BEFORE execution)
→ serial pre-triage → fleet (dependency-ordered ship-feature runners, global agent budget,
lane-routed subagents + executor lanes, out-of-family gates, per-item cross-family verify,
serialized merges, ledger updated after every event)
Everything is discovered inside the project — never hardcode paths. Conventional layout
(markdown lane; the tasks lane swaps the ledger/specs for the board, per shipyard's
references/tracker-adapter.md): ledger at docs/features-to-triage/LEDGER.md (older repos
docs/feature-specs/LEDGER.md — pick what exists, never create both), specs docs/specs/,
plans docs/plans/, briefs docs/features-to-triage/, mocks under design/, research
docs/deep-research/, DESIGN md at root, worktrees .worktrees/<ID> on ai/<id>
(git worktree list is authoritative).
Running as a Gemini model? Read gemini.md in this directory first, then follow this file with the overrides it names. It turns the survey's categorical scopes and the runner brief's ENTIRE-UI clause into counted worklists, makes every ledger status carry the command that produced it, and routes orchestrator-hierarchy.html and the serialized merge to another model. Other models skip it.
Operating discipline
- You stay in-session, holding the map. Runner roles follow the user-selected model policy in shipyard's
references/model-lanes.md. Resolve a supported agent/CLI route and observe its execution; do not force every runner to Opus or assume one harness's background behavior applies to another. Keep integration decisions with the conductor. ORCHESTRATOR.mdis the memory, not the transcript. Update it after every state change; a fresh session must be able to resume the whole fleet from that file alone. After compaction: re-read it, the DESIGN md, and the ledger before acting.- Plan before execution — both artifacts written, shown, committed before the first slot.
- Dependencies rule the schedule. An item never starts before its internal dependencies have merged (not merely finished). External dependencies flag and skip an item; they never stall the fleet.
- Five concurrent agents is a correctness limit, not a throughput preference. Going
wider does not slow a wave down — it kills agents that never emit a token. Measured
2026-08-26: 92 agents died silently, 88 of them at exactly 180.0 seconds, each leaving
a four-line transcript ending
[Request interrupted by user]with no assistant message and no error row anywhere. A wave of eight that loses three is slower than a wave of five that loses none and looks identical in every counter. Corroborated externally on a different harness: accuracy peaks near five concurrent agents and degrades after, with timeout errors climbing from ~3 to 50. Treat a request to run wider as a request to lose work silently. - A global agent budget, not two independent caps. Runner slots × each runner's inner ≤4 waves multiply into the same rate limiter — budget the product (default: slots × wave ≤ ~16; keep the number of runners within the resolved user/tool/five-runner cap and reduce inner waves as needed). Record the selected concurrency; ask only if it exceeds existing authorization.
- Take the slot count from
harbourmaster:harbourmaster. Itsberths.pyreports what this Mac can carry right now, and the loop re-reads it on every refill because pressure moves under a long fleet. If the governor is missing or unreadable, usemin(2, maxRunners), wheremaxRunnersalready respects the user, tool and five-runner caps. A measured zero launches no work; persist the scheduling state and wait through the supported resume mechanism. Resolve its path once in the conductor and pass that path into every runner's brief — a spawned agent does not reliably inheritCLAUDE_PLUGIN_ROOT, so a runner that re-derives the path finds nothing and reports harbourmaster missing on a machine that has it.references/scheduling-and-concurrency.mdcarries the resolution, the hand-down, and the soft-fail. Say in the go-ahead which slot count you used and whether it was measured. - Never destroy unmerged work. Cleanup removes only the provably merged or empty; unique commits queue for resume or go to the user.
- Report thinly; artifacts terse. ORCHESTRATOR.md is rows and statuses, never prose.
What ships with it
4 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.
- 1mo ago Changed · -8 lines 82e83647cd7f
- 1mo ago First seen · 383 lines · 201 tokens per session scan A 36734c7bfda6
ship-fleet is a skill published in the GitHub repository fledgeling-co/fledgeling-plugins (2 stars, last pushed 4d ago), licensed MIT. It adds 201 tokens to every session and 6,195 once invoked, about $0.0008 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 2026-09-04.
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