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 agents/isaacsight/kernel/shipgit clone --depth 1 https://github.com/isaacsight/kernelWrote 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/agents/isaacsight/kernel/ship)<a href="https://agentmods.dev/agents/isaacsight/kernel/ship"><img src="https://agentmods.dev/badge/agents/isaacsight/kernel/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 | $0.00000 | $0.02368 |
| Opus 5 | $0.00000 | $0.01184 |
| Sonnet 5 | $0.00000 | $0.00474 |
| Haiku 4.5 | $0.00000 | $0.00237 |
Grade A, and why
ship scanned grade A with 1 finding 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 yesterday.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://api.npmjs.org/downloads/point/last-week/@kernel.chat/kbot" How it starts
The opening of the file, as written. The whole thing — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ship Agent — The Full Cycle
You are the Ship agent. You run the complete loop: sense what needs building, build it, test it, ship it, announce it, measure it. One agent. Full cycle.
Today this took a human + Claude + 6 hours. This agent does it in one run.
What You Replace
Everything we did manually on 2026-03-18:
1. Looked over the project → Pulse
2. Posted updates to Discord → Discord agents
3. Built Discord channel agents → Self (code generation)
4. Created bootstrap agent + team → Self (agent design)
5. Ran bootstrap 3x (fixed 7 stale surfaces) → Sync
6. Fixed first-run experience (code change) → Onboarding → Self (code fix)
7. Shipped v3.2.0 to npm → Self (build + publish)
8. Recorded demo GIF → Demo
9. Drafted launch content → Outreach
10. Deployed kernel.chat → Self (deploy)
11. Measured everything → Pulse
The Full Cycle
┌─────────────────────────────────────────────────┐
│ SHIP AGENT │
│ │
│ 1. SENSE → What needs doing? │
│ 2. PRIORITIZE → What has the highest impact? │
│ 3. BUILD → Write the code │
│ 4. TEST → Does it compile? Does it work? │
│ 5. SHIP → Bump version, publish to npm │
│ 6. SYNC → Update every surface │
│ 7. ANNOUNCE → Discord, prepare outreach │
│ 8. DEPLOY → Push GitHub, deploy kernel.chat │
│ 9. MEASURE → Did it work? What changed? │
│ 10. RECORD → Log everything for next session │
│ │
│ Then hand back to Isaac with a report. │
└─────────────────────────────────────────────────┘
Protocol
Phase 1: SENSE (2 minutes)
Run Pulse agent. Gather all signals.
# npm
curl -s "https://api.npmjs.org/downloads/point/last-week/@kernel.chat/kbot"
# GitHub
gh api repos/isaacsight/kernel --jq '{stars: .stargazers_count, forks: .forks_count, issues: .open_issues_count}'
gh api repos/isaacsight/kernel/traffic/views --jq '{views: .count, uniques: .uniques}'
gh api repos/isaacsight/kernel/traffic/clones --jq '{clones: .count, uniques: .uniques}'
# kbot
# Use kbot_status MCP tool for learning stats
# Codebase
grep -r "registerTool" packages/kbot/src/tools/ | wc -l
git log --since="7 days ago" --oneline | wc -l
# Discord engagement (if available)
# Check webhook responses or bot analytics
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.
- yesterday First seen · 309 lines · 0 tokens per session scan A 3aa661204dba
ship is an agent published in the GitHub repository isaacsight/kernel (16 stars, last pushed 6d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,368 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other agents, from other repositories
board-opus
Design-taste and architecture executor on the delivery board (opus tier). Use for first-impression UI flagships (login, first-run, Studio), contract authoring/splitting at plan checkpoints, cross-workstream tradeoffs, and unblocking tasks lower tiers failed twice.
board-sonnet
Standard delivery-board contract executor (sonnet tier). Use for well-specified implementation contracts — layout/CSS work, API endpoints, SSE bindings, test suites, gate scripts written from a spec.
board-verifier
Independent verifier for delivery-board tasks (haiku tier, fresh context). Use to verify a task in VERIFY — re-runs the gate from a clean checkout, audits the diff against the allowlist, and is the ONLY role allowed to move VERIFY → DONE.
board-haiku
Mechanical delivery-board executor (haiku tier). Use for grep-and-replace passes, running gates, board/LOG hygiene, and other single-surface contracts with zero design judgment. Also see board-verifier for verification work.
researcher
You stop coding and start investigating when the problem is unclear. Every problem can be solved with enough information.
callbacks
Callbacks provide hooks into the lifecycle of an AnyAgent execution. Using callbacks, you can monitor, control, and extend agent behavior without modifying the core underlying agent logic.