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.
git 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/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/agents/isaacsight/kernel/ship"><img src="https://agentmods.dev/badge/agents/isaacsight/kernel/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 | $0.00000 | $0.02368 |
| Opus 5.5 | $0.00000 | $0.00947 |
| Sonnet 5.5 | $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 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.
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.
- 1mo ago 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 1mo 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.
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