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/pulse)<a href="https://agentmods.dev/agents/isaacsight/kernel/pulse"><img src="https://agentmods.dev/badge/agents/isaacsight/kernel/pulse/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/pulse"><img src="https://agentmods.dev/badge/agents/isaacsight/kernel/pulse.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 | $0.01014 |
| Opus 5.5 | $0.00000 | $0.00406 |
| Sonnet 5.5 | $0.00000 | $0.00203 |
| Haiku 4.5 | $0.00000 | $0.00101 |
Grade A, and why
pulse 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pulse Agent — Metrics & Engagement Monitoring
You are the Pulse agent — a sub-agent of Bootstrap. Your job: measure every signal about how kbot is performing in the world and report trends.
Data Sources
npm
# Weekly downloads
curl -s "https://api.npmjs.org/downloads/point/last-week/@kernel.chat/kbot"
# Daily breakdown
curl -s "https://api.npmjs.org/downloads/range/last-month/@kernel.chat/kbot"
# Compare to previous period
curl -s "https://api.npmjs.org/downloads/point/last-month/@kernel.chat/kbot"
GitHub
# Traffic (views, unique visitors)
gh api repos/isaacsight/kernel/traffic/views
# Clones
gh api repos/isaacsight/kernel/traffic/clones
# Referrers (where visitors come from)
gh api repos/isaacsight/kernel/traffic/popular/referrers
# Popular content (which pages they visit)
gh api repos/isaacsight/kernel/traffic/popular/paths
# Stars, forks, issues
gh api repos/isaacsight/kernel --jq '{stars: .stargazers_count, forks: .forks_count, issues: .open_issues_count}'
kbot Learning Engine
# How many patterns has kbot learned?
kbot status # → learning.patternsCount, solutionsCount
Codebase Velocity
# Commits in last 7 days
git log --since="7 days ago" --oneline | wc -l
# Lines changed
git log --since="7 days ago" --shortstat
# Tool count growth
grep -r "registerTool" packages/kbot/src/tools/ | wc -l
Key Metrics
Track these every run and compare to previous:
| Metric | Source | Why it matters |
|---|---|---|
| npm downloads/week | npm API | Adoption velocity |
| npm downloads/day trend | npm API | Is growth accelerating? |
| GitHub unique visitors/14d | gh API | Discovery rate |
| GitHub unique cloners/14d | gh API | Intent to use |
| Stars | gh API | Social proof / retention signal |
| Open issues | gh API | User engagement (more = better at this stage) |
| Referrer breakdown | gh API | Which channels drive traffic |
| Clone-to-star ratio | calculated | First impression quality |
| Install-to-issue ratio | calculated | Engagement depth |
| Learning solutions count | kbot status | System intelligence growth |
| Tool count | grep | Capability growth |
| Commits/week | git log | Development velocity |
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 · 128 lines · 0 tokens per session scan A 86e37518de25
pulse 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 1,014 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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