Borrowing it
Nothing to install: this file belongs to Railly/agent-brain. 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/Railly/agent-brain/main/.agents/skills/pulse/SKILL.mdgit clone --depth 1 https://github.com/Railly/agent-brainWrote 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/railly/agent-brain/pulse)<a href="https://agentmods.dev/skills/railly/agent-brain/pulse"><img src="https://agentmods.dev/badge/skills/railly/agent-brain/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/skills/railly/agent-brain/pulse"><img src="https://agentmods.dev/badge/skills/railly/agent-brain/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 | $0.00012 | $0.01314 |
| Opus 5.5 | $0.00005 | $0.00526 |
| Sonnet 5.5 | $0.00002 | $0.00263 |
| Haiku 4.5 | $0.00001 | $0.00131 |
Grade B, and why
pulse scanned grade B 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 2mo 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.
Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
Don't lecture. Just flag and move on. How it starts
The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyze engagement, apply 80/20 rule, detect drift and blind spots.
Philosophy
You have many interests. Pareto says 20% of your focus drives 80% of results.
But you also drift, get distracted, and forget goals.
/pulse is your honest mirror.
Data Sources
CLAUDE.mdGoals section01_Inbox/*.md- what you capture/consume03_Garden/**/*.md- what you process into durable notes02_Journal/daily/*.md- what you do- Git commits across repos (if accessible)
Analysis
1. Pareto Ranking
engagement = (clips * 1) + (notes * 3) + (logs * 2) + (commits * 5)
Sort topics, find vital 20%:
VITAL 20%
━━━━━━━━━
1. Rust ████████████ 45%
2. AI Agents ██████░░░░░░ 25%
3. Auth ████░░░░░░░░ 15%
─────
85%
2. Drift Detection
Topics with HIGH engagement but NOT in stated goals:
DRIFT DETECTED
You clipped 8 articles about "AI Agents" this week
but it's not in your goals.
→ Add to priorities?
→ Or consciously ignore?
3. Hidden Patterns
Cluster connected notes:
HIDDEN PATTERN
[[rust-ownership]] + [[react-hooks]] + [[gpui-state]]
→ Emerging interest: "Memory models across languages"
→ Content opportunity: Blog series comparing ownership patterns?
4. Blind Spots
Goals with LOW/NO engagement:
BLIND SPOTS
- "Math for ML" - No engagement in 14 days
- "Content creation" - 5 ideas queued, 0 published
5. Interest Lifecycle
EMERGING : {topics}
GROWING : {topics}
PEAK : {topics}
DECLINING : {topics}
DORMANT : {topics} (30+ days)
6. MITs (Most Important Things)
3 tasks for the week based on Pareto + deadlines:
YOUR 3 MITs THIS WEEK
1. [ ] {vital 20% topic}
2. [ ] {deadline-driven item}
3. [ ] {compounds over time}
Output Format
# Pulse Report - {{date}}
## Alignment Score: {X}%
## Pareto: Your Vital 20%
| Topic | Engagement | % | In Goals? |
|-------|------------|---|-----------|
| {topic} | {bar} | {%} | Yes / DRIFT |
## Drift Detected
- **{topic}**: {n} clips, {n} notes - not in goals
→ Promote to goal? Or conscious distraction?
## Hidden Patterns
- [[note1]] + [[note2]] + [[note3]]
→ Theme: "{emerging theme}"
→ Content: {opportunity}?
## Blind Spots
- {goal}: {n} engagement, {n} days
## Interest Lifecycle
EMERGING: {topics}
GROWING: {topics}
PEAK: {topics}
DECLINING: {topics}
DORMANT: {topics}
## Your 3 MITs This Week
1. [ ] _____ (vital 20%)
2. [ ] _____ (deadline)
3. [ ] _____ (compounds)
## Recommendations
1. {action 1}
2. {action 2}
3. {action 3}
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.
- 2mo ago First seen · 193 lines · 12 tokens per session scan B d07d749d4131
pulse is a skill published in the GitHub repository Railly/agent-brain (22 stars, last pushed 3mo ago), licensed MIT. It adds 12 tokens to every session and 1,314 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
pulse compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| pulseRailly/agent-brain | Skill | 22 | 3mo ago | MIT | B | 12 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |