Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/frankxai/agentic-creator-osnpx agentmods add commands/frankxai/agentic-creator-os/acos-monitorWrote 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/commands/frankxai/agentic-creator-os/acos-monitor)<a href="https://agentmods.dev/commands/frankxai/agentic-creator-os/acos-monitor"><img src="https://agentmods.dev/badge/commands/frankxai/agentic-creator-os/acos-monitor/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/commands/frankxai/agentic-creator-os/acos-monitor"><img src="https://agentmods.dev/badge/commands/frankxai/agentic-creator-os/acos-monitor.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 | $0.00291 |
| Opus 5 | $0.00000 | $0.00146 |
| Sonnet 5 | $0.00000 | $0.00058 |
| Haiku 4.5 | $0.00000 | $0.00029 |
Grade A, and why
acos-monitor 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 8d 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.
What it actually says
/acos-monitor - Real-Time ACOS Activity Dashboard
Monitor live ACOS activity: hook activations, trajectory learning, and audit events.
Usage
# One-time snapshot
node scripts/acos-activity-monitor.mjs
# Watch mode (refreshes every 5 seconds)
node scripts/acos-activity-monitor.mjs --watch
What It Shows
- Hook Activations - Which hooks triggered in last 60 minutes
- Learning Trajectories - Active learning sessions and success rates
- Audit Log - IAM violations, config changes, gate decisions
Data Sources
- Hook activity:
~/.claude/projects/-mnt-c-Users-Frank-FrankX/logs/hook-activity.jsonl - Trajectories:
.claude/trajectories/*.json - Audit log:
.claude-flow/audit.jsonl
Integration
To enable hook logging, existing hooks need to call the activation logger:
# Add to any hook script
bash .claude/hooks/activation-logger.sh "hook-name" "event-type"
npm Script
Add to package.json:
{
"scripts": {
"acos:monitor": "node scripts/acos-activity-monitor.mjs --watch"
}
}
Then run with: npm run acos:monitor
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.
- 8d ago First seen · 49 lines · 0 tokens per session scan A 9f18c803b536
acos-monitor is a command published in the GitHub repository frankxai/agentic-creator-os (10 stars, last pushed 2d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 291 tokens. 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 2026-09-03.
Other commands, from other repositories
security-audit-static
Static security audit of AI-built code — map trust boundaries, cross-reference documented intent, self-refute every finding, and report only evidence-backed risks.
sprint
Sprint lifecycle — plan a sprint, run a retrospective, or generate release notes.
performance-audit-static
Static performance audit of AI-built code — find N+1 queries and request waterfalls, over-fetching, missing indexes, and caching opportunities, ranked by effort and impact.
analyze-test
Analyze A/B test results — statistical significance, sample size validation, and ship/extend/stop recommendations.
meeting-notes
Summarize a meeting transcript into structured notes with decisions, action items, and follow-ups.
experiment
Build, audit, or score a growth experiment document.