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/briiirussell/cybersecurity-skillsWrote 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/rules/briiirussell/cybersecurity-skills/log-watch)<a href="https://agentmods.dev/rules/briiirussell/cybersecurity-skills/log-watch"><img src="https://agentmods.dev/badge/rules/briiirussell/cybersecurity-skills/log-watch/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/rules/briiirussell/cybersecurity-skills/log-watch"><img src="https://agentmods.dev/badge/rules/briiirussell/cybersecurity-skills/log-watch.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 | $0.00169 | $0.06170 |
| Opus 5.5 | $0.00068 | $0.02468 |
| Sonnet 5.5 | $0.00034 | $0.01234 |
| Haiku 4.5 | $0.00017 | $0.00617 |
Grade A, and why
log-watch 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 today.
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.
How it starts
The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Log Watch — Scheduled Agent Log Review and Paging for Teams Without a SIEM
Most small SaaS teams already have the logs that would show an attack: Vercel or Heroku request logs, Sentry errors, a Postgres auth table, Stripe events, CloudTrail. Nobody reads them until after the incident. This skill wires a scheduled agent over those sources: cheap deterministic filters and a small model cut the volume, a stronger model looks only at what got flagged (with the previous run's state), and a human gets paged with a "why this fired" summary and raw event links.
Detection only. The watcher reads logs and sends messages. It never blocks an IP, disables a user, rotates a key, or changes config. Response is a human decision, made in incident-triage.
Write is pre-approved because the main output is a file: the log-watch.md plan, plus an optional scaffolded job. Don't write anywhere else without asking.
Cross-references: siem-detection for when the team outgrows this and adopts a real SIEM (the detections here port to Sigma); incident-triage for what happens after a page is real; soc-operations for regulated environments that need a SIEM/MDR and staffed triage instead of this; prompt-injection because the watcher is an LLM reading attacker-controlled text; secrets-audit for the API-key events this detects and for storing the watcher's own credentials; cloud-audit and iam-audit for the CloudTrail/IAM side; threat-hunting for one-off hunts that later graduate into a detection here.
When this fits, when it doesn't
Fits: 1–30 engineers, PaaS-hosted (Vercel, Heroku, Render, Fly, Supabase, Neon), no SIEM, no on-call security person, some logs already retained somewhere.
Doesn't fit, say so and point elsewhere:
- Regulated environments (HIPAA, PCI DSS, SOC 2 with a monitoring control, FedRAMP) that need retained, tamper-evident logs and documented triage. A cron job doesn't satisfy that; use
soc-operationsand a SIEM or MDR. Log-watch can still run as an extra layer. - Already have a SIEM. Write the rules there with
siem-detection. - Endpoint threats (malware on laptops). Logs from PaaS won't show it; that's EDR territory.
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.
- today First seen · 261 lines · 169 tokens per session scan A e2a861743079
log-watch is a cursor rule published in the GitHub repository briiirussell/cybersecurity-skills (435 stars, last pushed today), licensed MIT. It adds 169 tokens to every session and 6,170 once invoked, about $0.0007 per session on Opus 5.5. 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 2026-10-27.
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