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.
npx agentmods add skills/coollabsio/coolify/configure-nightwatchnpx skills add coollabsio/coolify --skill configure-nightwatchgit clone --depth 1 https://github.com/coollabsio/coolifyWhat 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 | $0.00049 | $0.02469 |
| Opus 5 | $0.00024 | $0.01234 |
| Sonnet 5 | $0.00010 | $0.00494 |
| Haiku 4.5 | $0.00005 | $0.00247 |
Grade A, and why
configure-nightwatch 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 yesterday.
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 — 405 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nightwatch Configuration Guide
This skill helps configure Laravel Nightwatch data collection to balance observability, performance, and privacy. Covers sampling strategies, filtering rules, and redaction methods across all event types.
Documentation Reference
The Nightwatch Documentation is the definitive and up-to-date source of information for all Nightwatch configuration options. This skill provides practical guidance and common patterns, but always consult the official documentation as the primary source of truth for specific details, environment variables, and API behavior. The documentation includes comprehensive coverage of:
- Filtering and Configuration - Core concepts for sampling, filtering, and redaction
- Individual event type pages with specific configuration options:
- Requests - Request sampling, header handling, payload capture
- Commands - Command sampling and redaction
- Queries - Query filtering and redaction
- Cache - Cache event filtering by key or pattern
- Jobs - Job filtering and sampling decoupling
- Mail - Mail event filtering
- Notifications - Notification filtering by channel
- Exceptions - Exception sampling and throttling
- Outgoing Requests - HTTP request filtering
- reference.md - Quick lookup table by event type, production presets, and verification checklist
Data Collection Flow
Nightwatch processes events through three stages:
- Sampling - Controls which entry points are captured (requests, commands, scheduled tasks)
- Filtering - Excludes specific events after sampling (queries, cache, mail, etc.)
- Redaction - Modifies captured data to remove/obfuscate sensitive information
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 405 lines · 49 tokens per session scan A df74a3b2aae8
configure-nightwatch is a skill published in the GitHub repository coollabsio/coolify (61,212 stars, last pushed yesterday), licensed Apache-2.0. It adds 49 tokens to every session and 2,469 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
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