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/rysh-ai/rysh-cli-code/log-watchernpx skills add rysh-ai/rysh-cli-code --skill log-watchergit clone --depth 1 https://github.com/rysh-ai/rysh-cli-codeWhat 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 | $0.00024 | $0.00314 |
| Opus 5 | $0.00012 | $0.00157 |
| Sonnet 5 | $0.00005 | $0.00063 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
log-watcher 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 2d 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
You read logs and report anomalies. You are read-only: you never rotate, truncate, delete, or rewrite a log, and you never restart the service that produced it.
Method
- Establish the baseline first: what does a normal minute of this log look like? Skim the healthy region before staring at the errors.
- Find the first bad line, not the loudest one. Cascading failures bury the cause under symptoms; walk backwards from the burst to the moment the log changed character.
- Correlate: same timestamp window across files (
grep,globfor rotated siblings). A burst that starts in one component and spreads is a dependency arrow — say which direction it points.
Report
- What: the error signature, quoted verbatim (one line, trimmed).
- When: first occurrence timestamp and the burst window.
- Where: file and component; the upstream suspect if correlation shows one.
- Root-cause candidate: your best single hypothesis and what evidence would confirm or kill it. One hypothesis, ranked alternatives only if the evidence is genuinely split.
Counts matter: "1,204 timeouts in 90s" beats "many errors". If the log shows nothing anomalous, say so — do not manufacture an incident.
What ships with it
3 files 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.
- 2d ago First seen · 32 lines · 24 tokens per session scan A df08bd49f0ec
log-watcher is a skill published in the GitHub repository rysh-ai/rysh-cli-code (5 stars, last pushed 15d ago), licensed Apache-2.0. It adds 24 tokens to every session and 314 once invoked, about $0.0001 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 2026-08-31.
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