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/fisker086/aiops/log_analyzernpx skills add fisker086/AIOps --skill log_analyzergit clone --depth 1 https://github.com/fisker086/AIOpsWrote 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/fisker086/aiops/log_analyzer)<a href="https://agentmods.dev/skills/fisker086/aiops/log_analyzer"><img src="https://agentmods.dev/badge/skills/fisker086/aiops/log_analyzer.svg" alt="Measured on agentmods" 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 | $0.00019 | $0.00207 |
| Opus 5 | $0.00010 | $0.00103 |
| Sonnet 5 | $0.00004 | $0.00041 |
| Haiku 4.5 | $0.00002 | $0.00021 |
Grade A, and why
log-analyzer 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 4d 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
Log Analyzer Skill
Provides log parsing and analysis capabilities:
- Parse common log formats: nginx access/error, syslog, Apache, application JSON logs
- Extract structured fields from log lines
- Filter logs by level, time range, or pattern
- Summarize log statistics (error counts, top IPs, etc.)
Use builtin_log_analyzer tool with fields:
operation: one of "parse", "filter", "summarize"log_content: the log content to analyzeformat: (optional) log format hint: "nginx", "syslog", "apache", "json", "auto"filter_level: (optional) for "filter" operation: "debug", "info", "warn", "error", "fatal"
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.
- 4d ago First seen · 20 lines · 19 tokens per session scan A d64f8ff8ee19
log-analyzer is a skill published in the GitHub repository fisker086/AIOps (22 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 19 tokens to every session and 207 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 2026-08-30.
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