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 skills add berkcangumusisik/claude-code-practices --skill log-analyzegit clone --depth 1 https://github.com/berkcangumusisik/claude-code-practicesWrote 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/berkcangumusisik/claude-code-practices/log-analyze)<a href="https://agentmods.dev/skills/berkcangumusisik/claude-code-practices/log-analyze"><img src="https://agentmods.dev/badge/skills/berkcangumusisik/claude-code-practices/log-analyze.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 5.1 | $0.00020 | $0.00279 |
| Opus 5 | $0.00010 | $0.00139 |
| Sonnet 5 | $0.00004 | $0.00056 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
log-analyze 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 7d 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 Analysis
Source: $1 (or read from stdin if not specified)
# If file provided
cat "$1" 2>/dev/null | tail -500
# Or last N lines of common log locations
tail -200 logs/app.log 2>/dev/null || journalctl -n 200 2>/dev/null
Analyze for:
Errors & Exceptions
- Stack traces and their frequency
- Error codes and HTTP status patterns
- Repeated errors (same error > 3x = systemic issue)
Performance Signals
- Slow requests (response time > 1s)
- Timeout patterns
- Memory/CPU warnings
Anomalies
- Sudden spike in error rate
- Unusual request patterns (potential abuse)
- Auth failures in bulk
Timeline
- When did errors start?
- Correlation with deployments or traffic spikes?
Produce a concise summary:
- Root cause hypothesis (most likely reason for issues)
- Immediate action (if critical)
- Lines to investigate (with context)
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.
- 7d ago First seen · 49 lines · 20 tokens per session scan A 07733c665e82
log-analyze is a skill published in the GitHub repository berkcangumusisik/claude-code-practices (10 stars, last pushed 4mo ago), licensed MIT. It adds 20 tokens to every session and 279 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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