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 terrylica/cc-skills --skill python-logging-best-practicesgit clone --depth 1 https://github.com/terrylica/cc-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/skills/terrylica/cc-skills/python-logging-best-practices)<a href="https://agentmods.dev/skills/terrylica/cc-skills/python-logging-best-practices"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/python-logging-best-practices/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/skills/terrylica/cc-skills/python-logging-best-practices"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/python-logging-best-practices.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Rogue Agent · line 446 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 | $0.00034 | $0.04484 |
| Opus 5.5 | $0.00014 | $0.01794 |
| Sonnet 5.5 | $0.00007 | $0.00897 |
| Haiku 4.5 | $0.00003 | $0.00448 |
Grade A, and why
python-logging-best-practices scanned grade A with 1 finding 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 14d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **AI-parseable** (Claude Code can `curl` and analyze directly) How it starts
The opening of the file, as written. The whole thing — 449 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Logging Best Practices
Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.
When to Use This Skill
Use this skill when:
- Setting up Python logging for any service or script
- Configuring structured JSONL logging for analysis
- Implementing log rotation
- Choosing between lightweight (zero-dep) and full-featured logging
- Adding logging to containerized, systemd, or local applications
Overview
Unified reference for Python logging patterns optimized for machine readability (Claude Code analysis) and operational reliability. Starts with the lightest viable approach and scales up only when needed.
Decision Heuristic: Start Light, Scale Up
Is it < 5 services on a single machine, < 1 event/sec?
YES → Lightweight Pattern (print + JSONL telemetry)
NO → Is it containerized / serverless?
YES → stdout JSON (any library), no file rotation
NO → Is OTel tracing required?
YES → structlog + OTel
NO → loguru (CLI tools) or stdlib RotatingFileHandler
| Approach | Use Case | Pros | Cons |
|---|---|---|---|
| Lightweight | Small systemd services, self-hosted, single operator | Zero deps, journald integration, minimal code | No severity filtering, no per-module control |
loguru |
CLI tools, scripts, local services | Zero-config, built-in rotation, great DX | External dep, not truly schema-enforced |
structlog |
Production services, OTel integration | ContextVars, processor chains, OTel-native | Steeper learning curve |
stdlib |
LaunchAgent daemons, zero-dep constraint | No dependencies, Python 3.14 merge_extra |
More boilerplate, no structured defaults |
Logfire |
AI/LLM observability, Pydantic apps | Built on OTel, token/cost tracking, SQL | SaaS dependency, newer ecosystem |
What ships with it
4 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.
- 14d ago Changed befd847932d9
- 1mo ago First seen · 449 lines · 34 tokens per session scan A f7800f7c7b53
python-logging-best-practices is a skill published in the GitHub repository terrylica/cc-skills (0 stars, last pushed today), licensed MIT. It adds 34 tokens to every session and 4,484 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.
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