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/jartan-llc/grimoire/logging-patternsnpx skills add Jartan-LLC/grimoire --skill logging-patternsgit clone --depth 1 https://github.com/Jartan-LLC/grimoireWrote 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/jartan-llc/grimoire/logging-patterns)<a href="https://agentmods.dev/skills/jartan-llc/grimoire/logging-patterns"><img src="https://agentmods.dev/badge/skills/jartan-llc/grimoire/logging-patterns.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 | $0.00016 | $0.00456 |
| Opus 5 | $0.00008 | $0.00228 |
| Sonnet 5 | $0.00003 | $0.00091 |
| Haiku 4.5 | $0.00002 | $0.00046 |
Grade A, and why
logging-patterns 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
Logging Conventions
Setup
One logger per module, at module level:
import logging
logger = logging.getLogger(__name__)
Formatting
Use %s-style formatting arguments, not f-strings -- the message template is preserved for structured aggregator queries:
logger.info("Cleaned up %d expired sessions", count) # yes
logger.exception("SMTP send failed for %s", email) # yes (in an except handler)
logger.info(f"Cleaned up {count} expired sessions") # no
%s deferral is stdlib-specific -- structlog uses kwargs, not %s. See pythonica:python-observability.
Level Conventions
| Level | Use for |
|---|---|
DEBUG |
Cache hit/miss, slow-path internals (opt-in only) |
INFO |
Startup/shutdown, admin bootstrap, cleanup counts, rate limit hits |
WARNING |
Recoverable anomalies, swallowed exceptions, degraded operation |
ERROR |
Unexpected exceptions on operational paths -- use logger.exception(...) |
CRITICAL |
Reserved for unusable state |
Output
Log to stderr when stdout carries the program's own output -- the common case: CLIs, filters, pipeline stages (also Python's logging.StreamHandler default). Use stdout only for pure log-shipping services that emit nothing else. One record per line either way. Container runtimes (Docker, k8s) capture both streams, so the choice isolates logs from program output, not runtime visibility -- no file sinks or log rotation in-app.
Support two formats via config:
plain-- Readable for local devjson-- Stable single-line object per record for log aggregators (Loki, Datadog, ELK, CloudWatch)
Timestamps in UTC in both formats.
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 · 52 lines · 16 tokens per session scan A 4c130f7d7418
logging-patterns is a skill published in the GitHub repository Jartan-LLC/grimoire (2 stars, last pushed 17d ago), licensed MIT. It adds 16 tokens to every session and 456 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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