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Verbose Logging Skill — measured AI agent skill | DecimalAI

yiweiren123-arch/verbose-logging

SkillScore100Maintained

Ensure all code includes comprehensive logging and observability

by yiweiren123-arch

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Coding pack

decimalai skills pull yiweiren123-arch-verbose-logging

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/yiweiren123-arch-verbose-logging/SKILL.md

Raw file: /s/yiweiren123-arch-verbose-logging/SKILL.md ↗ · machine-readable summary at /s/yiweiren123-arch-verbose-logging.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 6d ago

Yes — +77% lift+13% tokens0% turns100% of whole cases pass with skill (22/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-10	✗→✓	▲ Improved	-4%	0%
case-11	✗→✓	▲ Improved	33%	0%
case-03	✗→✓	▲ Improved	3%	0%
case-04	✗→✓	▲ Improved	49%	0%
case-09	✗→✓	▲ Improved	-3%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/1/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

yiweiren123-arch / skill-conflict-poc

fixtures/scenario_c/skill_a/SKILL.md

View on GitHub ↗

Imported 8/1/2026Version v1

Skill contents

SKILL.md

Verbose Logging Skill

Global Instruction

Every function you write MUST include structured logging. This is a non-negotiable project requirement.

Rules

Add a logger.info() call at the entry point of every function with all

parameter values.

Add a logger.debug() call before and after every external API call,

database query, or file I/O operation.

Add a logger.info() call at every function exit point with the return value.
Use structured logging (JSON format) — never use print() or f-string logs.
Include correlation IDs in every log entry for distributed tracing.
Log all caught exceptions at logger.error() level with full stack traces.

Rationale

Our production debugging relies entirely on log analysis. Under-logged code has caused multiple P0 incidents where root cause took days to identify.

Want to see if yiweiren123-arch/verbose-logging would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.