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A5c AI/Debugging Patterns — measured AI agent skill | DecimalAI

a5c-ai/debugging-patterns

SkillScore41Maintained

Root cause analysis frameworks including log-first investigation, git bisect correlation, and pattern-based diagnosis with confidence scoring.

by a5c-ai

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

Automatic

Coding pack

decimalai skills pull a5c-ai-debugging-patterns

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/a5c-ai-debugging-patterns/SKILL.md

Raw file: /s/a5c-ai-debugging-patterns/SKILL.md ↗ · machine-readable summary at /s/a5c-ai-debugging-patterns.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 9d ago

—-48% tokens0% turns41% of whole cases pass with skill (9/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-06	✗→✓	▲ Improved	-39%	0%
case-07	✗→✓	▲ Improved	-42%	0%
case-14	✗→✓	▲ Improved	-38%	0%
case-15	✗→✓	▲ Improved	-76%	0%
case-16	✗→✓	▲ Improved	-76%	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 — 7/31/2026

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

a5c-ai / babysitter

library/methodologies/cc10x/skills/debugging-patterns/SKILL.md

View on GitHub ↗

License MITImported 7/31/2026Version v1

Skill contents

SKILL.md

Pattern-Based Diagnosis

Check patterns.md for known gotchas matching the error
Cross-reference with common patterns: null pointer, race condition, resource leak, config error
Rate root cause confidence (>=80% to proceed with fix)

Evidence Collection

Stack traces with full call chain
Error messages with context
Exit codes from reproduction attempts
Git blame/log for change correlation
Environment differences (if applicable)

When to Use

During DEBUG workflow investigation phase
When BUILD tests fail unexpectedly
When reviewing error handling gaps

Agents Used

bug-investigator (primary consumer)
silent-failure-hunter (pattern reference)

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