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Debug Live Issue — measured AI agent skill | DecimalAI

hoangsonww/debug-live-issue

NewSkillScoreMaintained

Debug production-like issues in this repository with disciplined evidence gathering. Use when fixing failing workflows, regressions, flaky behavior, or data inconsistencies across hooks, API, DB, websocket, and UI.

codingby hoangsonww

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

Automatic

DevOps & SRE pack

decimalai skills pull hoangsonww-debug-live-issue

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/hoangsonww-debug-live-issue/SKILL.md

Raw file: /s/hoangsonww-debug-live-issue/SKILL.md ↗ · machine-readable summary at /s/hoangsonww-debug-live-issue.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 2h ago

Yes — +9% lift-13% tokens0% turns82% of whole cases pass with skill (18/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-05	✗→✓	▲ Improved	12%	0%
case-11	✗→✓	▲ Improved	-21%	0%
case-02	✓→✓	＝ Same ✓	-29%	0%
case-03	✓→✓	＝ Same ✓	-20%	0%
case-04	✓→✓	＝ Same ✓	-17%	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 — 8/3/2026

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

hoangsonww / claude-code-agent-monitor

.claude/skills/debug-live-issue/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1Bundled 1 file

Skill contents

references/

SKILL.md

Debug Live Issue

Use this workflow for incident-style debugging.

Steps

Capture symptom, expected behavior, and reproducible path.
Isolate subsystem first: hook ingestion, API route, DB state, websocket, or UI rendering.
Reproduce with minimal surface area.
Prove root cause before changing code.
Apply minimal fix and re-verify.

Evidence standards

Prefer direct logs, API responses, DB state checks, and deterministic repro steps.
Avoid speculative fixes without root-cause evidence.
If not fully reproducible, state uncertainty and strongest hypothesis.

References

Investigation template: references/investigation-template.md

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