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Bregman Arie/Triage GCP Quota Exceeded — measured AI agent skill | DecimalAI

bregman-arie/Triage GCP Quota Exceeded

SkillScore100Maintained

Diagnose GCP quota errors and identify the quota, scope, and fastest safe mitigation.

by bregman-arie

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

Automatic

DevOps & SRE pack

decimalai skills pull bregman-arie-triage-gcp-quota-exceeded

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/bregman-arie-triage-gcp-quota-exceeded/SKILL.md

Raw file: /s/bregman-arie-triage-gcp-quota-exceeded/SKILL.md ↗ · machine-readable summary at /s/bregman-arie-triage-gcp-quota-exceeded.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 — +18% lift-31% tokens0% turns100% of whole cases pass with skill (22/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-01	✗→✓	▲ Improved	-15%	0%
case-02	✗→✓	▲ Improved	14%	0%
case-08	✗→✓	▲ Improved	-47%	0%
case-17	✗→✓	▲ Improved	-34%	0%
case-03	✓→✓	＝ Same ✓	35%	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

bregman-arie / devops-sre-skills

skills/gcp/triage-quota-exceeded/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/1/2026Version v1

Skill contents

SKILL.md

When to use

Use when services fail with quota exceeded, RESOURCE_EXHAUSTED, or similar quota limit errors.

Preconditions

You can access the project and identify the failing service and region.

Procedure

Extract the quota name/metric from the error message.
Determine the scope: project, region, zone, or per-user.
Confirm whether this is a spike (traffic/deploy) or a steady-state growth.
Identify the top consumers (which resources or calls drive the quota).
Choose mitigation: reduce usage, shift traffic, or request quota increase.

Decision points

Spike caused by deploy/loop: rollback or hotfix to reduce calls.
Legit growth: request quota increase and add alerting before hitting limits.
Regional quota: spread across regions or rebalance.

Verification

Error rate drops and quota errors stop.
Resource creation/API calls succeed.

Rollback / undo

Revert changes that increased consumption (deploy/config).
If throttling is introduced, remove it after quota is safe.

Escalation

Escalate to service owners if usage is driven by application behavior.
Escalate to cloud owners for quota increase approvals.

Examples

text
Look for the quota metric name in the error, then map it to the service and region.

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