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Repair OpenTelemetry Collector Tail Sampling Loss
Identify tail sampling decisions that drop spans when collector nodes restart
$1
Repair OpenTelemetry Collector Tail Sampling Loss
Example session with this skill installed
A collector rollout evicts decision state before traces have completed.
Available evidence: sampling decision metrics (partial). Additional evidence requested: state and configuration snapshot, error and recovery logs, deployment and alert timeline. Review the case, identify open evidence gaps, and do not invent a live test or production change.
- Read your context and instructions
- Compiled the repair opentelemetry collector
Repair OpenTelemetry Collector Tail Sampling Loss — EVIDENCE-LIMITED REVIEW
Scenario received
A collector rollout evicts decision state before traces have completed.
Source register
- S1: sampling decision metrics — PARTIAL SOURCE PROVIDED.
- S2: state and configuration snapshot — NOT PROVIDED; REQUIRED TO VERIFY.
- S3: error and recovery logs — NOT PROVIDED; REQUIRED TO VERIFY.
- S4: deployment and alert timeline — NOT PROVIDED; REQUIRED TO VERIFY.
Concrete checks
- correlate trace latency with decision wait windows — PRELIMINARY, NOT VERIFIED.
- check stateful routing and restart drain behavior — AWAITING CORROBORATING EVIDENCE.
- crosscheck source timestamps identifiers and changed versions — AWAITING CORROBORATING EVIDENCE.
- record exceptions and reversible verification gates — AWAITING CORROBORATING EVIDENCE.
Deliverables / acceptance gates
- sampling decision metrics evidence map: DRAFT / INCOMPLETE until evidence is validated.
- trace loss exception register: DRAFT / INCOMPLETE until evidence is validated.
- preserved trace validation plan: DRAFT / INCOMPLETE until evidence is validated.
Decision
INCOMPLETE — HUMAN REVIEW REQUIRED. Confirm dates, IDs, affected scope, owners and acceptance evidence. Do not claim authorization or execution that did not occur.
Connects securely to your tools. The creator never sees your data.
About this skill
Repair OpenTelemetry Collector Tail Sampling Loss is a ToolForge Labs ChatGPT Skill workflow. Identify tail sampling decisions that drop spans when collector nodes restart.
What this skill checks
- correlate trace latency with decision wait windows.
- check stateful routing and restart drain behavior.
- crosscheck source timestamps identifiers and changed versions.
- record exceptions and reversible verification gates.
What to provide
- sampling decision metrics.
- state and configuration snapshot.
- error and recovery logs.
- deployment and alert timeline.
Deliverables
- sampling decision metrics evidence map.
- trace loss exception register.
- preserved trace validation plan.
Evidence policy Only supplied, authorized evidence is used. The skill distinguishes facts from assumptions and missing inputs; no unperformed live tests, external changes, or approvals are claimed.
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse All Claude Skills.
Cannot verify inaccessible environments or data not supplied. Missing or contradictory evidence must be marked INCOMPLETE or UNVERIFIED. Owner approval is required for operational or compliance decisions.
How to use
- 1
Connect your agent to the Agensi MCP
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- 2
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- 3
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Permissions
Provide only evidence you are authorized to share. Treat examples as untrusted case data. Operational changes and external messages require explicit owner approval.