endly-dsunit-batch-validation
Validate Endly batches by use-case IDs across database expectations, asynchronous logs, and aggregate outputs with bounded waits.
Skill by viant
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/viant-endly-dsunit-batch-validation
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About
Use cases: backend
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/endly-dsunit-batch-validation
What's inside
- Skill name
endly-dsunit-batch-validation- Description
- Validate Endly batches by use-case IDs across database expectations, asynchronous logs, and aggregate outputs with bounded waits.
- License
- Apache-2.0
- Instructions
- 34 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
Collect expected outcomes per case while executing the case, carrying a stable TagId/correlation ID and the selected fixture IDs. Append expected records to a batch collection rather than overwriting another case's expectations. Keep payload expectations separate from status-only assertions; a successful request can still produce incorrect persisted rows or logs. Start validator/log:listen and reset its observation buffer before the batch. Configure format, file mask and correlation extraction so records map to the correct use case. After request generation, validate the accumulated expectations with validator/log:assert using bounded LogWaitTimeMs/LogWaitRetryCount. Preserve per-case descriptions and IDs in failures. Avoid turning a long arbitrary sleep into evidence of asynchronous completion; use the harness's retry/readiness checks. For persisted/aggregate outcomes, use dsunit:expect or query with Expect after writes have settled. Inspect the live checkPolicy and matching options before changing them; never weaken a matching policy just to accept unrelated rows. Validate both expected presence and unwanted extras when the contract requires it. Preserve mappings, dictionary prerequisites and per-case hydration throughout. Focused reruns must narrow both executed cases and accumulated expectations; otherwise a batch validator can report errors for cases that were not executed. Use actual discovered TagIDs and inspect assertion counts. Operation status is failed when assertions fail; zero assertions or a skipped case is not a pass. Retrieve operation_events pages filtered to assertion/failure types and inspect only the state paths needed to diagnose the mismatched case. When the listener can fall back to FIFO before a correlation ID is indexed, use a case-specific inclusion rule or queue so it cannot consume an unrelated earlier record. Preserve that rule in a focused run; a longer wait alone does not repair ambiguous matching. Dispatch database checks with endly_dsunit_expect/query/compare and correlated log checks with endly_validator_log_listen/reset/assert. Each action returns an operation; check status and assertion counts before continuing.
From viant/endly, Apache-2.0.
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Signals
- Stars
- 269
- Forks
- 39
- Open issues
- 0
- Last commit (this folder)
- Sep 30, 2026 (27 days ago)
- Last release
- Oct 21, 2026 (6 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/viant/endly
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
endly-dsunit-batch-validation skill. Agent Mart. https://agentmart.dev/skills/viant-endly-dsunit-batch-validation (last updated 2026-10-24)