Review sub-agent outputs against acceptance criteria and quality standards.
npx skills add https://github.com/danhannah94/claymore-plugins --skill csdlc-review
Please help me install this Agent Skill. Skill: csdlc-review Source: https://github.com/danhannah94/claymore-plugins/tree/main/csdlc/skills/csdlc-review Command: npx skills add https://github.com/danhannah94/claymore-plugins --skill csdlc-review
Sub-agent outputs in complex CSDLC workflows often require a consistent, formal review before human stakeholders act. This skill provides an AI Lead-style evaluation against acceptance criteria and quality standards to guard against scope creep and quality gaps.
Initiate an AI Lead review on the given sub-agent output and generate a structured verdict using the built-in checklist.
High-intent search queries and answers about installing and using this skill.
You can automate PR review by running an AI Lead evaluation that checks sub-agent outputs against scope, quality, verification, and acceptance criteria. It generates a structured pass/fail report with evidence and suggested improvements.
An AI Lead review in the CSDLC workflow is a formal evaluation of sub-agent outputs against acceptance criteria and quality standards. It guards against scope creep and quality gaps before human stakeholders act.
You validate Foundry annotations by applying a structured checklist to design artifacts and implementation stories. The review captures pass/fail verdicts with explicit evidence and writes a Foundry annotation back to facilitate human handoffs.
Yes, you can use this AI review for pull requests. It enforces scope, quality, verification, and acceptance criteria checks on PRs, generating a structured report to guard against scope creep and quality gaps.
Yes, this automated QA review works without external dependencies. It operates independently to perform formal scope, quality, verification, and acceptance criteria evaluations on sub-agent outputs.
The best way to generate structured verdicts is performing an AI Lead review that captures pass/fail status with explicit evidence and suggested improvements. It creates a Foundry annotation on the story or doc to facilitate async human review.
EONMUNReview DeepWork job.yml specifications against nine quality criteria.
danhannah94Verify acceptance criteria and post QA annotations to Foundry.
danhannah94Generate a deterministic Claude Code execution prompt from a refined CSDLC ticket.
cbgbtEvaluate code changes against requirements and constraints to produce ACCEPT or VIOLATIONS reports.
