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qa-skills

Full QA engineering skill framework and bundle for AI agents, featuring 12 testing skills and a shared core knowledge base.

Developer ToolsSecurity & PolicySkills & Workflows
44GitHub Stars8ForksUpdated2026-10-10

Install

$ dsh plugin --profile web add dsh-qa-skills

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded
qa-skills (dsh-qa-skills) is a comprehensive QA engineering framework bundled as a DeepSeek Harness plugin. It equips AI agents with 12 structured testing skills—ranging from requirement analysis, risk mapping, and test case design to Playwright/pytest automation and bug root-cause analysis—backed by a shared knowledge base and a 10-axis test type decision matrix.

Key Capabilities

  • Full-lifecycle QA pipeline orchestration with human approval checkpoints
  • Evidence-based risk mapping and 10-axis testing type decision matrix
  • Dual-track test case writing producing both visual Markmap and machine-executable Schema YAML
  • Independent test case review and coverage denominator validation
  • Automated E2E (Playwright) and API (pytest/k6) script generation following Page Object patterns
  • Charter-driven exploratory testing, regression diff analysis, and root-cause bug diagnosis
  • Cross-session project QA memory (.qa/) with strict schema and security validation

Useful For

  • Transforming product requirement documents (PRD) and repository code into executable test plans and test cases
  • Converting existing manual test specifications into production-ready Playwright or pytest test suites
  • Automating risk assessment, bug triage, and regression scope analysis on Git pull requests
  • Standardizing team-wide QA criteria and test documentation across AI agent workflows

Who It Fits

  • QA engineers and SDETs automating testing workflows with DeepSeek Harness
  • Software engineering teams wanting robust, executable test cases from AI agents
  • DevOps and CI/CD engineers integrating agentic quality gates into delivery pipelines

Documented Limitations

  • Does not cover unit/integration testing, mobile device automation, or frontend component testing
  • Excludes live penetration testing, specialized SAST tooling, and chaos engineering suites
  • Higher token usage (approx. 3.3x) compared to unguided agent generation due to structured multi-layer instructions
  • Requires the bundled core knowledge base directory alongside skills to resolve relative references

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 0 runtime, 0 development, 0 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

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License Declared

GitHub reports the repository license as MIT.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
fishzjp/qa-skills
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin Bundle
Source checked
ff6957f · 2026-10-14

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
44GitHub stars
Forks
8
Open issues
3
Last commit
2026-10-10
Last release
2026-09-20
For maintainers

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