agentleFS
mick-gskmick-gsk/drift/.github/AGENTS.md

drift

AGENTS.md14 starsChanged 7 months agoMITView on GitHub

Agents, Skills und Evaluation-Prompts im Drift-Workspace

The file

Files
AGENTS.md

Drift Agents & Prompts

Release Agent

Quick Release — Nach Code-Änderungen an src/drift/ den vollständigen Release-Workflow ausführen.

Verwendung

Im Chat erwähnen: „Release version", „Create release", „Publish to PyPI".

Der Agent: Validiert → Version berechnet → CHANGELOG + pyproject.toml → Commit + Tag → Push → PyPI.

Hinweis: Releases werden automatisch via python-semantic-release in CI verwaltet. Lokaler Fallback nur bei CI-Ausfall: python scripts/release_automation.py --full-release

Wann verwenden

  • Nach feat:, fix: oder BREAKING:-Commits auf src/drift/
  • Wenn Tests bestehen und Code committed ist
  • Nicht bei unfertiger Arbeit oder fehlschlagenden Tests

Evaluation-Prompts

Prompts unter .github/prompts/ evaluieren die Drift-CLI aus verschiedenen Perspektiven. Navigations-Guide: .github/prompts/README.md

PromptZweckEmpfohlene Reihenfolge
drift-onboardingFirst-Use-Erfahrung (Zero-Knowledge)1
drift-agent-workflow-testVollständiger CLI-Pfadtest2
drift-signal-qualitySignal-Precision/Recall messen3
drift-ci-gateCI-Integration validieren4
drift-ai-integrationLLM-Context-Qualität bewerten5
drift-agent-uxAgent-UX-Audit (Auffindbarkeit, Latenz, Fehler)6
PR-OrchestratorPR-Bewertung aus Agent-Perspektivenach Bedarf
releaseRelease-Workflow validierennach Bedarf

Shared Components

DateiZweck
_partials/bewertungs-taxonomie.mdEinheitliche Bewertungs-Labels
_partials/konventionen.mdGemeinsame Konventionen (Policy Gate, Pfade, Sandbox)
_partials/issue-filing.mdIssue-Filing-Template (interne Prompts)
_partials/issue-filing-external.mdIssue-Filing-Template (Field-Tests, Cross-Repo)

Field-Test-Prompts (externe Repos)

Prompts unter .github/prompts/field-tests/ testen drift in beliebigen Repositories. Issues gehen an mick-gsk/drift. Details: .github/prompts/field-tests/README.md

PromptZweckEmpfohlene Reihenfolge
drift-field-testSmoke-Test: Funktioniert drift?1
drift-finding-auditTiefenprüfung: Findings korrekt?2
drift-context-evalKontext-Qualität für AI-Workflows3

Skills

  • drift-agent-prompt-authoring — Drift-Prompts unter .github/prompts/ und field-tests/ strukturiert schreiben oder verbessern
  • drift-release — Vollständiger Release-Workflow
  • drift-pr-review — PR-Review gemäß Drift Policy
  • drift-security-triage — Security-Report-Triage

Dokumentation

  • Release Skill: .github/skills/drift-release/SKILL.md
  • Release Instructions: .github/instructions/drift-release-automation.instructions.md
  • Policy: .github/instructions/drift-policy.instructions.md
  • Push Gates: .github/instructions/drift-push-gates.instructions.md

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.