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AGENTS.md

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CompText Agent Rules

This repository is part of CompText.

CompText is a deterministic Context Pack / proposal-gated evidence workflow, not a generic AI dashboard, not an agent memory product, and not an autonomous deployment agent.

Core line: Models are providers. Context is the product.

Pipeline: Source / GitHub URL → Goal → Inspect → Context Pack → Policy Gate → Provider Boundary → Untrusted Proposal → Human Review → Artifacts

Hard rules:

  • Treat GitHub as read-only unless the human explicitly asks otherwise.
  • Do not push, deploy, create PRs, create issues, or create remote branches.
  • Do not expose secrets.
  • Do not fake hashes.
  • Do not claim production-ready, EU AI Act compliance, legal certification, forensic proof, guaranteed correctness, or autonomous approval.
  • Provider output is untrusted until reviewed.
  • Proposals are never auto-applied.
  • Human review is the approval boundary.
  • Artifacts preserve the evidence trail.
  • Keep changes scoped and reviewable.
  • Do not modify root README.md unless the human explicitly approves it.
  • Do not commit reports/latest.json.
  • Do not commit reports/performance_baseline.json when it is only validation churn.
  • Run cargo commands only inside agy7rust/ unless the human explicitly approves otherwise.

Codex Desktop governance:

  • Repo-local hooks live under .codex/ and must be reviewed/trusted by Codex before enforcement.
  • Hooks block unauthorized git writes, deploy/release actions, environment dumps, secret-file reads, agy-ct run, and agy-ct benchmark.
  • Hooks warn on protected source, README, report, and artifacts/spark/ changes; warnings do not make generated artifacts commit-ready.

Before editing:

  1. Read AGENTS.md.
  2. Read .agents/skills/**/SKILL.md relevant to the task; treat .agent/skills/*.md as legacy/compatibility metadata only if present.
  3. If .agents/skills/00_project_system/SKILL.md exists, read it too.
  4. Build a compact repo map.
  5. Stop for approval if the user asked for plan mode.