Deprecated for GPT-5.6 Sol — do not install or invoke. Native Codex Plan Mode performs read-first repository grounding and evidence collection. The remainder of this document is retained as historical implementation reference.
repo-map-codex creates a durable project map and evidence catalog before planning or execution. It is a companion skill for deep-planning-codex, but it can also be used directly when Codex needs grounded context for an unfamiliar project.
- Selects the project mode:
software-git,software-no-git,business-artifact, ormixed-business-coding. - Explores read-only first with
rg --files,rg, normal file reads, and parallel reads when available. - Writes
.deep-planning/repo-map.mdand.deep-planning/evidence-catalog.md. - Separates discovered facts from unknowns that require user or stakeholder input.
- Captures validation surfaces, dependencies, generated artifacts, and risk areas.
This folder is a Codex-native derivative of:
- Source gist:
https://gist.github.com/dachent/cdc05151d047708c290bd4da0aaeed96 - Source file:
deep_planning.txt - Source revision:
6ea4c02e5aa60c9991e1e4d1c50089c01cd6ec83 - Source phases adapted: Phase 1 cataloging and Phase 2a evidence review
- Source type: user-authored Claude-native deep planning prompt template
- Port depth: new Codex-native companion skill
The source gist describes a Claude phase that catalogs relevant files, logs, code, inputs, outputs, and dependencies. The Codex version turns that phase into an invokable skill with explicit mode references and a narrow write scope.
The conversion is Codex-native because it does not depend on Claude slash commands, Claude model routing, or implicit handoff behavior. It uses Codex file-search conventions, optional parallel reads, and durable .deep-planning/ artifacts instead.
SKILL.md: active Codex skill instructions.agents/openai.yaml: Codex app display metadata and default prompt.references/: mode-specific mapping guidance.
Validation before publication covered metadata checks, static forbidden-token scans, and live subagent forward testing on a mixed business-coding fixture. The live run selected the correct mode and wrote only the expected map and evidence artifacts.