codex/skills/codex-upcoming-features/SKILL.md
Fetch and summarize upcoming unreleased Codex features using a durable local clone synced from GitHub, with source-file mining as primary evidence. Use when asked for latest upcoming/openai-codex features, what is coming next but not in the latest stable release, or a live release-gap summary with links and as-of timestamp.
npx skillsauth add tkersey/dotfiles codex-upcoming-featuresInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Sync a durable local clone of openai/codex and produce an exhaustive summary of unreleased features and notable improvements since the latest stable (non-prerelease) release tag.
Primary evidence comes from source files that define feature stages and user-facing metadata. Commit/PR analysis is secondary supporting context.
gh auth status and fail closed if GitHub CLI is not authenticated.$CODEX_HOME/repos/<owner>-<repo> (fallback: ~/.codex/repos/<owner>-<repo>)--local-repo <path>https://github.com/<owner>/<repo>.git.git fetch --tags --prune origin, checkout default branch, git pull --ff-only).codex-rs/features/src/lib.rs with legacy fallback codex-rs/core/src/features.rs; if neither exists, search for the unique registry file containing pub const FEATURES plus stage markers and fail closed if resolution is ambiguouscodex-rs/tui/src/chatwidget.rscodex-rs/core/src/codex.rscodex-rs/app-server/src/codex_message_processor.rscodex-rs/app-server-protocol/src/protocol/v2.rscodex-rs/app-server-protocol/schema/json/v2/ExperimentalFeatureListResponse.jsoncodex-rs/app-server/README.mdcodex-rs/tui/src/tooltips.rsannouncement_tip.tomlStage::Experimental (beta/user-facing now)Stage::UnderDevelopment (upcoming but not broadly ready)name, menu_description, and announcement where availablegit rev-parse HEAD) and include it in output.stable_tag..origin/default_branch.featurenotable_improvementRun markdown summary (default):
uv run python scripts/summarize_upcoming.py --repo openai/codex
Run JSON output:
uv run python scripts/summarize_upcoming.py --repo openai/codex --output json
Override baseline tag if needed:
uv run python scripts/summarize_upcoming.py --repo openai/codex --base-tag rust-v0.106.0
Override durable local clone path:
uv run python scripts/summarize_upcoming.py --repo openai/codex --local-repo ~/workspace/cache/openai-codex
Always include:
As of (UTC) timestampStable baseline tagbeta + underDevelopment)When there is a conflict between source-derived feature data and commit text, source-derived data wins.
JSON mode returns:
as_of_utcrepolocal_repoanalyzed_commit_shastable_tagcompare_urlsource_files_mined[]source_primary.beta_features[] and source_primary.under_development_features[]source_primary.supporting_evidence (structured extraction for every required source file)items[] with kind, title, commit_sha, commit_url, pr_number, pr_url (secondary)Read references/classification-rules.md before changing filtering behavior. Keep inclusion deterministic and biased toward user-visible changes.
owner/repo.testing
Use before local patching when bugs, regressions, malformed state, crashes, parser failures, migrations, cache drift, protocol problems, compatibility requests, tolerant readers, fallbacks, coercions, retries, catch-and-continue logic, or local workarounds may broaden accepted invalid state.
testing
Use for bug reports, PR/issue prose, reviewer comments, user diagnoses, generated summaries, memories, retrieved context, public tracker context, claimed root causes, proposed fixes, fake-minimal repro risk, or any investigation where natural-language context could anchor the implementation scope.
development
Use when non-trivial work needs Challenge Escalation, latent-intelligence activation, frame-market selection, doctrine operators, dominant-move selection, ablation/surface-tax judgment, reification, review comment law, negative capability, route receipts, or proof-bearing refusal to mutate.
development
Apply Algebra-Driven Design. Use for ADD, denotational design, combinator models, law-driven architecture, domain algebra, property tests, codebase modeling, event sourcing, workflow design, or agentic skill design. If the canonical bundle is unavailable, use this wrapper as the minimal ADD kernel and report the missing bundle path.