Ecosystem Update — 2026-05-11
TL;DR
- Two safe hook Quick Wins were implemented: the existing Bash pre-tool guard is now active, and existing PostToolUse helpers now record verification commands and surface failed Bash output.
- Today's useful external signal is still governance and verification, not more orchestration: Codex hooks, exec policies, design conformance checks, and formal coordination verification are the recurring patterns.
- The current harness already has most high-value primitives: GPT-5.5, live web search, hooks, omni-mem lifecycle hooks, read-only reviewer agents, plugin support, OpenAI docs MCP, and parallel-safe docs MCP calls.
Quick Wins
| Item | Source | Type | Impact | Effort | Action |
|---|---|---|---|---|---|
| Existing PreToolUse Bash catastrophe guard | https://developers.openai.com/codex/hooks#pretooluse, https://github.com/shanraisshan/codex-cli-best-practice/blob/main/best-practice/codex-hooks.md, https://agenticcontrolplane.com/blog/codex-cli-hooks-reference | hook | 3 | 1 | Auto-implemented PreToolUse wiring for existing /Users/chadsimon/.codex/bin/pre_tool_guard.py |
| Existing PostToolUse verification ledger and failure context | https://developers.openai.com/codex/hooks#config-shape, https://github.com/shanraisshan/codex-cli-best-practice/blob/main/best-practice/codex-hooks.md | hook | 2 | 1 | Auto-implemented PostToolUse wiring for existing /Users/chadsimon/.codex/bin/edit_verify_async.py and /Users/chadsimon/.codex/bin/tool_failure_context.py |
Auto-Implemented
- Backed up
config.toml,hooks.json, and all agent TOMLs to/Users/chadsimon/.codex/backups/2026-05-11/before editing. - Updated
/Users/chadsimon/.codex/hooks.jsonwith a BashPreToolUsehook that runs the existing catastrophic-command guard. - Updated
/Users/chadsimon/.codex/hooks.jsonwith BashPostToolUsehooks that record verification commands and surface concise failure context. - Verified
hooks.jsonparses withpython3 -m json.tool. - Verified
config.tomland all/Users/chadsimon/.codex/agents/*.tomlparse with Pythontomllib. - Smoke-tested
pre_tool_guard.py: benign Bash input exits0;git reset --hardexits2with the block reason. - Smoke-tested
edit_verify_async.pyandtool_failure_context.pywith representative PostToolUse payloads.
Build Queue
- Execpolicy rules profile for destructive shell prefixes (hook) — https://github.com/shanraisshan/codex-cli-best-practice/blob/main/README.md and https://developers.openai.com/codex/config-reference — Codex now supports command execution policies and named permission profiles. The harness has a Python pre-tool guard, but no Starlark rules layer; build only if the current guard misses real recurring shell-risk cases.
- Stop-time completion gate hook wiring (hook) — local existing scripts plus https://developers.openai.com/codex/hooks#config-shape —
/Users/chadsimon/.codex/bin/completion_gate.py,what_would_chad_do.py, andcodex_review_gate.pyexist, but wiring them as global Stop hooks can run tests or reviews on every turn. This needs an explicit runtime decision rather than a daily Quick Win. - Design conformance trace check (research) — https://arxiv.org/abs/2605.07909 — The OpenTelemetry trace-conformance idea maps to the existing OTEL config and could become a bounded eval for long-running harness behavior drifting from design contracts.
- TraceFix-style protocol verifier (research) — https://arxiv.org/abs/2605.07935 — TLA+-checked coordination protocols are interesting for governed multi-agent packets, but this is too heavy for the current harness without a narrow failure case.
Research
- TraceFix: Repairing Agent Coordination Protocols with TLA+ Counterexamples — Relevant to formalizing multi-agent packet topology before execution, especially for R3/R4 governed work.
- Evaluating Design Conformance Through Trace Comparison — Useful for checking runtime traces against intended design behavior using the OTEL surface already configured locally.
- Retrieval-Conditioned Topology Selection with Provable Budget Conservation for Multi-Agent Code Generation — Reinforces the local direction of repo-context preflight before choosing orchestration depth, but implementation would require a benchmark.
- Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems — Relevant to future route-manifest tuning, not an immediate harness change.
- To What Extent Does Agent-generated Code Require Maintenance? An Empirical Study — Supports maintainability scoring in
evaluate/refactor, already queued from the prior run.
Already Have
Codex-owned AGENTS.md contract, model = "gpt-5.5", review_model = "gpt-5.4", approval_policy = "never", sandbox_mode = "danger-full-access", prompt telemetry off, web_search = "live", codex_hooks = true, goals = true, plugin support, OpenAI developer docs MCP, supports_parallel_tool_calls = true for the docs MCP, omni-mem MCP and lifecycle hooks, SessionStart cached repo-context hook, Stop omni-mem save hook, PreCompact omni-mem hook, read-only explorer/planner/reviewer/validator agents, Python and TypeScript reviewer agents, workspace-write worker and chad-twin agents, agent concurrency caps, official/bundled plugin marketplaces, Browser/Gmail/Documents/Presentations/Spreadsheets plugins, skill-audit, session-recall, auto, drive, govern, planning-gate, rlm-scan, memory-adaptation, current hooks.json backup discipline, and prior ecosystem state dedupe.
Rejected
- Wholesale import from awesome-claude-code — rejected: the source is still in an index rebuild/TODO state, and the Codex contract requires copying or rewriting useful Claude behavior into Codex-owned surfaces.
- Native Codex memories as an immediate replacement — rejected: current policy makes omni-mem the default memory workflow; native memories need an explicit pilot, not a silent switch.
- Upgrade to 0.131 alpha releases — rejected: latest visible 0.131 tags are alpha/pre-release builds. Keep this as a release-watch item, not a Quick Win.
- Global Stop-time test/review hooks as a Quick Win — rejected: useful scripts exist, but automatic tests/reviews on every stop are too operationally heavy for a daily safe update.
- Deploying the website — rejected per user instruction; the wrapper will render and deploy after this run finishes.
Sources checked: https://github.com/hesreallyhim/awesome-claude-code, https://howborisusesclaudecode.com/, https://github.com/shanraisshan/codex-cli-best-practice, https://github.com/shanraisshan/codex-cli-best-practice/blob/main/best-practice/codex-hooks.md, https://github.com/shanraisshan/codex-cli-best-practice/blob/main/best-practice/codex-config.md, https://github.com/shanraisshan/codex-cli-best-practice/blob/main/best-practice/codex-subagents.md, https://github.com/shanraisshan/codex-cli-best-practice/blob/main/best-practice/codex-mcp.md, https://developers.openai.com/codex/hooks, https://developers.openai.com/codex/config-reference, https://github.com/openai/codex/releases, https://agenticcontrolplane.com/blog/codex-cli-hooks-reference, https://arxiv.org/search/?searchtype=all&query=LLM+agent+coding&order=-announced_date_first, arXiv API query for LLM/coding/multi-agent agent papers, web search: "Codex new hooks agents skills site:github.com 2026" Tier 2 fetched: yes Tier 3 fetched: no - skipped because the last Tier 3 run was 2026-05-08T15:37:21Z, inside the 7-day window omni-mem: available; run summary saved Run at: 2026-05-11T10:33:06Z