Ecosystem Update - 2026-06-05

TL;DR

• Current Codex setup already has the main daily community patterns: lifecycle hooks, prompt routing, reviewer/planner agents, progressive skills, conservative profiles, and OpenAI docs MCP.
• Safe Quick Win implemented: failed Bash commands now surface explicit automated-agent access-deny/recuse signals as an authority boundary instead of a generic command failure.
• Codex CLI appears behind the community-tracked v0.137.0 release notes, but auto-upgrade remains a Build Queue item, not a safe ecosystem-update mutation.

Quick Wins

Auto-Implemented

• In-band access-deny / recuse failure context - Added detection for explicit automated-agent access-deny language in failed Bash output. The existing PostToolUse failure-context hook now emits a system message telling Codex not to retry, bypass, or escalate credentials without explicit user direction.
• Evidence: python3 -m unittest discover -s ~/.codex/tests -p 'test_tool_failure_context.py' passed; python3 -m unittest discover -s ~/.codex/tests -p 'test_codex_agentops_contract.py' passed; python3 -m py_compile ~/.codex/bin/tool_failure_context.py ~/.codex/tests/test_tool_failure_context.py passed; config.toml and hooks.json parsed successfully; end-to-end hook-input smoke emitted the new ACCESS-DENY system message.
• Note: full python3 -m unittest discover -s ~/.codex/tests was attempted but stalled after emitting passing dots and was terminated; no failure was observed before termination.

Build Queue

• Codex 0.137.0 upgrade and smoke (Codex-md) - https://github.com/shanraisshan/codex-cli-best-practice - Community notes track Codex CLI v0.137.0 and archive/session lifecycle improvements; local codex --version reports 0.133.0. Queue an explicit upgrade + smoke pass rather than mutating the CLI during the digest.
• Execpolicy rules harness review (hook) - https://github.com/shanraisshan/codex-cli-best-practice - Current setup has ~/.codex/rules/default.rules, but the ecosystem keeps emphasizing deterministic rules and command policy checks. Build a small codex execpolicy check regression pass before expanding global rules.
• Protocol-aligned multi-agent evaluator adapter (agent-pattern) - https://arxiv.org/abs/2606.05670v1 - BenchAgent argues that multi-agent gains should be judged under shared loaders, logging, usage accounting, and answer contracts. This maps to /auto task evals and should be a measured adapter, not new orchestration.
• Microskill boundary compiler spike (skill) - https://arxiv.org/abs/2606.05720v1 - MicroSkill Architecture supports sharper, token-bounded skill capsules. Current skills already use progressive disclosure; queue a local audit/spike for over-broad skills instead of creating new skill infrastructure.

Research

• Will the Agent Recuse Itself? Measuring LLM-Agent Compliance with In-Band Access-Deny Signals - Directly applicable to authority-boundary handling for credentialed agents; one hook-level Quick Win implemented today.
• Do More Agents Help? Controlled and Protocol-Aligned Evaluation of LLM Agent Workflows - Useful for evaluating whether R3/R4 multi-agent dispatch beats a single-agent baseline under equal accounting.
• AdaMEM: Test-Time Adaptive Memory for Language Agents - Relevant to omni-mem retrieval timing and short-term strategy memory, but needs careful trust-boundary design before implementation.
• Microskill Architecture: A Modular Skill-Driven Framework for AI-Native Code Generation - Reinforces current progressive-disclosure skill design and suggests auditing skills for atomicity.
• MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery - Retrospective memory and planner/code-generation separation are relevant to /evolve, but the paper is domain-heavy and not a quick runtime change.

Already Have

PreToolUse Bash safety guard, PostToolUse verification ledger, PostToolUse failure-context hook, UserPromptSubmit route classifier, Stop omni-mem save hook, PreCompact omni-mem hook, SessionStart runtime/context/posture checks, protected main/master push guard, default execpolicy rules file, read-only explorer/planner/reviewer/validator agents, TypeScript and Python reviewer agents, workspace-write worker agent, conservative and conservative-auto-review profiles, OpenAI developer docs MCP with parallel calls enabled, browser/chrome/computer-use plugins, plugin marketplaces, progressive-disclosure skill library, codex-session-search, codex-skill-audit, omni-mem as primary memory system, prompt telemetry disabled.

Rejected

• Auto-upgrade Codex CLI to 0.137.0 during ecosystem-update - unsafe as an automatic daily mutation; requires explicit upgrade/smoke task.
• Enable native Codex memories globally - conflicts with the current omni-mem-first policy and prompt-telemetry/trust posture.
• Enable plugin hooks globally - trust boundary remains unresolved; current config keeps plugin_hooks = false.
• Wholesale install community skill/plugin catalogs - external skills require strict audit before trust; no bulk imports.
• Add PostCompact, PreSkillUse, or PostSkillUse hook wiring immediately - current hook surface and scripts do not prove support for those events; queue/watch only.
• Edit ~/.codex/AGENTS.md, ~/AGENTS.md, or introduce AGENTS.override.md as a Quick Win - constitutional policy docs are explicitly out of Quick Win scope.
• Add auto-format PostToolUse hooks globally - recurring community tip, but broad formatting hooks can mutate unrelated user work and need project-level opt-in.

Sources checked: https://github.com/hesreallyhim/awesome-claude-code, https://howborisusesclaudecode.com/, https://github.com/shanraisshan/codex-cli-best-practice, https://arxiv.org/search/?searchtype=all&query=LLM+agent+coding&order=-announced_date_first, arXiv API submittedDate 2026-06-04..2026-06-05, WebSearch "Codex new hooks agents skills site:github.com 2026", WebSearch "arxiv.org LLM agent coding autonomous 2026 site:arxiv.org" Tier 2 fetched: yes Tier 3 fetched: no - last fetched 2026-05-30T10:34:13Z, still within 7 days Run at: 2026-06-05T06:30:43-04:00