Ecosystem Update - 2026-06-11

TL;DR

• One safe harness Quick Win landed: default.rules now blocks short-form git push -f, matching the existing pre_tool_guard.py force-push protection.
• Today's community sources mostly reinforce the existing setup: progressive-disclosure skills, rules-backed permissions, verification loops, read-only reviewers, planning gates, and conservative rejection of broad auto-upgrades.
• Today's research feed is useful for future auto and omni-mem work: self-gated clarification, disaggregated evidence audits, hierarchical memory navigation, skill-organization evals, and branch-and-return search control.

Quick Wins

Auto-Implemented

• Backed up config.toml, hooks.json, all agent TOMLs, and rules/default.rules to /Users/chadsimon/.codex/backups/2026-06-11/.
• Updated /Users/chadsimon/.codex/rules/default.rules with a forbidden exact-prefix rule for git push -f.
• Verified required rule presence with a direct file check.
• Verified execpolicy behavior: git push --force origin feature and git push -f origin feature resolve to forbidden; git push origin feature remains unmatched.
• Verified hooks.json with python3 -m json.tool and config.toml with tomllib.
• Ran python3 /Users/chadsimon/.codex/bin/codex_config_posture.py --mode warn; result: Codex config posture ok.

Build Queue

• Codex 0.137+ upgrade and smoke (Codex-md) - https://github.com/shanraisshan/codex-cli-best-practice - Local codex --version is still codex-cli 0.133.0, while the best-practice repo references 0.137.0 session archive/history behavior. Verify against official OpenAI release notes before upgrading; do not auto-upgrade from this daily skill.
• Self-gated clarification adapter for R5 routing (agent-pattern) - https://arxiv.org/abs/2606.11349 - ACTION-RATING's "ask vs act" framing maps to Codex's R5 ambiguity boundary. Add as an eval/design pass for classify_prompt.py or auto_runtime.py, not as a prompt-only policy tweak.
• Disaggregated evidence audit for accepted slices (agent-pattern) - https://arxiv.org/abs/2606.11522 - Search Discipline shows aggregate scores can hide local failure. Adapt this into auto closure checks that require per-slice evidence, not just a terminal pass/fail summary.
• SkillJuror-style skill organization eval (skill) - https://arxiv.org/abs/2606.11543 - The local skill library already uses progressive disclosure, but there is no regression eval proving which skills are too flat, too deep, or poorly routed.
• HORMA-style hierarchical memory navigation spike (mcp) - https://arxiv.org/abs/2606.11680 - omni-mem already separates context construction from durable memory; a bounded spike could test hierarchy-first retrieval against today's hybrid search packs.
• TreeSeeker branch-and-return research mode (skill) - https://arxiv.org/abs/2606.11662 - Useful for deep research or ecosystem scans where branches need explicit evidence, uncertainty, conflicts, and pruning state. Build as a scoped research skill, not a global agent loop.
• Infrastructure-aware orchestration budget policy (agent-pattern) - https://arxiv.org/abs/2606.11440 - INFRAMIND supports simpler topologies under load and richer ones when capacity is available. This belongs in route budgeting or local-worker dispatch after telemetry exists.
• Claim-level verification harness for numerical/tabular tasks (skill) - https://arxiv.org/abs/2606.11537 - MOCA-Agent's atomic claim verification maps well to spreadsheet, finance, and proof-heavy tasks. Build only as a domain-specific checker.

Research

• Knowing When to Ask: Self-Gated Clarification for Hierarchical Language Agents - Strong fit for R5 detection: make clarification an explicit action competing with execution.
• INFRAMIND: Infrastructure-Aware Multi-Agent Orchestration - Relevant to future local/remote worker routing and budget-aware agent topology.
• Search Discipline for Long-Horizon Research Agents - Reinforces evidence-by-slice closure and external audits over single aggregate success scores.
• MoCA-Agent: A Market-of-Claims Code Agent for Financial and Numerical Reasoning - Useful pattern for claim-level verification before executable synthesis in high-stakes numerical work.
• SkillJuror: Measuring How Agent Skill Organization Changes Runtime Behavior - Directly applicable to local skill quality: progressive disclosure changes runtime behavior and should be evaluated, not assumed.
• TreeSeeker: Tree-Structured Trial, Error, and Return in Deep Search - Candidate control pattern for disciplined branch-and-return research sessions.
• Organize then Retrieve: Hierarchical Memory Navigation for Efficient Agents - Useful comparison point for omni-mem retrieval packs and long-horizon context pruning.
• Defeater Cards: Characterizing and Managing Safety Assurance Case Defeaters - Good artifact pattern for surfacing hidden assumptions and reasoning gaps in planning-gate reviews.

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 checks for startup/resume/clear/compact, features.hooks = true, prompt telemetry disabled, plugin hooks disabled by default, native Codex memories disabled in favor of omni-mem, OpenAI developer docs MCP with parallel calls enabled, Browser/Chrome/Computer Use plugins, OpenAI Developers plugin, app destructive actions disabled by default, read-only explorer/planner/reviewer/validator agents, feature-specific Python and TypeScript reviewers, bounded max_threads, max_depth, and runtime caps, conservative profiles, AGENTS.md as the Codex-owned project-doc fallback, session search via codex-session-search, skill-audit workflow, large local skill library, default.rules command policy, force-push/hard-reset/destructive-checkout/destructive-clean guards, config posture validation, AgentOps contract checker, and progressive-disclosure skill roots.

Rejected

• Auto-upgrade Codex CLI from the ecosystem run - version drift remains real, but upgrades require official release verification and smoke testing outside the safe Quick Win lane.
• Enable nested agents beyond current max_depth = 1 because Boris references depth 5 - this is an autonomy-risk and cost-control decision, not a one-line daily harness fix.
• Add fork: true skill frontmatter across local skills - experimental cross-agent pattern; skill bodies must not be rewritten by this Quick Win workflow.
• Trigger dynamic workflows from the phrase "use a workflow" - useful product pattern, but current Codex policy makes /auto the canonical autonomous runtime and avoids broad keyword routing without an eval.
• Retire planning/alignment in favor of context minimalism or always-on auto mode - conflicts with this machine's non-trivial-work alignment and AgentOps contract.
• Enable plugin hooks globally - still a trust-boundary decision; current features.plugin_hooks = false remains the safer default.
• Enable native Codex memories globally - conflicts with the omni-mem-first memory policy and current prompt-telemetry posture.
• Wholesale install from community skill/plugin catalogs - outside skills/plugins require strict audit and Codex-owned adaptation.
• Add global auto-format, browser-QA, or visual-QA hooks - useful per project, but too broad as a machine-wide hook because repo stacks vary.
• Edit AGENTS.md as a Quick Win - constitutional policy docs require explicit user direction.
• Adopt Fable 5 / Claude-specific model guidance - informative for cross-agent awareness, but not applicable to the local Codex model configuration.

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, https://arxiv.org/list/cs.AI/new, https://arxiv.org/list/cs.SE/new, https://arxiv.org/list/cs.MA/recent, WebSearch "Codex new hooks agents skills site:github.com 2026", WebSearch "arxiv.org LLM agent coding autonomous 2026 site:arxiv.org", OpenAI developer docs MCP config reference search Tier 2 fetched: yes Tier 3 fetched: no - skipped by weekly gate because tier3_last_run was 2026-06-07T06:36:00-04:00 Run at: 2026-06-11T06:34:24-04:00