Ecosystem Update - 2026-06-25

June 25, 2026 · generated by the ecosystem-update Claude Skill

TL;DR

No safe harness Quick Win was auto-applied today; every high-signal hook/config idea needed a new script, touched policy, or broadened the trust surface.
Current Codex setup already has the strong baseline: live web, OpenAI docs MCP, omni-mem, bounded specialist agents, Bash guardrails, verification/failure hooks, route classification, stop/precompact memory gates, strict skill audit, and prompt telemetry off.
Today's useful signal is research and backlog shaping: AI-SDLC protocol boundaries, context-drift checks, negative-knowledge memory, and role-aware cost/frontier evaluation map to the harness, but not as one-line mutations.

Quick Wins

Item	Source	Type	Impact	Effort	Action
None admitted by safety gate	Current setup vs. 2026-06-25 crawl	hook/agent-pattern/skill	-	-	No harness mutation without an existing compatible target script, policy approval, and verification path.

Auto-Implemented

None. Report and ecosystem state files only; no website deployment was performed.

Build Queue

AI-SDLC protocol boundary conformance eval (research) - https://arxiv.org/abs/2606.20615 - Compare the local AgentOps task envelope, allowed/prohibited actions, evidence refs, and validation gates against the paper's human-agent boundary invariants; do not import a DSL.
Context-drift synchronization check for subagent handoffs (research) - https://arxiv.org/abs/2606.21666 - Build a small eval for stale or divergent shared state before multi-agent planning/review handoffs, reusing existing planning-gate and contract-check primitives.
Negative-knowledge memory adoption eval (research) - https://arxiv.org/abs/2606.21024 - Test whether failed-attempt records in omni-mem are explicitly adopted or rejected during retries; useful for /auto replanning evidence, not a new memory layer.
Role-cost frontier profile evaluation (agent-pattern) - https://arxiv.org/abs/2606.20629 - Evaluate planner/worker/reviewer/validator model assignments and deployment choices against cost/quality, using current agent TOMLs and max-thread limits.
Agent-model anti-overengineering note (research) - https://arxiv.org/abs/2606.23991 - Use the agentic-vs-agentive distinction as a review lens: the local runtime is intentionally engineered scaffolding, so do not chase endogenous-agent architecture without a measurable need.

Research

Specifying AI-SDLC Processes: A Protocol Language for Human-Agent Boundaries - Revised on 2026-06-24; relevant to AgentOps envelopes, approval boundaries, and structural validation.
Hallucination as Context Drift: Synchronization Protocols for Multi-Agent LLM Systems - Frames multi-agent failures as stale-state divergence, matching local concerns around subagent handoffs and resumed work.
Negative Knowledge as Failure-aware Shared Memory for AutoResearch - Useful for turning failed /auto attempts into explicit retry inputs in omni-mem.
Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams - Supports measuring role-specific model choices instead of assuming homogeneous agent profiles.
Critique of Agent Model - Helpful philosophical boundary for rejecting new autonomy layers when existing workflow scaffolding is sufficient.

Already Have

Concise Codex-owned AGENTS contract, schema-linked config.toml, model = "gpt-5.5", review_model = "gpt-5.4", PATH codex-cli 0.142.1, app codex-cli 0.142.0, approval_policy = "never", sandbox_mode = "danger-full-access", live web search, OpenAI developer docs MCP, omni-mem MCP, node REPL MCP, Wren MCP, Browser/Chrome/Computer Use/OpenAI Developers/Documents/Spreadsheets/Presentations/Gmail/PDF plugins, destructive app actions disabled, features.hooks = true, features.plugins = true, features.goals = true, features.prevent_idle_sleep = true, features.plugin_hooks = false, features.memories = false, Bash PreToolUse safety guard, Bash PostToolUse verification ledger, Bash failure-context hook, UserPromptSubmit route classifier, SessionStart startup/resume/clear/compact runtime checks, Stop omni-mem save and completion evidence gates, PreCompact omni-mem capture hook, read-only explorer/planner/reviewer/python-reviewer/typescript-reviewer/validator agents, scoped worker and chad-twin agents, agents.max_depth = 1, agents.max_threads = 3, conservative and conservative-auto-review profiles, disabled placeholder pokegen skill, codex-session-search, codex-skill-audit, planning-gate, /auto, drive, go, codex-security, security-audit, what-would-chad-do, codex-runtime-doctor, strict outside-skill audit rule, and existing prior backlog coverage for PostCompact/subagent hook parity, external skill catalog triage, native memories rejection, and plugin hook trust review.

Rejected

Auto-wire PermissionRequest approval hooks from Boris-style workflows - rejected as a Quick Win because approval automation is R4-risk and no existing compatible target script was present.
Wire PostCompact, SubagentStart, or SubagentStop immediately - rejected because official docs show support, but local hook scripts do not yet implement the corresponding behavior.
Widen PostToolUse matchers to apply_patch, Edit, or Write - rejected because current verification/failure scripts are Bash-specific.
Enable native Codex memories - rejected because omni-mem is the active memory plane and duplicate memory systems create drift/privacy risk.
Enable plugin_hooks or destructive app actions globally - rejected because it expands the hook/app trust surface without a concrete recurring need.
Install external skill catalogs wholesale - rejected because outside skills require codex-skill-audit --strict and a domain-specific need.
Default all subagents to worktree isolation or increase nesting depth - rejected because the current max_depth = 1 bounded-agent posture is intentional; this needs a scoped eval first.
Adopt dynamic workflow/orchestrator catalogs wholesale - rejected as overengineering; existing /auto, planning-gate, Wren, and local skills already cover the control plane.
Auto-upgrade or synchronize PATH/app Codex CLI versions - rejected because toolchain mutation is not a safe Quick Win for this skill run.
Edit AGENTS.md policy docs as a Quick Win - rejected by the skill hard limit; constitutional policy changes require explicit direction.

Sources checked: https://github.com/hesreallyhim/awesome-claude-code, https://howborisusesclaudecode.com/, https://github.com/shanraisshan/codex-cli-best-practice, web search: "Codex" new hooks agents skills site:github.com 2026, web search: arxiv.org LLM agent coding autonomous 2026 site:arxiv.org, https://arxiv.org/search/?searchtype=all&query=LLM+agent+coding&order=-announced_date_first, https://arxiv.org/list/cs.MA/recent, https://arxiv.org/abs/2606.20615, https://arxiv.org/abs/2606.21666, https://arxiv.org/abs/2606.21024, https://arxiv.org/abs/2606.20629, https://arxiv.org/abs/2606.23991, OpenAI docs MCP: https://developers.openai.com/codex/hooks#matcher-patterns Tier 2 fetched: yes - user requested today's crawl; prior run was 2026-06-24T06:33:31-04:00 and this run started 2026-06-25T06:31:04-04:00, just inside the 24-hour skip window. The cs.MA recent page reported no Thu, 25 Jun 2026 updates. Tier 3 fetched: partial - official hook docs were consulted to classify hook candidates; weekly GitHub release/toolkit sources were otherwise skipped because tier3_last_run is 2026-06-21T06:34:03-04:00. Run at: 2026-06-25T06:33:32-04:00