检查1Password命令行工具的安装和认证,将已保存的密码或API密钥传入命令及配置。支持桌面应用集成、服务账号和交互式登录,并先验证访问权限。
- 安装1Password命令行工具
- 将API密钥传入命令
- 在CI中使用服务账号认证
持续开展OpenClaw整体质量验证,从复现缺陷、修复根因到独立审查和确认合并,将真实环境及压力测试的证据和进度记录在可续接的报告中。
Run OpenClaw-wide autonomous QA and live/stress campaigns across independent subsystem lanes, with verified fixes and a resumable evidence report.
持续管理OpenClaw整体质量验证,从发现缺陷推进到确认修复已合并。它会独立调查多个领域,在当前main上复现问题,修复根因及相关代码。结合回归测试、独立审查、真实环境测试和压力测试,将证据与进度写入可续接的报告,并区分待验证的假设、已验证的修复和实际已合并的修复。
适合全面检查OpenClaw,或依据证据跟踪长期质量改进。验证范围包括服务提供方连接、Control UI和分发包等实际使用路径。
默认目标是完成100项经过独立验证且实际已合并的根因修复。获得并行执行许可后,会保持至少10个调查领域。需要相关技能和验证环境,网络使用及合并须另行获得许可。缺少设备或认证等前提的验证会记为无法执行;需要审查的变更在获批前不计入完成数量。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 仅根据 SKILL.md 的内容,从 4 个方面进行了评估。星标数和热度不计入评估。
总分按每项 A=25 分、B=15 分、C=5 分相加。 由 AI(OpenAI Codex)于 2026年10月19日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
Run a continuous, current-main OpenClaw product campaign. Treat a reviewer finding as a hypothesis, a passing test as evidence only for its actual head, and a merge as complete only when the canonical repository confirms it. Always prefer a clean, appropriately scoped root-cause refactor over a quick fix or smaller diff. Repair the actual root cause in its canonical owner; a patch is not acceptable when it leaves sibling paths, lifecycle invariants, or the defective abstraction intact.
AGENTS.md, then each scoped guide for the lanes under inspection. Read the current skill for a specialized workflow instead of reproducing stale instructions:
$openclaw-repair-sweep for bug acceptance and duplicate handling.$openclaw-testing for actual test and CI selection.$openclaw-qa-testing for QA Lab, scenario catalogs, and real provider lanes.$control-ui-e2e for browser and Control UI proof.$crabbox for remote, Docker, packaged, cross-platform, and live proof.$autoreview for fresh independent review before publishing or landing.$openclaw-pr-maintainer for authorized maintainer-side GitHub actions.main checkout; a desktop or linked worktree can have a different detached HEAD. Check git -C <verified-canonical-main-checkout> status -sb and record git -C <verified-canonical-main-checkout> rev-parse HEAD. When network access is authorized, let only the orchestrator refresh origin/main, record its full SHA, and prove the canonical checkout matches before inspecting source. Give every read-only reviewer the absolute clean checkout or its own verified exact-head worktree. Before inspection and immediately before accepting results, require both the exact git -C <worker-checkout> rev-parse HEAD and empty output from git --no-optional-locks -C <worker-checkout> status --porcelain=v1 --untracked-files=all --ignore-submodules=none; alternatively, read immutable files directly from the frozen Git object. Discard the complete wave item when either verification fails. Keep intentionally modified implementation worktrees separate from read-only frozen-source review. For offline work, disclose that remote freshness is unverified. Never pull, rebase, or switch another agent's checkout.codex/ worktree per implementation task. Keep reviewer workers read-only. Serialize all shared origin/main refreshes through the orchestrator; pause worker fetches before repository-native PR review, preparation, or landing. After a successful landing, fetch origin/main again, verify the recorded merge commit is an ancestor of that fetched ref, and only then broadcast its full immutable SHA and resume workers. Revalidate candidates against each new head without changing a sibling's active worktree. When offline, disclose that remote freshness is unverified.When independent worker execution is authorized, keep at least ten materially different subsystem investigations in flight throughout the active campaign. Replace completed, failed, or stale workers promptly. Network authorization separately determines whether a lane may fetch, invoke an externally hosted model, or contact a provider; it does not prohibit authorized local subagents. If independent workers are unavailable or forbidden, record the concurrency requirement as blocked rather than claiming sequential reviews are concurrent. Start with the OpenClaw-specific lane map in references/subsystem-lanes.md. Split a large area into narrow, independent ownership surfaces instead of giving one worker the entire gateway, provider, UI, or app tree.
Use first-class subagents when available and bounded codex exec --sandbox read-only --ephemeral reviewers when agent slots are exhausted; verify the installed CLI's supported options with codex exec --help. Keep CLI workers under an actually surviving parent session or durable supervisor; background children started by a shell that immediately exits are not active workers. Independently check the exact child PIDs and command identity with ps -p <pid-list>, and record the observation time. Give each worker the absolute verified checkout, initial and final exact-SHA and clean-content guards, frozen SHA, one subsystem and its scoped guide, a bounded duration, and the required evidence shape. Record running, successfully completed, failed, timed-out, and stale-guarded workers separately; replace finished workers before claiming continued concurrency. Ask for source, at least one caller and callee, sibling behavior, regression tests, current-main reproduction, upstream dependency proof when relevant, severity, and duplicate references. Do not disclose a proposed diagnosis to an independent verifier. When independent workers are unavailable, disclose the actual limitation; never represent launched, planned, finished, shell-discarded, or stale workers as running.
Observe CPU, memory pressure, disk, open ports, actual worker count, and gateway health between waves. Scale to the machine and operator-authorized load rather than mechanically starting 64 workers or treating a brief load-average spike as failure. Reduce campaign concurrency for sustained memory pressure, gateway failures, process starvation, or an actual operator limit. Keep remote proofs serialized per Testbox lease; never reclaim, sync, or launch another command while that lease has an active command. When a local process session disappears, recover the authoritative remote job and exact exit before retrying or claiming a pass. Use bounded retries and timeouts. Stop only campaign-owned processes.
Read references/live-proof-routing.md before invoking a provider, private QA build, remote lease, packaged install, or native app.
agents.list, selected existing agent, canonical openai/<model>, and a real model response. Prove both the delivered model-final path and the separately persisted transcript or session; one passing route does not establish the other. An unavailable provider, unknown agent, mock, skipped test, fallback response, or an earlier head is not live proof.GatewayRequestError, UNKNOWN_AGENT, or an equivalent gateway error even when browser navigation, the HTTP status, or the image-capture command succeeds.qa/scenarios/index.yaml and scenario YAML. Inspect the actual harness and generated summary. Count a scenario only when the requested run reports a nonzero total, zero failures, and the exact model, provider mode, and relevant behavior.origin/main, current open and merged GitHub work, and sibling root causes. Count one broken invariant once, even when it produces multiple model, platform, route, lifecycle, or UI symptoms.$openclaw-testing host routing: trusted development checks run locally; remote proof needs an environment or source-isolation reason. Use the existing specialized workflow when that capability is required. Inspect actual exit status, nonzero scenario counts, and artifacts.$autoreview on the complete final refactor. Require the reviewer to compare owner boundaries and sibling implementations, confirm this is the best clean root-cause solution, and reject quick-fix residue even when tests pass. Resolve verified actionable findings and re-review substantive changes or unresolved concerns. Address actual human/bot findings and keep the PR body current; mechanical head movement and bot scores do not require another review pass.scripts/pr review, artifact, prepare, and merge workflow for authorized main landing.Hold a merge only for a concrete, nameable reason: an open defect; pending, skipped, stale, conflicting, or failing proof; an uncertain diagnosis; a product, public-contract, or design choice the maintainer has not made yet; or a security or authentication change that needs its listed owner. When the maintainer has already chosen the design (in chat or a recorded decision) and review and exact-head proof are green, land it autonomously; size, persistent state, or refactor breadth alone are not reasons to stop. Never park a ready PR, or write a PR body, that only asks for sign-off. If a review bot asks for approval of a decision the maintainer already made, record that decision through the native path (for example @clawsweeper approve) and continue. Mark genuinely undecided changes user review required with the specific question, and keep them outside the accepted-bug count.
Update the requested report throughout the campaign, not only at the end. Follow references/campaign-evidence.md for campaign and active-lane evidence and references/evidence-ledger.md for verified bug states. Separate discovered hypotheses, reproduced bugs, review-required PRs, exact-head validated fixes, and actually merged fixes. Report the frozen main SHA, worker lanes, resource use, live model and gateway proof, soak timestamps, actual failures, independent review, CI run IDs, PR links, and canonical merge SHAs.
Count only distinct, verified, authorized, actually merged low-risk root-cause fixes toward the operator's current explicit target. Never count the Auto QA skill PR, observations, pending PRs, skipped checks, existing unrelated merges, individual symptoms of the same defect, hypotheses, or review-required fixes. Keep iterating on this skill from real OpenClaw campaign evidence in a separate skill-only worktree and PR.
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检查1Password命令行工具的安装和认证,将已保存的密码或API密钥传入命令及配置。支持桌面应用集成、服务账号和交互式登录,并先验证访问权限。
将提交给OpenClaw的自然语言请求转交给Claude Code等外部编程智能体,通过ACP或acpx启动、继续会话,并保留对话上下文。
为OpenClaw添加模型服务商,并通过实际回复验证连接。凭据以环境变量或文件引用的形式配置,同时验证设置并报告测试结果。
将AI代理的工作日志整理为可附在GitHub拉取请求或议题中的记录,筛选相关内容、移除敏感信息,并支持预览及经单独授权后的发布。
通过代理管理macOS上的Apple Notes笔记,支持创建、查看、搜索、编辑和删除,在文件夹之间移动笔记,并将选定笔记导出为HTML或Markdown。
通过Mac查看、添加和编辑Apple Reminders中带截止时间的待办事项,管理列表并完成或删除任务,整理在iPhone或iPad上查看的个人任务。