为Paperclip新增或扩展贯穿真实浏览器、服务器、数据库和runner的端到端评估,整理测试数据、判定条件与证据,并在现有报告中查看操作结果。
- 新增完整用户操作流程的评估
- 更新测试数据与判定条件
- 在评估报告中加入截图和产物
按目的选择Paperclip的Runner评估或完整产品端到端评估,结合证据、执行记录、费用及失败分类进行验证、结果解读和报告。
Choose, inspect, validate, and report Paperclip Runner or Product E2E evaluations while preserving evidence, provenance, cost, and failure classification.
根据目的选择Paperclip评估,检查定义、执行验证、解读结果并报告。Runner Evals检查Runner对模拟控制服务的行为;Product E2E Evals检查贯穿浏览器、服务器、数据库等组件的完整产品流程。结果附带源码版本、执行目标、模型、环境、重试、耗时、费用和判定程序版本,也保留未完成的尝试。
适合不确定应选哪类评估,或需要根据证据分析失败原因时使用。区分产品问题、模型或提供商行为、判定或证据问题,以及执行基础设施问题。可在没有认证信息时查看评估列表,也可利用已保存证据更新报告展示,无需再次调用提供商。
需要检出Paperclip;若需Runner定义,还要参照私有的paperclip-evals。实际或付费运行须获得明确许可并具备所需认证信息,Daytona还需要固定的镜像。公开报告须排除机密信息和内部推理。
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20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。
Use this skill when a request concerns Paperclip evaluation selection,
interpretation, evidence, history, or a live run. Read doc/evals.md in the
Paperclip repository first. It defines the two families and their boundaries.
Do not assume the skill's installed location is inside a checkout. Locate the
repo explicitly with git rev-parse --show-toplevel from the current directory,
or inspect likely workspace roots and select the checkout containing
package.json, tests/runner-e2e, and packages/paperclip-runner. Locate the
private sibling paperclip-evals only when a Runner Eval needs its definitions;
use an explicit PAPERCLIP_EVALS_ROOT or a discovered sibling checkout. Never
invent a relative path from this copied skill into the repository.
Choose Runner Evals for real runner/provider protocol behavior against the
mock control plane. Authoritative details are in
packages/paperclip-runner/docs/runner-protocol-live-evals.md and the sibling
paperclip-evals/evals/paperclip-runner definitions.
Choose Product E2E Evals for real browser/server/database/runner/provider
workflows, including local and Daytona environments. Read
tests/runner-e2e/README.md, then FIXTURES.md, SECURITY.md, or
EVERYDAY-WORKFLOWS.md as relevant. Everyday Workflows remain Product E2E
even when imported into Evalbook. “Headless” is a browser mode, not a family.
Start with read-only catalog inspection and credential-free validation. For
Product E2E use pnpm test:e2e:runner:typecheck,
pnpm test:e2e:runner:unit, and pnpm test:e2e:runner -- --list; run one
explicit cell only when the user has authorized a live/paid run and the needed
credentials and immutable Daytona image are configured. For Runner Evals use
the pinned eval revision and the documented workflow/CLI. Never use a partial
selector as evidence of full coverage.
Keep source revisions, definition/catalog fingerprints, model/profile, environment, selected cells, retries, timing, usage/cost coverage, and grader version attached to every interpretation. Preserve partial attempts and classify failures as product, model/provider behavior, grading/evidence, or infrastructure from the observed failure and supported cause. A usable completed behavior failure is not infrastructure; missing provider/profile, transport, startup, or evidence requires examining the evidence before choosing the cause.
Use the existing family generator and viewer. Public projections may contain
sanitized fixture conversation and allowlisted tool outcomes/evidence; follow
the family's projection and publisher checks. Do not expose raw trusted
artifacts, credentials, secrets, private data, provider session IDs, or hidden
reasoning. A refresh from retained evidence has zero provider calls and remains
the original measurement with a new presentation. Link the public histories
and hub from doc/evals.md when reporting results.
For adding a case or fixture, use the narrower add-runner-eval or add-product-e2e-eval skill.
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为Paperclip新增或扩展贯穿真实浏览器、服务器、数据库和runner的端到端评估,整理测试数据、判定条件与证据,并在现有报告中查看操作结果。
为Paperclip Runner添加或扩展行为评估,定义判定条件、执行目标和报告验证数据,利用正常及异常证据验证结果,并保留执行记录与费用。
通过实际浏览器操作网页和应用,检查界面显示与运行情况。结合截图、简单表单填写、错误及网络请求记录,帮助复现问题并确认操作结果。
通过 Paperclip 分配的 AgentMail 收件箱,查看任务关联邮件、发送新邮件或回复,并核查投递结果;重试时保留相同标识,避免重复发送。
检查GitHub、GitLab和Perforce变更中的评审意见、自动检查失败及说明缺漏,整理待办事项,并按请求协助修改和解决已处理的讨论。
根据构想或现有代码仓库,梳理AI智能体的职责、汇报关系与工作交接,生成符合规范的公司或团队文件包,供组织协作和导入Paperclip使用。