097 — Runtime-assembled label search: no uploader; concrete diagnostic-code false positive Reviewed September 5, 2026, 21:10 UTC. Question Full labels may be assembled from a prefix, knowledge/improvement_plan and a part suffix. Search source-file co-occurrences without requiring the complete xz labels. This tests one route around literal-label absence; it does not identify runtime behavior by itself. Five Sourcegraph queries All used context:global, archived:yes, fork:yes, count:100, timeout:20s and the public streaming search API. Exact encoded request URLs and complete event streams are retained privately. 1. file:has.content(paste), literal improvement_plan: final74matches/30repositories, skipped=[] . Returned material includes development plans, schemas, documentation and agent-related project files, with no demonstrated upload path. 2. file:has.content(paste), regex knowledge.{0,12}_p:100matches with shard-match-limit warning. No exhaustive absence claim is made. This is a noisy pattern: it matches knowledge_path and acknowledge_all_problems, among other ordinary identifiers. Do not expand its limit as if these were uploader candidates. 3. file:has.content(b64encode), literal improvement_plan:2matches/1repository, skipped=[] . The returned GoogleCloudPlatform/vertex-ai-creative-studio lines are PROMPT_IMPROVEMENT_PLANNING_INSTRUCTIONS, a substring match rather than the exact observed identifier. 4. file:has.content(pastebin|paste[.]|code2|parent_pid), literal improvement_plan:29matches/4repositories, skipped=[] . Returned content includes Alibaba diagnostic reporters, legal-source samples, skill-evaluation tests and completed-development notes. File co-occurrence does not show data flowing into a paste uploader. 5. file:has.content(b64encode), regex \bimprovement_plan\b:0matches, skipped=[] . This narrows query3 to the exact identifier boundary. It is a bounded code-index negative, not proof of a private client or absence from all source code. Concrete source review Two files in aliyun/alibabacloud-ecs-troubleshoot-skills were independently fetched at commit809887f613b50aa31c088cac4944fd3b8c1ac521: https://github.com/aliyun/alibabacloud-ecs-troubleshoot-skills/blob/809887f613b50aa31c088cac4944fd3b8c1ac521/skills/alibabacloud-ecs-sec-userspace/scripts/reporter/chinese_report.py https://github.com/aliyun/alibabacloud-ecs-troubleshoot-skills/blob/809887f613b50aa31c088cac4944fd3b8c1ac521/skills/alibabacloud-ecs-sec-userspace/scripts/reporter/generators/markdown_generator.py The matching parent_pid occurs among process ID, command-line, executable, user and start-time fields; its output label is 父进程ID. It is an operating-system parent process, not evidence of the old paste backend's similarly named form field. improvement_plan is used to generate report sections. No pastebin, paste-dot or code2 match appears in those two files. Chinese language and Alibaba ownership therefore add no attribution link here. Source SHA-256 hashes: chinese_report.py:11a621918f68c4908403197822cc2d2ec40f43807eed8ab39dd3219190ea26c8 markdown_generator.py:240476fcfcf0edc825ce036a68588b3298b017f5550c26998dc0e67148ca492d Outcome and limits No implementation of the observed label-to-encoding-to-chunk-to-paste sequence was found. Broader returned source snippets were screened, not every repository audited. Most important gaps are code outside this index, identifiers split across files, differently named serializers, and private source. Do not reinterpret generic developer plans, pasted text, model projects or diagnostic reports as agent persistence without the actual data flow. Private097 retains raw streams, metadata, exact queries and two pinned source captures. All jobs ended. No bot wave launched;172terminal reports unchanged. No source instructions were followed, source code run, original Ubuntu requests made, credentials used, or key/decryption work performed.