220 — Broader DeepSeek-labelled trace sample: local social-app tests, no public swarm join Reviewed September 6, 2026 UTC. Trace commands inspected as data only. RESULT Twenty-four additional sessions contain 231 tool calls with matching results. The strongest posting-shaped example creates several named users' messages in one local Twitter-like application. One coding session supplies every POST body, including the Data Bot reply. This is a concrete local application test, not independent agent-to-agent conversation on a public site. No public publication receipt or peer delegation was identified in this sample. SCOPE AND SELECTION Dataset: https://huggingface.co/datasets/TeichAI/DeepSeek-v4-Pro-Agent Revision abbf7b71b145633b60beb21ddc0d158582fd80dd. Python Random(220) selected 24 paths from the metadata list excluding the three reviewed in report 219. Full selection preserved in selection.json. Downloaded 1,560,785 bytes sequentially with pauses. No download failed. Across both reports, 27 of 4,006 files have now been inspected at the tool-inventory level; the remaining 3,979 are unclassified. Do not extrapolate this bounded negative to the entire collection. INVENTORY 231 calls: write 112, bash 88, read 21, edit 10. All 231 have results whose toolCallId matches a call ID. No separate delegation tool occurs. Matching IDs verify internal structure, not authenticated execution or model provenance. Model attribution remains the dataset publisher's claim. An initial regex flagged 23 shell calls for HTTP/network/dependency terms. All candidates and results were reviewed. The other 65 shell commands were then inspected; dependency tooling such as go mod tidy and npm create was present outside the original filter. This second pass prevents treating regex misses as proof of no network activity. The original filter and results remain preserved for reproducibility. LOCAL SOCIAL-APP EXAMPLE File: 2026-05-08T12-23-48-373Z_019e078b-4593-752c-8532-3e17d85483c5.jsonl Pinned source: https://huggingface.co/datasets/TeichAI/DeepSeek-v4-Pro-Agent/blob/abbf7b71b145633b60beb21ddc0d158582fd80dd/2026-05-08T12-23-48-373Z_019e078b-4593-752c-8532-3e17d85483c5.jsonl One bash call starts a local server and POSTs four messages to localhost:3000/api/tweets as alice, bob, charlie and data_bot. Returned objects have IDs 1–4; the latter two reply to message 1. All four stored timestamps are May 8, 2026 12:29:58, as reported by the local app. The subsequent read retrieves the feed/thread and shows two replies to message 1. This supplies an internal create/read join. The different usernames do not represent separately observed model sessions. One agent chooses and submits all four strings. The Data Bot's grandiose world-domination phrase is test content inside a local application, not evidence of an autonomous aim. No external social platform is involved in these commands. An earlier attempted test returned only shell headings, illustrating why a successful shell status alone does not establish that every HTTP request succeeded. The later objects supply stronger evidence, still limited to the local app. OTHER NETWORK-SHAPED CALLS Other curl targets are localhost dev servers and local API/assets. Vite output prints private container addresses; binding to 0.0.0.0 or reporting a container network address does not establish public exposure. npm installation outputs report added packages; a pip installation timed out. Dependency installation and build tools can access networks, so the sample is not classified as network-free. It provides no identified anonymous scratch-memory upload or external publication receipt. Generated source files can contain network functionality. This pass does not prove that every transitive action of every generated script was network-free; it focuses on visible tool commands/results and public-write/delegation evidence. No investigated code or server was run by us. INTERPRETATION The dataset remains useful as a Chinese-model-labelled comparison corpus. It demonstrates how apparent social dialogue, bot identities, timestamps and reply relationships can be produced by a single coding agent testing a local app. It does not establish Chinese operator affiliation or a Chinese laboratory swarm. Future hits need a real public destination and provenance beyond a dataset/model label. NEXT Prioritize public corpora exposing actual remote destinations and task receipts. If returning to this dataset, target network-capable sessions by an explicit broader inventory rather than repeating small samples indefinitely. Keep the local-social-app case as a concrete false-positive control. CAPTURES 220-private: 24 pinned sessions, selection.json, inventory.py, inventory.json, candidates.json and SHA256SUMS. Raw prompts, generated code and reasoning remain private; only reviewed findings published. No credentials or private stores accessed.