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Weibo

Skill AceDataCloud/Skills/skills/weibo

Read and post on 微博 / Weibo (weibo.com) with the user's own login cookies (BYOC) — list their recent posts with repost/comment/like counts and publish a new 微博. Use when the user mentions 微博 / Weibo, "我的微博", reading their post engagement, or 发微博 / posting to Weibo.From its SKILL.md

Install
npx -y skills add AceDataCloud/Skills --skill weibo

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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  • 13 stars13 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its file declares

Copied from the file, not written here

The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

4.0 KB, 926 tokens by cl100k_base, as published. Nobody here has run it

weibo — read & post on 微博 via your own cookies

Drives the user's real 微博 account through the same weibo.com/ajax web API the site uses, authenticated by the login cookie they captured with the ACE extension. No browser, no third-party deps — just urllib.

⚠️ Not yet E2E-verified. Unlike the other cookie skills (csdn / juejin / bilibili / medium), this one was built from the documented web API but could not be tested against a live account (no 微博 connection existed at build time). The first live run is the verification; if an endpoint shape drifted it will surface as a clear error rather than silent breakage.

The connector injects the cookie jar as an env var:

  • WEIBO_COOKIES — a JSON array of cookies. Secret — never echo or print it. Writes send the XSRF-TOKEN cookie as both the x-xsrf-token header and the st form field (the CLI does this for you).

CLI

The skill ships scripts/weibo.py — self-contained, stdlib only.

# $SKILL_DIR can point at another skill loaded this turn — anchor on our own
# script, and re-run this at the top of every Bash block (fresh shell each time).
WB="$SKILL_DIR/scripts/weibo.py"; [ -f "$WB" ] || WB=$(find /tmp -maxdepth 8 -path '*/skills/*/scripts/weibo.py' 2>/dev/null | head -1)
[ -f "$WB" ] || { echo "weibo script not found (SKILL_DIR=$SKILL_DIR)" >&2; exit 1; }
python3 "$WB" whoami                     # who is logged in (+ counts)
python3 "$WB" posts --limit 20           # my recent 微博 + engagement

Engagement comes straight from 微博: reposts_count (转发), comments_count (评论), attitudes_count (赞).

Verify the connection first

WB="$SKILL_DIR/scripts/weibo.py"; [ -f "$WB" ] || WB=$(find /tmp -maxdepth 8 -path '*/skills/*/scripts/weibo.py' 2>/dev/null | head -1)
python3 "$WB" whoami
# → {"uid": "...", "name": "...", "statuses_count": ...}

On an auth error the cookie is expired — have the user reconnect at https://auth.acedata.cloud/user/connections. Do not loop-retry.

Posting — GATED (dry-run unless trailing --confirm)

微博 are short-form, so there is no draft step — a confirmed post goes live. Without a trailing --confirm it dry-runs. --confirm is honored only as the last argument. Always show the dry-run, get an explicit "yes", then re-run.

WB="$SKILL_DIR/scripts/weibo.py"; [ -f "$WB" ] || WB=$(find /tmp -maxdepth 8 -path '*/skills/*/scripts/weibo.py' 2>/dev/null | head -1)
python3 "$WB" post --content "你好,这是一条微博"            # dry-run
python3 "$WB" post --content "你好,这是一条微博" --confirm   # PUBLIC 微博 (immediate)
  • There is no draft and no private mode on 微博 — a confirmed post is immediately public. Always show the dry-run and get explicit approval of the exact text before adding --confirm.

Gotchas

  • This is the user's real 微博 account. Confirm before any post — it is immediate and public by default.
  • Not E2E-verified (see the warning above) — expect to validate the first run.
  • Never print WEIBO_COOKIES — it is full account access.
  • ToS: acts only on the user's own account with their own captured cookie.

What ships with it: 1 file

9.3 KB alongside SKILL.md, 1 of them executable

scripts/

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