executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
juejinRead and publish on 掘金 / Juejin (juejin.cn) with the user's own login cookies (BYOC) — list their published articles with view/like/comment stats, inspect one article, and publish a new article. Use when the user mentions 掘金 / Juejin, "我的掘金文章", reading their article stats (阅读/点赞), or publishing/发文 to 掘金.
Independent GitHub snapshot · Automated classification · Original documentation governs
Drives the user's real 掘金 account through the same api.juejin.cn web
endpoints the site uses, authenticated by the login cookie they captured with
the ACE extension. No browser, no third-party deps — just urllib.
The connector injects the cookie jar as an env var:
JUEJIN_COOKIES — a JSON array of cookies. Secret — never echo or print it.The skill ships scripts/juejin.py — self-contained, stdlib only.
# $SKILL_DIR can point at another skill loaded this turn — anchor on our own
# script, and re-run this at the top of every Bash block (fresh shell each time).
JJ="$SKILL_DIR/scripts/juejin.py"; [ -f "$JJ" ] || JJ=$(find /tmp -maxdepth 8 -path '*/skills/*/scripts/juejin.py' 2>/dev/null | head -1)
[ -f "$JJ" ] || { echo "juejin script not found (SKILL_DIR=$SKILL_DIR)" >&2; exit 1; }
python3 "$JJ" whoami # who is logged in (+ totals)
python3 "$JJ" articles --limit 20 # my published articles + stats
python3 "$JJ" article <article-id> # one article's stats
Stats come straight from 掘金: view_count (阅读), digg_count (点赞),
comment_count (评论), collect_count (收藏). audit_status 2 = online.
JJ="$SKILL_DIR/scripts/juejin.py"; [ -f "$JJ" ] || JJ=$(find /tmp -maxdepth 8 -path '*/skills/*/scripts/juejin.py' 2>/dev/null | head -1)
python3 "$JJ" whoami
# → {"user_id": "...", "name": "...", "post_article_count": 0}
On an auth error (err_no 401 / "请登录") the cookie is expired — have the user
reconnect at https://studio.acedata.cloud/console/connectors. Do not loop-retry.
--confirm)publish writes to the user's real account. Content is Markdown. Without a
trailing --confirm it dry-runs. --confirm is honored only as the last
argument. Always show the dry-run, get an explicit "yes", then re-run.
JJ="$SKILL_DIR/scripts/juejin.py"; [ -f "$JJ" ] || JJ=$(find /tmp -maxdepth 8 -path '*/skills/*/scripts/juejin.py' 2>/dev/null | head -1)
python3 "$JJ" publish --title "标题" --content-file a.md # dry-run
python3 "$JJ" publish --title "标题" --content-file a.md --draft-only --confirm # private draft
python3 "$JJ" publish --title "标题" --content-file a.md \
--category-id 6809637769959178254 --tag-ids 6809640407484334093 --confirm # PUBLIC
--draft-only creates a private draft (掘金 article_draft) — safe.--category-id
and at least one --tag-id. Without them, use --draft-only and let the user
pick category/tags in the 掘金 editor. Default to --draft-only.--draft-only.JUEJIN_COOKIES — it is full account access.After you successfully publish and obtain the live result URL, call the built-in
publish_artifact tool ONCE so the user can track this deliverable in My Outputs:
publish_artifact(kind="article", channel="juejin", title="<title>", url="<the REAL returned URL>", status="delivered")
Use the real returned URL — never fabricate one. Call it once per published item,
only after delivery is confirmed; skip it (or use status="failed") if publishing failed.
See _shared/artifacts.md.