菜单
Run a real GitHub-based team health / performance audit for the Chrono AI engineering team. Triggers on "team health", "团队健康", "全员审计", "全员绩效", "绩效审计", "check the team". Runs a fixed self-contained script via code_execute and returns a red/yellow/green report; posts it to Lark.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Aevatar scheduling & workflow automation: scheduled_agent_creator (cron/one-shot), the long-running task automation playbook, workflow creation semantics (Scope Workflow vs Ornn publish), agent_builder lifecycle, and scheduled-run credential lifetimes (5-minute broker token at fire) with a token_expired triage protocol.
Aevatar channel & delivery how-to: capability tools (code_execute, nyxid_proxy, GitHub PAT fallback, channel bots), token_expired/401 credential triage for capability tools, LLM route selection slash commands, channel_registrations (staged Lark provisioning), and agent_delivery_targets binding.
Configure and prove Aevatar codex_exec for one NyxID account, choosing either operator-managed OpenSandbox or a private NyxID node-backed SSH service. Use for managed allowlist/binding readiness, node registration, forced-command hardening, service binding, Codex authentication/workspace configuration, mandatory public-sample verification, or diagnosing managed sandbox and private SSH failures.
Mount and run harmless Aevatar workflows that prove codex_exec works through either the operator-managed OpenSandbox target or a private NyxID node-backed SSH target. Use after configuring managed access or a personal node, before real tasks, and when diagnosing identity, allowlist, binding, sandbox, service, principal, or Codex runner failures.
Decide — honestly — whether a thing the user wants to build on Aevatar is possible, what its prerequisites are, or why it cannot be done, BEFORE anyone starts building. Use this first whenever a user describes a goal rather than a concrete artifact — "can aevatar do X", "I want a bot that…", "build me something that posts to Twitter / reads my GitHub / replies on Telegram", "is it possible to…", "automate … every day", "let Lark Base trigger a workflow". It teaches the one hard premise (every third-party capability is brokered by NyxID), the two distinct surfaces (outbound connector vs inbound channel), external HTTP trigger options such as Lark Base automation, how to check what is actually connectable, the prerequisite for each capability class, what is host-gated (and so not self-serve), and what is genuinely impossible without new NyxID/Aevatar platform work — so you can negotiate scope and give the user a straight answer plus next steps instead of over-promising. It scopes; it does not build (hand off to
Entry point, panorama, and router for the entire Aevatar skill family — load this FIRST whenever someone wants to build, run, publish, schedule, externally trigger, or operate anything on Aevatar ("create an agent team", "make a workflow / member", "publish or bind a service", "register it with NyxID", "set up a recurring / cron run", "invoke my service", "let Lark Base trigger my workflow"), wants to know whether something is even possible ("can Aevatar do X?", "能不能用 aevatar 实现"), or just wants to know what Aevatar can do. It teaches the object model (scope → team → member[workflow|script|gagent] → service → schedule/external trigger), how to authenticate as a NyxID-bearer REST client, how to resolve your scope, and the two caller modes (client REST vs in-session server-side tools). It does not do the work itself — it routes you to the right companion skill (feasibility-advisor, workflow-authoring, team-builder, service-publisher, scheduler, plus diagnostics probes and the safety-net fallback), held together
| name | chrono-team-health |
| description | Run a real GitHub-based team health / performance audit for the Chrono AI engineering team. Triggers on "team health", "团队健康", "全员审计", "全员绩效", "绩效审计", "check the team". Runs a fixed self-contained script via code_execute and returns a red/yellow/green report; posts it to Lark. |
| metadata | {"category":"plain","tag":["chrono","hr","team-health","audit","aevatar"]} |
| version | 1.7 |
当用户要 team-health / 全员审计 / 绩效审计：不要反问、不要解释概念。直接用 code_execute 工具把下面这段 Python 脚本原样执行，把脚本 stdout（报告全文）作为回复返回。脚本是自包含的，不需要任何外部数据源连接、不需要额外授权——它自己带凭证通过 HTTP 完成一切。
import urllib.request, urllib.parse, json, time, datetime
KEY = "nyx_b49ede38360217acd72c5bb0cc25420feac7023618cab5cecd6b24c17771c0b6"
BASE = "https://nyx-api.chrono-ai.fun/api/v1/proxy/s"
GH = "/" + "api-" + "github" + "-pat" # 运行时拼出
LARK = "/" + "api-" + "lark-" + "bot-2"
UA = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0 Safari/537.36"
CHAT = "oc_01369556f177b53af4d73507c10b3a9e"
H = {"Authorization": "Bearer " + KEY, "User-Agent": UA}
def get(url):
return urllib.request.urlopen(urllib.request.Request(url, headers=H), timeout=30)
date_hdr = get(BASE + GH + "/rate_limit").headers.get("Date")
today = datetime.datetime.strptime(date_hdr, "%a, %d %b %Y %H:%M:%S %Z").date()
since = (today - datetime.timedelta(days=30)).isoformat()
members = [("AbigailDeng","Abigail",0),("AlyciaBHZ","Alycia",0),("chronoai-shining","Shining",0),
("ctkm-aelf","Calvin",1),("dannick-aelf","Dannick",0),("eanzhao","Ean",0),("jason-aelf","Jason",0),
("jianwei-su","Stephan",0),("kaihuei0114","Kaihuei",0),("kaiweijw","Kaiwei",1),("louis4li","Louis",0),
("potter-sun","Potter",0),("wanghuan-520","Haylee",1),("YueZh127","Shaw",0),("aelf-hzz780","Richard",0)]
res = []
for login, disp, nyx in members:
cnt = None
for _ in range(3):
try:
q = urllib.parse.urlencode({"q": f"is:pr author:{login} merged:>={since}", "per_page": 1})
cnt = json.loads(get(f"{BASE}{GH}/search/issues?{q}").read()).get("total_count"); break
except Exception:
time.sleep(2.5)
res.append((disp, cnt, nyx)); time.sleep(1.3)
red, yellow, green = [], [], []
for disp, cnt, nyx in res:
if cnt is None: red.append(f"{disp} — 未取到(查询失败)")
elif cnt == 0: red.append(f"{disp} — 近30天合并PR 0" + ("（nyxid方向，重点）" if nyx else ""))
elif cnt < 10: yellow.append(f"{disp} — 近30天合并PR {cnt}" + ("（nyxid方向）" if nyx else ""))
else: green.append(f"{disp} — 近30天合并PR {cnt}")
lines = [f"📋 全员绩效审计 — {today}",
f"整体：🔴 {len(red)} 需介入 | 🟡 {len(yellow)} 需关注 | 🟢 {len(green)} 正常", ""]
if red: lines += ["🔴 需要立即介入"] + ["- " + x for x in red] + [""]
if yellow: lines += ["🟡 需要关注"] + ["- " + x for x in yellow] + [""]
if green: lines += ["🟢 高产稳定"] + ["- " + x for x in green] + [""]
lines += ["口径：近30天 merged PR | Powered by Chrono HR"]
report = "\n".join(lines)
try:
body = json.dumps({"receive_id": CHAT, "msg_type": "text",
"content": json.dumps({"text": report}, ensure_ascii=False)}).encode()
rq = urllib.request.Request(BASE + LARK + "/open-apis/im/v1/messages?receive_id_type=chat_id",
data=body, headers={**H, "Content-Type": "application/json"}, method="POST")
sent = "已发送Lark(code=%s)" % json.loads(urllib.request.urlopen(rq, timeout=30).read()).get("code")
except Exception as e:
sent = "Lark发送失败:" + str(e)[:80]
print(report); print("\n[" + sent + "]")
执行后把 print 出来的报告全文返回给用户。这个 skill 不依赖任何外部连接器，直接用 code_execute 跑即可。