Ayunis Core backend specifics — module boundaries, key files, and project conventions. Complements the nestjs-hexagonal-backend skill.
中文简介正在准备中。当前显示原文说明。
Query Ayunis deployed-environment telemetry in AppSignal — incidents, occurrence counts and error traces via the `appsignal-cli` binary; structured log attributes (user.id, org.id, nestjs.context, custom metadata) via the v2 logs API. Use when investigating a production/staging incident or log data — NOT for local dev logs (see backend-debugging).
中文简介正在准备中。当前显示原文说明。
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Ayunis ships backend logs and errors to AppSignal. There are two access paths and they answer different questions. Pick by the question, don't default to one.
| Question | Tool |
|---|---|
| Is this incident still happening? How often, first/last seen? | appsignal-cli |
| Which exception, what stack trace, which deploy? | appsignal-cli |
What did this log line actually carry — user.id, org.id, nestjs.context, custom metadata? | v2 logs API |
Incident-shaped ticket questions are answered from incident data, not from
reading code. "Is this fix realistic?", "how often does this happen?", "is this
still occurring after the last deploy?", "is this already fixed?" — all of these
need appsignal-cli before you form an opinion. A full PR was once built and then
closed as a duplicate because an earlier ticket had already suppressed the error in
a deployed revision and nobody checked the live incident first.
appsignal-cliThe binary is appsignal-cli, not appsignal. command -v appsignal
returning nothing does not mean the CLI is absent — check appsignal-cli.
It is already authenticated: the CLI holds its own OAuth token in its config
file (~/Library/Application Support/appsignal/config.toml on macOS). Nothing
needs to be fetched from Bitwarden to use the CLI.
appsignal-cli --help # discover the current command surface
appsignal-cli <subcommand> --help # flags change between versions — check, don't guess
appsignal-cli apps list # app ids + environments
The CLI covers apps, incidents (occurrence counts, first/last seen), error traces,
log search/sources, and deploy markers. Read --help rather than guessing flags.
Ayunis runs different config and different model deployments per environment. Before drawing any conclusion, confirm which app/environment you queried and say so in your report. A confident diagnosis built on production data presented as staging (or vice versa) is worse than no diagnosis — it has happened, and the whole analysis had to be thrown away.
appsignal-cli renders only AppSignal's legacy attributes field, which
AppSignal is phasing out. Modern structured attributes are emitted under a separate
json field that the CLI does not display — so the CLI shows attributes: null
(or an empty object) even when the line is rich with structured data.
Consequence: trusting the CLI for attribute presence produces a false-negative "the logs have no metadata / dotted keys are being dropped" diagnosis. That exact wrong conclusion has been reached twice. If a logging investigation hinges on "are attributes present?", query the v2 API — never answer that question from the CLI.
This is a narrow blind spot, not a reason to avoid the CLI for everything else.
Structured attributes live in the .json field of each returned line. The request
shape below is the one that currently works — source_ids is an array, and a
pagination object is required:
# TOKEN: the appsignal-cli OAuth token from its config.toml (see above), or an
# AppSignal API token from Bitwarden (search AppSignal). Pass via env; never inline.
curl -sS -X POST 'https://appsignal.com/api/v2/logs/lines' \
-H "Authorization: Bearer ${TOKEN}" \
-H 'Content-Type: application/json' \
-d '{
"from": "2026-08-06T08:30:00Z",
"to": "2026-08-06T08:55:00Z",
"source_ids": ["<log source id>"],
"query": "message:\"Thread deleted successfully\"",
"pagination": {"per_page": 100, "order": "ASC", "cursor": {"time": null}}
}' \
| jq '.[] | {timestamp, message, json}' # <-- .json holds the real attributes
Authorization: Bearer header. The old ?token= query parameter
and the site_id / source_id / limit body fields no longer work..json field is where user.id, org.id, nestjs.context and custom
metadata appear. .attributes is the legacy field the CLI reads — expect it empty.source_id from appsignal-cli (log sources) or the AppSignal UI URL
for the logs view.from/to and query; set per_page explicitly.If the API rejects a request, check AppSignal's current API docs before reverse-engineering — the schema has changed at least once.
For the v2 API you can reuse the CLI's own token or fetch the AppSignal API token
from Bitwarden. Per skill conventions, this SKILL.md names the secret; the agent
fetches it (get-secret) and exports it before running the curl. Scripts must
never call Bitwarden internally.
This skill is for AppSignal (deployed environments). For local dev-stack runtime
errors, use the backend-debugging skill (./dev logs backend) — that is a different
log source and a different workflow.
还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
Ayunis Core backend specifics — module boundaries, key files, and project conventions. Complements the nestjs-hexagonal-backend skill.
中文简介正在准备中。当前显示原文说明。
Frontend development in ayunis-core. Use when creating, modifying, or debugging frontend code (React, Feature-Sliced Design, API client).
中文简介正在准备中。当前显示原文说明。
Debug backend runtime errors (500s, crashes, unexpected behavior). Use when something is broken at runtime — not for writing new code.
中文简介正在准备中。当前显示原文说明。
Shared test fixtures for backend specs — port mock factories, domain builders, and shared IDs in a per-module testing/ folder. Use when a module's *.use-case.spec.ts files repeat the same mock-repository literal, inline entity construction, or hardcoded UUIDs across files.
中文简介正在准备中。当前显示原文说明。
Analyze Cursor Bugbot PR comments through a root-cause lens: is the finding valid, and is the suggested fix the real fix or a bandaid over a deeper problem? Use when the user asks to check, assess, or triage bugbot comments.
中文简介正在准备中。当前显示原文说明。
Self-review local changes before creating a PR. Use when the user says "review", "review my code", "check my changes", or wants confidence before submitting.
中文简介正在准备中。当前显示原文说明。