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。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/a5c-ai/babysitter --skill accomplish-status命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
Reference for querying the Atlas knowledge graph through its MCP tools — the SECONDARY enrichment/comparison layer that adds best-practice context to systems you have ALREADY scanned from your real sources (`az`, repos, dirs). Use when you need to look up nodes, edges, kinds, clusters, stats, or wiki pages in Atlas to compare against your real inventory. (atlas graph, query atlas, atlas mcp, search the graph, graph neighbors, atlas record, atlas kinds, enrichment layer)
Atlas turns your STATED NEED into a real systems atlas by SCANNING your actual sources (Azure via `az`, git repos, local dirs) and process/data mining them, THEN enriching against the Atlas knowledge graph. Use this skill when asked to inventory/map your real systems, scan your cloud + repos + directories, mine the real processes or data they contain, or collect their real constraints/gotchas. (atlas, scan my systems, inventory our azure account, map my repos, real systems atlas, process mining, data mining, collect nuances, system discovery)
This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.
正在显示 SKILL.md
| name | accomplish-status |
| description | Report babysitter orchestration run status to Accomplish AI desktop app via file-based IPC |
| command | /accomplish-status |
Report babysitter run status to the Accomplish AI desktop app via file-based IPC.
This skill writes run status JSON to a well-known directory. External consumers (such as a future Accomplish daemon integration or other tooling) can watch this directory for changes to track orchestration progress, pending breakpoints, and completion state.
Status files are written to:
<OPENCODE_CONFIG_DIR>/run-status/<runId>.json
Where OPENCODE_CONFIG_DIR is resolved from the OPENCODE_CONFIG_DIR environment variable (typically ~/.config/opencode or platform equivalent).
Read the SDK version from versions.json to ensure version compatibility:
SDK_VERSION=$(node -e "try{const fs=require('fs');const probes=['./plugins/babysitter-unified/versions.json','./node_modules/@a5c-ai/babysitter-opencode/versions.json'];for(const probe of probes){if(fs.existsSync(probe)){console.log(JSON.parse(fs.readFileSync(probe,'utf8')).sdkVersion||'latest');process.exit(0)}}console.log('latest')}catch{console.log('latest')}")
npm i -g @a5c-ai/babysitter-sdk@$SDK_VERSION
if command -v babysitter >/dev/null 2>&1 && babysitter --version >/dev/null 2>&1; then
CLI="babysitter"
else
CLI="npm exec --yes --package @a5c-ai/babysitter-sdk@$SDK_VERSION -- babysitter"
fi
If a stale or broken global shim fails with MODULE_NOT_FOUND, repair it with npm rm -g @a5c-ai/babysitter @a5c-ai/babysitter-sdk && npm i -g @a5c-ai/babysitter-sdk@$SDK_VERSION, then re-run babysitter --version.
STATUS_DIR="${OPENCODE_CONFIG_DIR:-$HOME/.config/opencode}/run-status"
mkdir -p "$STATUS_DIR"
babysitter run:status .a5c/runs/<runId> --json
Transform the run status output into the Accomplish status format and write it to $STATUS_DIR/<runId>.json.
Use the ACCOMPLISH_TASK_ID environment variable to correlate the babysitter run with the originating Accomplish task. This variable is set automatically by Accomplish when it spawns the agent session.
ACCOMPLISH_TASK_ID="${ACCOMPLISH_TASK_ID:-}"
Write the following JSON structure to $STATUS_DIR/<runId>.json:
{
"runId": "abc123-def456",
"processId": "my-process",
"status": "running",
"currentPhase": "execute",
"phases": [
{ "name": "plan", "status": "completed" },
{ "name": "execute", "status": "running" },
{ "name": "verify", "status": "pending" }
],
"pendingEffects": [
{
"effectId": "eff-001",
| Field | Type | Description |
|---|---|---|
runId | string | Babysitter run identifier |
processId | string | Process definition identifier |
status | enum | One of: created, running, waiting, completed, failed |
currentPhase | string | Name of the currently active phase |
phases | array | Ordered list of phases with individual status (pending, running, completed, failed) |
pendingEffects | array | Currently pending effects (tasks, breakpoints, sleeps) awaiting resolution |
accomplishTaskId | string | Correlation ID from ACCOMPLISH_TASK_ID env var; links this run to the Accomplish UI task |
lastUpdatedAt | string | ISO 8601 timestamp of the last status update |
Write or update the status file:
babysitter run:create (status: created)babysitter run:iterate call (status: running or waiting)waiting, include breakpoint in pendingEffects)babysitter task:post resolves an effect (status: running)completed)failed)When a run reaches a terminal state (completed or failed), the status file may be left in place for external consumers to read the final state. Stale status files can be cleaned up manually or by external tooling.