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/alibabacloud-oos-chatops-agent

Alibaba Cloud OOS ChatOps Agent for natural-language cloud resource management and O&M operations. Supports querying ECS/RDS/VPC/SLB resources, executing operations (start/stop/restart), viewing monitoring and billing data, and batch O&M via OOS. Use when users ask about Alibaba

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alibabacloud-aiops-skills
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Install
$ npx -y skills add aliyun/alibabacloud-aiops-skills --skill alibabacloud-oos-chatops-agent --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/alibabacloud-oos-chatops-agent

Context preview

The summary Claude sees to decide when to auto-load this skill.

Alibaba Cloud OOS ChatOps Agent for natural-language cloud resource management and O&M operations. Supports querying ECS/RDS/VPC/SLB resources, executing operations (start/stop/restart), viewing monitoring and billing data, and batch O&M via OOS. Use when users ask about Alibaba

SKILL.md

alibabacloud-oos-chatops-agent.SKILL.md
name: alibabacloud-oos-chatops-agent
description: |
  Alibaba Cloud OOS ChatOps Agent for natural-language cloud resource management and O&M operations.
  Supports querying ECS/RDS/VPC/SLB resources, executing operations (start/stop/restart), viewing monitoring and billing data, and batch O&M via OOS.
  Use when users ask about Alibaba Cloud resources, instance management, cloud operations, or O&M automation.
  Triggers: "查看实例", "ECS", "RDS", "管理资源", "运维", "OOS", "ChatOps", "阿里云资源", "实例列表", "帮我操作", "重启", "停止实例", "resource management", "cloud operations", "list instances", "batch ops".

Alibaba Cloud OOS ChatOps Agent

Send natural-language questions to the OOS ChatOps Agent and receive streaming operational answers via SSE.

When to Use

  • Query cloud resources (ECS, RDS, VPC, SLB, security groups, etc.)
  • Execute resource operations (start, stop, restart, scale)
  • View monitoring data, billing, or resource health
  • Batch O&M tasks through natural language
  • General Alibaba Cloud resource management questions

Configuration

Credentials use the Alibaba Cloud Credentials default chain. Do not define skill-specific AccessKey variables; use standard credential sources such as environment variables (`ALIBABA_CLOUD_ACCESS_KEY_ID` / `ALIBABA_CLOUD_ACCESS_KEY_SECRET`), profiles (`~/.aliyun/config.json`), STS, RAM role, or instance metadata.

| Variable | Required | Description | |----------|----------|-------------| | `OOS_CHATOPS_REGION` | No | Target region for resource queries (default: `cn-hangzhou`) | | `OOS_CHATOPS_TIMEOUT` | No | Timeout in seconds (default: `300`) |

**Pre-flight check:**

missing=""
[ -z "$ALIBABA_CLOUD_ACCESS_KEY_ID" ] && missing="$missing ALIBABA_CLOUD_ACCESS_KEY_ID"
[ -z "$ALIBABA_CLOUD_ACCESS_KEY_SECRET" ] && missing="$missing ALIBABA_CLOUD_ACCESS_KEY_SECRET"
if [ -n "$missing" ]; then echo "ERROR: Missing credentials:$missing" >&2; exit 1; fi
echo "OK: Credentials configured"

**Credential security constraints:**

  • NEVER run `cat ~/.aliyun/config.json`, `env`, `printenv`, `echo $ALIBABA_CLOUD_*`, or any command that prints full credential values to stdout/stderr/logs.
  • When debugging credential issues, only output masked hints (e.g., `LTAI5t****`). Full AK/SK/Token values must NEVER appear in any output.
  • If credentials are unavailable, ask the user to configure the standard Alibaba Cloud credential chain. Never substitute placeholders.

Invocation

**[ABSOLUTE RULE] Tool whitelist**: The ONLY permitted tool for all cloud resource queries, O&M operations, and resource management tasks is `scripts/call_oos_chatops_agent.py`. For any scenario involving Alibaba Cloud resources — including but not limited to ECS, RDS, SLB, VPC, security groups, monitoring, billing, and batch operations — this script is the mandatory and exclusive entry point. If `aliyun` CLI, direct SDK calls, `curl`, or any other API tool is detected, the task is immediately treated as FAILED.

**`--pipe` is mandatory for all agent invocations.**

pip3 install -r scripts/requirements.txt

# First call (auto-creates conversation)
python3 scripts/call_oos_chatops_agent.py -q "<user question>" --pipe

# Follow-up (MUST reuse ConversationId)
python3 scripts/call_oos_chatops_agent.py --session "<conversation_id>" -q "<follow-up>" --pipe

# Custom region
python3 scripts/call_oos_chatops_agent.py -q "<query>" --region cn-beijing --pipe

# Long-running operations
python3 scripts/call_oos_chatops_agent.py -q "<complex query>" --timeout 600 --pipe

Output Format (PIPE mode)

CONVERSATION: 04c7922a-86c7-4d11-8b97-96e22662c7f3
=== OOS CHATOPS ANSWER BEGIN ===
(actual answer content)
=== OOS CHATOPS ANSWER END ===

Output Parsing and Verification

When processing script output, you MUST follow these rules strictly:

1. **Single source of truth**: Only the text between `=== OOS CHATOPS ANSWER BEGIN ===` and `=== OOS CHATOPS ANSWER END ===` is the factual answer. Everything outside these delimiters is metadata or progress. 2. **No hallucinated counts**: If you need to report resource counts (e.g., "53 ECS instances"), the number MUST come from the text between the delimiters. NEVER estimate or use prior knowledge to invent numbers. 3. **Self-check before reporting**: Before delivering the final answer to the user, verify that every data point (instance IDs, counts, statuses) is directly traceable to the delimiter-enclosed text. If the OOS answer says "53 instances" but you cannot find that number in the text, do NOT report it. 4. **Verbatim relay preferred**: When in doubt, quote the OOS answer directly rather than paraphrasing. Paraphrasing introduces hallucination risk.

Conversation Management

1. **MUST** extract `CONVERSATION: <id>` from output after every call and record it immediately 2. **MUST** pass `--session "<id>"` for all subsequent queries in the same context. Omitting `--session` is a failure 3. Starting a new conversation loses all prior context 4. **On error or empty response**: MUST retry once with the same `--session`. After two consecutive failures, report the error details honestly to the user. NEVER fabricate results or silently abandon the conversation

**Example:**

# Query 1
$ python3 scripts/call_oos_chatops_agent.py -q "List ECS instances in Hangzhou" --pipe
CONVERSATION: 04c7922a-86c7-4d11-8b97-96e22662c7f3
=== OOS CHATOPS ANSWER BEGIN ===
53 ECS instances found...
=== OOS CHATOPS ANSWER END ===

# Query 2: reuse conversation
$ python3 scripts/call_oos_chatops_agent.py --session "04c7922a-86c7-4d11-8b97-96e22662c7f3" -q "Show cn-beijing instances" --pipe

Command-Line Options

| Flag | Description | |------|-------------| | `-q`, `--question` | **Required.** Natural-language question or command. | | `--session <id>` | ConversationId for multi-turn. **Required for follow-ups.** | | `--region <region>` | Target region for resource queries (default: `cn-hangzhou`). | | `--timeout <seconds>` | SSE stream timeout

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