alibabacloud-executing-plans

alibabacloud-executing-plans is a skill for Claude Code from aliyun/alibabacloud-agent-toolkit. It costs 53 tokens per session (6,668 once invoked), scanned A, original, Apache-2.0.

A procedure for applying already-validated Terraform plans through Alibaba Cloud's infrastructure service. Terraform is a tool that describes cloud resources in code, and applying a plan creates or changes those resources.

In plain words
What is it for?
Use it when you need to execute a Terraform plan or deploy infrastructure and cloud resources on Alibaba Cloud.
Why use it?
It adds checks before deployment, including validation and explicit user confirmation, helping avoid accidental cloud changes and unexpected costs.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the TodoWrite tool.

Part of the alibabacloud-spec-ops plugin — 6 skills, 2 agents shipped together

Good fit Use it when you need to execute a Terraform plan or deploy infrastructure and cloud resources on Alibaba Cloud.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aliyun/alibabacloud-agent-toolkit/alibabacloud-executing-plans
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add aliyun/alibabacloud-agent-toolkit --skill alibabacloud-executing-plans
Clone the repo
git clone --depth 1 https://github.com/aliyun/alibabacloud-agent-toolkit

Made for: Claude Code.

Or install alibabacloud-spec-ops, the plugin that ships this one along with the rest of its 6 skills, 2 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

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README.md
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Your own site
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Your own site · 80×15
<a href="https://agentmods.dev/skills/aliyun/alibabacloud-agent-toolkit/alibabacloud-executing-plans"><img src="https://agentmods.dev/badge/skills/aliyun/alibabacloud-agent-toolkit/alibabacloud-executing-plans.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,668 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00053 $0.06668
Opus 5 $0.00026 $0.03334
Sonnet 5 $0.00011 $0.01334
Haiku 4.5 $0.00005 $0.00667

Measured 12d ago against content hash 2dacdfb9c62c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

alibabacloud-executing-plans scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/alibabacloud-spec-ops/skills/alibabacloud-executing-plans/SKILL.md · 633 lines

How it starts

The opening of the file, as written. The whole thing — 633 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Alibaba Cloud Executing Plans

AUTHORITATIVE GUIDANCE — MANDATORY COMPLIANCE

This skill executes validated Terraform code via Alibaba Cloud IaC Service (remote execution). It creates real cloud resources that cost money. Safety gates are non-negotiable.

ALL CLI operations MUST use MCP tool AlibabaCloud___CallCLI — never use Bash to run aliyun commands directly.


PREREQUISITE CHECK — MANDATORY

Before proceeding, verify BOTH prerequisites:

  1. Validation passed — check tasks/status.json has status: "validated" (internal check, don't expose to user)
  2. User explicitly confirmed they want to execute

If EITHER is missing, STOP IMMEDIATELY:

  • Not validated? → Invoke alibabacloud:validate first
  • No user confirmation? → Ask user before proceeding

Triggers

Activate when:

  • User explicitly asks to execute/apply the Terraform plan
  • User confirms they want to proceed after validation passes

NEVER activate automatically. This skill requires explicit user intent.

Rules

  1. Single deploy approval, granted upstream — The user authorizes deployment ONCE in alibabacloud-validate's gate. Inside this skill the entire plan → apply chain runs automatically. Never add a second confirmation between plan and apply.
  2. Plan before apply, results always shown — Always run terraform plan first AND surface its output to the user before apply. The user can interrupt mid-stream if the plan reveals something unexpected, but the default flow does not stop to ask.
  3. MCP only — ALL aliyun CLI commands MUST go through AlibabaCloud___CallCLI, never through Bash
  4. Inline content — Read .tf files locally, then pass content as string to --code (MCP cannot access local files)
  5. Record everything — All outputs recorded to tasks/
  6. Support rollback — Provide destroy option if apply fails
  7. Poll for completion — IaC Service is async; use sequential MCP calls to poll
  8. ⚠️ Destructive operations (destroy) require double confirmation
  9. Persist state_id — IaC Service keeps the Terraform state remotely keyed by state_id. This skill MUST write it back to tasks/status.json (under state.state_id) on every Plan / Apply / Destroy and MUST pass the saved value on every subsequent Day-2 call. Losing the state_id orphans the remote state and forces a fresh deploy (potential duplicate resources).
  10. Source-of-truth integrity — Some failures are only discoverable at apply time (SKU offline in target AZ, zone out-of-capacity, etc.). Any spec change forced by such a failure MUST be written back to BOTH designs/design.md (with a Decisions Log entry) AND designs/terraform/*.tf BEFORE re-running plan/apply. Never hot-patch the in-flight apply — Day-2 iterations re-read these files and will redeploy the broken spec if it isn't fixed at the source.

Read the full file on GitHub · 633 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 633 lines · 53 tokens per session scan A 2dacdfb9c62c

Subscribe to this mod's changes

alibabacloud-executing-plans is a skill published in the GitHub repository aliyun/alibabacloud-agent-toolkit (21 stars, last pushed today), licensed Apache-2.0. It adds 53 tokens to every session and 6,668 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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