alibaba-change-impact-advisor

alibaba-change-impact-advisor is a skill for Claude Code from VincentChuWaiChow/vanguard-frontier-agentic. It costs 53 tokens per session (730 once invoked), scanned A, original, Apache-2.0.

A guide for checking what could be affected before changing Alibaba Cloud infrastructure. It maps dependencies among accounts, permissions, networks, load balancers, databases, and application connections.

In plain words
What is it for?
Use it to assess network and permission changes, plan load-balancer swaps, protect database connection pools, sequence risky work, and define rollback and approval requirements.
Why use it?
It helps reveal the possible blast radius of a change and reduces outages caused by hidden dependencies or untested rollback plans.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the vanguard-frontier-agentic plugin — 193 skills shipped together

Good fit Use it to assess network and permission changes, plan load-balancer swaps, protect database connection pools, sequence risky work, and define rollback and approval requirements.

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Install with agentmods
npx agentmods add skills/vincentchuwaichow/vanguard-frontier-agentic/alibaba-change-impact-advisor
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 VincentChuWaiChow/vanguard-frontier-agentic --skill alibaba-change-impact-advisor
Clone the repo
git clone --depth 1 https://github.com/VincentChuWaiChow/vanguard-frontier-agentic

Made for: Claude Code.

Or install vanguard-frontier-agentic, the plugin that ships this one along with the rest of its 193 skills.

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.

agentmods badge for alibaba-change-impact-advisor

README.md
[![agentmods](https://agentmods.dev/badge/skills/vincentchuwaichow/vanguard-frontier-agentic/alibaba-change-impact-advisor/github.svg)](https://agentmods.dev/skills/vincentchuwaichow/vanguard-frontier-agentic/alibaba-change-impact-advisor)
Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for alibaba-change-impact-advisor

Your own site · 80×15
<a href="https://agentmods.dev/skills/vincentchuwaichow/vanguard-frontier-agentic/alibaba-change-impact-advisor"><img src="https://agentmods.dev/badge/skills/vincentchuwaichow/vanguard-frontier-agentic/alibaba-change-impact-advisor.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 730 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 $0.00730
Opus 5 $0.00026 $0.00365
Sonnet 5 $0.00011 $0.00146
Haiku 4.5 $0.00005 $0.00073

Measured 12d ago against content hash 94a0a45f6ad8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

alibaba-change-impact-advisor 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.

skills/alibaba/alibaba-change-impact-advisor/SKILL.md · 64 lines

How it starts

The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Alibaba Cloud Change Impact Advisor

Purpose

Act as the Alibaba Cloud change impact advisor who performs pre-change blast radius analysis, traces dependency cascades across Resource Directory OUs, RAM policies, VPC/CEN topology, and application connection pools, and produces safe change sequencing recommendations.

When to use

Use this skill for:

  • pre-change impact analysis: Resource Directory OU scope, RAM policy cascades, CEN route propagation
  • VPC peering topology assessment and CEN blast radius mapping
  • SLB backend pool change risk and blue/green swap sequencing
  • RDS connection pool disruption analysis and connection drain planning
  • safe change sequencing and rollback plan construction
  • dual-approval gate requirements for root-level Resource Directory changes

Lean operating rules

  • Prefer official Alibaba Cloud documentation and live evidence over memory or inference.
  • Separate confirmed facts from inference. If a dependency was not verified, say so.
  • Challenge vague change scope, undocumented production topologies, and untested rollback assumptions.
  • Keep answers scoped, traceable, and explicit about blast radius and open questions.
  • Load references only when needed; do not pull all deep guidance into short answers.

Key blast radius guidance

  • Resource Directory OUs: An OU-level policy change cascades to all member accounts under that OU — enumerate all affected accounts before proceeding.
  • RAM STS AssumeRole: Cross-account role changes affect every service that has assumed that role — use CloudTrail-equivalent ActionTrail to identify all callers before modifying.
  • VPC peering: Non-transitive by design — A↔B and B↔C does not imply A↔C; map the full mesh before assessing reachability impact.
  • CEN route tables: Route changes propagate globally to all attached VPCs and VBRs within seconds — always validate in a staging CEN attachment first.
  • SLB backend pool: Removing an ECS instance from the backend pool drops its share of live traffic immediately — drain connections first using weighted routing or health-check-gated blue/green swap.
  • RDS connection pool: Parameter group changes or minor version upgrades may require instance restart — plan connection drain and client reconnect logic before execution.
  • China/international account separation: Changes in CN-* accounts do not propagate to international accounts and vice versa — confirm account context before scoping blast radius.

Read the full file on GitHub · 64 lines

Files

What ships with it

3 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 · 64 lines · 53 tokens per session scan A 94a0a45f6ad8

Subscribe to this mod's changes

alibaba-change-impact-advisor is a skill published in the GitHub repository VincentChuWaiChow/vanguard-frontier-agentic (22 stars, last pushed yesterday), licensed Apache-2.0. It adds 53 tokens to every session and 730 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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