reviewing-update-sets

reviewing-update-sets is a skill for Claude Code from jschuller/mcp-server-servicenow. It costs 82 tokens per session (1,977 once invoked), scanned A, original, MIT.

A review tool for ServiceNow update sets, which are bundles of platform configuration and code changes moved between environments.

In plain words
What is it for?
Listing and comparing update sets, examining their changes, categorizing risks, and checking items such as permissions, scripts, and schema changes.
Why use it?
It helps teams see what will change before promotion, including risks, dependencies, and conflicts. This reduces surprises when changes move toward deployment.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the servicenow plugin — 4 skills, 1 MCP server, 3 plugins shipped together

Good fit Listing and comparing update sets, examining their changes, categorizing risks, and checking items such as permissions, scripts, and schema changes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jschuller/mcp-server-servicenow/reviewing-update-sets
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 jschuller/mcp-server-servicenow --skill reviewing-update-sets
Clone the repo
git clone --depth 1 https://github.com/jschuller/mcp-server-servicenow

Made for: Claude Code.

Or install servicenow, the plugin that ships this one along with the rest of its 4 skills, 1 MCP server, 3 plugins.

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 reviewing-update-sets

README.md
[![agentmods](https://agentmods.dev/badge/skills/jschuller/mcp-server-servicenow/reviewing-update-sets/github.svg)](https://agentmods.dev/skills/jschuller/mcp-server-servicenow/reviewing-update-sets)
Your own site
<a href="https://agentmods.dev/skills/jschuller/mcp-server-servicenow/reviewing-update-sets"><img src="https://agentmods.dev/badge/skills/jschuller/mcp-server-servicenow/reviewing-update-sets/github.svg" alt="Measured on agentmods" height="20"></a>

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 reviewing-update-sets

Your own site · 80×15
<a href="https://agentmods.dev/skills/jschuller/mcp-server-servicenow/reviewing-update-sets"><img src="https://agentmods.dev/badge/skills/jschuller/mcp-server-servicenow/reviewing-update-sets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,977 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 $0.00082 $0.01977
Opus 5.5 $0.00033 $0.00791
Sonnet 5.5 $0.00016 $0.00395
Haiku 4.5 $0.00008 $0.00198

Measured 13d ago against content hash e7162c5b8d81, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

reviewing-update-sets 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 13d 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.

src/servicenow_mcp/skills/reviewing-update-sets/SKILL.md · 183 lines

How it starts

The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reviewing ServiceNow Update Sets

Review, analyze, and compare update sets before promotion, and read the preview problems of retrieved (remote) update sets. See references/update-set-fields.md for update types, risk categories, preview problem types and pre-promotion checklist fields.

Tables and roles

This skill needs an admin-level identity. Every table it reads returns 403 or no rows for itil + snc_read_only.

Table What it holds
sys_update_set Local update sets
sys_update_xml One row per captured change
sys_remote_update_set Update sets retrieved from another instance, with a state and a collisions count
sys_update_preview_problem Problems a preview found for a retrieved set
sys_update_version Version history of each customised record

When access is denied

  • 403 on sys_update_set (or list_update_sets fails): the review is not assessable with this identity. Say an admin-level identity is needed, configured in the MCP server by whoever runs it, and stop rather than guess. Never ask for credentials or tokens in the conversation.
  • 0 rows from sys_update_preview_problem: either nothing was found or the rows are hidden. Check the set's collisions count and state before calling a set clean.

Workflows

1. List & Summarize Update Sets

Get an overview of update sets by state with change counts.

Progress checklist (copy into your response):

- [ ] List update sets by state
- [ ] Get change counts for each
- [ ] Summarize by developer and state
  1. List update sets by state:
    list_update_sets(state="in progress", limit=20)
    list_update_sets(state="complete", limit=20)
    
  2. For each update set, get the change count:
    list_update_set_changes(update_set_sys_id="<sys_id>", limit=1)
    
  3. Summarize: name, state, developer, change count, last modified date.
  4. Batch review (all sets in one state, e.g. everything "complete" awaiting promotion): for each set run the Deep Review steps below in brief — categorize changes by type, flag high-risk items — then check for cross-set conflicts (the same target_name / name in sys_update_xml across two sets), give each set a promotion-readiness verdict, and recommend a promotion order that respects dependencies.

Read the full file on GitHub · 183 lines

Files

What ships with it

1 file 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. 13d ago Changed · +52 lines e7162c5b8d81
  2. 15d ago Changed · +2 lines · +5 tokens per session 034cd888b904
  3. 1mo ago First seen · 129 lines · 77 tokens per session scan A ae46c9be7ad1

Subscribe to this mod's changes

reviewing-update-sets is a skill published in the GitHub repository jschuller/mcp-server-servicenow (26 stars, last pushed 5d ago), licensed MIT. It adds 82 tokens to every session and 1,977 once invoked, about $0.0003 per session on Opus 5.5. 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.