exploring-tables

exploring-tables is a skill for Claude Code from jschuller/mcp-server-servicenow. It costs 71 tokens per session (963 once invoked), scanned A, original, MIT.

A ServiceNow table exploration guide for inspecting a table's structure and example records. ServiceNow is a platform where applications store data in tables linked by reference fields.

In plain words
What is it for?
Use it to inspect or compare ServiceNow tables, including field types, required fields, dropdown choices, links to other tables, sample records, and data patterns.
Why use it?
It removes the guesswork involved in understanding unfamiliar ServiceNow data. You can see which fields exist, what they contain, which are required, and how tables connect.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the servicenow plugin — 4 skills, 4 commands, 1 agent, 1 MCP server shipped together

Good fit Use it to inspect or compare ServiceNow tables, including field types, required fields, dropdown choices, links to other tables, sample records, and data patterns.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jschuller/mcp-server-servicenow/exploring-tables
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 exploring-tables
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, 4 commands, 1 agent, 1 MCP server.

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 exploring-tables

README.md
[![agentmods](https://agentmods.dev/badge/skills/jschuller/mcp-server-servicenow/exploring-tables/github.svg)](https://agentmods.dev/skills/jschuller/mcp-server-servicenow/exploring-tables)
Your own site
<a href="https://agentmods.dev/skills/jschuller/mcp-server-servicenow/exploring-tables"><img src="https://agentmods.dev/badge/skills/jschuller/mcp-server-servicenow/exploring-tables/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 exploring-tables

Your own site · 80×15
<a href="https://agentmods.dev/skills/jschuller/mcp-server-servicenow/exploring-tables"><img src="https://agentmods.dev/badge/skills/jschuller/mcp-server-servicenow/exploring-tables.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 963 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 $0.00071 $0.00963
Opus 5 $0.00036 $0.00481
Sonnet 5 $0.00014 $0.00193
Haiku 4.5 $0.00007 $0.00096

Measured 9d ago against content hash 9d532902633f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

exploring-tables 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 9d 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/exploring-tables/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Exploring ServiceNow Tables

General-purpose table exploration — schema discovery, data profiling, and table comparison.

Workflows

1. Explore a Table

Get the full picture of any ServiceNow table.

Progress checklist (copy into your response):

- [ ] Get table schema
- [ ] Pull sample records
- [ ] Summarize field types, mandatory fields, reference fields
  1. Get the table schema (field definitions, types, mandatory flags):
    get_table_schema(table_name="<table_name>")
    
  2. Pull sample records to see real data:
    list_records(table_name="<table_name>", limit=5)
    
  3. Summarize:
    • Total field count and types (string, integer, reference, boolean, etc.)
    • Mandatory fields (the ones users must populate)
    • Reference fields (links to other tables — these define relationships)
    • Choice fields (fields with dropdown values)

2. Compare Tables

Side-by-side schema comparison between two related tables.

Progress checklist:

- [ ] Get schema for table A
- [ ] Get schema for table B
- [ ] Compare field overlap and differences
  1. Get schemas for both tables:
    get_table_schema(table_name="<table_a>")
    get_table_schema(table_name="<table_b>")
    
  2. Compare:
    • Fields present in both (shared/inherited from a common parent)
    • Fields unique to each table
    • Differences in field types or mandatory flags
    • Reference field targets

3. Find Tables

Discover tables matching a keyword by querying sys_db_object.

Progress checklist:

- [ ] Query sys_db_object for matching tables
- [ ] Get record counts for top matches
- [ ] Summarize results
  1. Search for tables by name or label:
    list_records(table_name="sys_db_object", query="nameLIKE<keyword>", fields="name,label,super_class,sys_id", limit=20)
    
  2. For top matches, get a sample record to confirm the table has data:
    list_records(table_name="<matched_table>", limit=1)
    
  3. Summarize: table name, label, parent class, whether it has data.

Read the full file on GitHub · 120 lines

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. 9d ago First seen · 120 lines · 71 tokens per session scan A 9d532902633f

Subscribe to this mod's changes

exploring-tables is a skill published in the GitHub repository jschuller/mcp-server-servicenow (17 stars, last pushed today), licensed MIT. It adds 71 tokens to every session and 963 once invoked, about $0.0004 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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