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job-title-normalization

job-title-normalization is a skill for Claude Code, Codex from spiralcrew-ou/profilespider-agent-skills. It costs 44 tokens per session (411 once invoked), scanned A, original, MIT.

A data-cleaning skill that turns free-text job titles into consistent role, department, and seniority labels while keeping the original title.

In plain words
What is it for?
Use it to clean contact lists, group people by role or department, filter by seniority, and route records using a supplied taxonomy.
Why use it?
Different sources often name the same job in different ways, making filtering, grouping, and targeting unreliable. It provides consistent fields and flags uncertain matches.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 11repo 4mo ago A scan 44 tokens original MIT

Good fit Use it to clean contact lists, group people by role or department, filter by seniority, and route records using a supplied taxonomy.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/spiralcrew-ou/profilespider-agent-skills/job-title-normalization
View source ↗ spiralcrew-ou/profilespider-agent-skills profilespider.com
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 spiralcrew-ou/profilespider-agent-skills --skill job-title-normalization
Clone the repo
git clone --depth 1 https://github.com/spiralcrew-ou/profilespider-agent-skills

Made for: Claude Code, Codex.

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 job-title-normalization

README.md
[![agentmods](https://agentmods.dev/badge/skills/spiralcrew-ou/profilespider-agent-skills/job-title-normalization/github.svg)](https://agentmods.dev/skills/spiralcrew-ou/profilespider-agent-skills/job-title-normalization)
Your own site
<a href="https://agentmods.dev/skills/spiralcrew-ou/profilespider-agent-skills/job-title-normalization"><img src="https://agentmods.dev/badge/skills/spiralcrew-ou/profilespider-agent-skills/job-title-normalization/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 job-title-normalization

Your own site · 80×15
<a href="https://agentmods.dev/skills/spiralcrew-ou/profilespider-agent-skills/job-title-normalization"><img src="https://agentmods.dev/badge/skills/spiralcrew-ou/profilespider-agent-skills/job-title-normalization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 411 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.
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 $0.00044 $0.00411
Opus 5.5 $0.00018 $0.00164
Sonnet 5.5 $0.00009 $0.00082
Haiku 4.5 $0.00004 $0.00041

Measured 2mo ago against content hash 8e58eb201ac2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

job-title-normalization 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 2mo 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.

job-title-normalization/SKILL.md · 83 lines

What it actually says

Job Title Normalization

Purpose

Convert inconsistent job titles into standardized role, department, and seniority labels.

When to use this skill

  • Standardizing titles for segmentation or routing
  • Filtering a list by seniority reliably
  • Mapping titles to departments for targeting
  • Cleaning multi-source contact data

When not to use this skill

  • The records have no title field
  • Titles are in languages you have not configured
  • You need verified org-chart data

Required inputs

  • Records containing job titles

Optional inputs

  • A role-family taxonomy
  • A seniority scale
  • Department definitions

Rules

  1. Map to the supplied taxonomy and scale when provided.
  2. Preserve the original title.
  3. Report confidence and ambiguity.
  4. Do not invent seniority not implied by the title.
  5. Be consistent across identical titles.

Process

  1. Parse each title.
  2. Map to role family and department.
  3. Assign seniority.
  4. Record confidence and ambiguity.
  5. Output original and normalized values.

Output format

Return one record per title with the following fields:

  • original_title
  • normalized_title
  • role_family
  • department
  • seniority
  • confidence
  • ambiguity_notes

Validation

  • Confirm identical titles map identically.
  • Confirm low-confidence rows are flagged.
  • Confirm seniority is implied by the title.

Limitations

  • Titles vary by company; mapping is heuristic.
  • Inflated or vague titles may misstate seniority.
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. 2mo ago First seen · 83 lines · 44 tokens per session scan A 8e58eb201ac2

Subscribe to this mod's changes

job-title-normalization is a skill published in the GitHub repository spiralcrew-ou/profilespider-agent-skills (11 stars, last pushed 4mo ago), licensed MIT. It adds 44 tokens to every session and 411 once invoked, about $0.0002 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 2026-08-31.

Claude CodeMarketing and SEOagent-skillsai-agentsdata-enrichmentlead-generationmcp
Related

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job-title-normalization next to 6 skills from other repositories
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