crm-data-quality

crm-data-quality is a skill for Claude Code, Codex from HubSpot/agent-cli-skills. It costs 47 tokens per session (1,771 once invoked), scanned A, original, Apache-2.0.

A guide for checking and cleaning HubSpot CRM records, including contacts, companies, deals, and custom record types. It covers missing values, inconsistent field values, duplicate records, and custom-field reviews.

In plain words
What is it for?
Use it to find records missing email, phone, or owner details; standardize field values; merge duplicate HubSpot records; and inspect custom properties in bulk.
Why use it?
It removes the manual work and guesswork involved in finding incomplete records and making large, safe changes. It also uses previews and confirmation steps before bulk updates or merges.

Skill for Claude CodeCodex

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

Good fit Use it to find records missing email, phone, or owner details; standardize field values; merge duplicate HubSpot records; and inspect custom properties in bulk.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hubspot/agent-cli-skills/crm-data-quality
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 HubSpot/agent-cli-skills --skill crm-data-quality
Clone the repo
git clone --depth 1 https://github.com/HubSpot/agent-cli-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 crm-data-quality

README.md
[![agentmods](https://agentmods.dev/badge/skills/hubspot/agent-cli-skills/crm-data-quality/github.svg)](https://agentmods.dev/skills/hubspot/agent-cli-skills/crm-data-quality)
Your own site
<a href="https://agentmods.dev/skills/hubspot/agent-cli-skills/crm-data-quality"><img src="https://agentmods.dev/badge/skills/hubspot/agent-cli-skills/crm-data-quality/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 crm-data-quality

Your own site · 80×15
<a href="https://agentmods.dev/skills/hubspot/agent-cli-skills/crm-data-quality"><img src="https://agentmods.dev/badge/skills/hubspot/agent-cli-skills/crm-data-quality.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,771 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
  • Socket pass 1 Oct 2026
  • Snyk warn 1 Oct 2026
  • 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 $0.00047 $0.01771
Opus 5.5 $0.00019 $0.00708
Sonnet 5.5 $0.00009 $0.00354
Haiku 4.5 $0.00005 $0.00177

Measured 1mo ago against content hash 221ac202ff67, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

crm-data-quality 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 1mo 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.

crm-data-quality/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Read bulk-operations/SKILL.md first — JSONL piping, batch read, pagination, and dry-run/digest/confirm gating apply to every command below.

Property discovery

Don't guess property names. List them:

hubspot properties list --type contacts --format table
hubspot properties list --type contacts | jq -c 'select(.type=="enumeration") | {name, label}'

Same for --type companies, deals, or any custom type (hubspot objects types).

1. Find incomplete records

!name = NOT_HAS_PROPERTY (missing or empty). Bare name = HAS_PROPERTY. Within one --filter, chain with AND; multiple --filter flags are OR'd.

hubspot objects search --type contacts --filter "!email" --properties firstname,lastname,company
hubspot objects search --type contacts --filter "!phone AND !mobilephone" --properties email
hubspot objects search --type contacts --filter "!hubspot_owner_id" --properties email,lifecyclestage

For >100 results, use the pagination loop from bulk-operations.

2. Normalize field values

Search → reshape with jq → pipe into update. objects update is irreversible, so --dry-run first — the dry-run → digest → confirm flow is required at every row count, not just >100 (bulk-operations covers it end to end). Reshape patterns: bulk-operations/resources/json-patterns.md.

# Collapse spellings into one canonical value — 1. preview
hubspot objects search --type contacts --filter "company~acme" \
| jq -c '{id, properties:{company:"Acme Corporation"}}' \
| hubspot objects update --type contacts --dry-run \
| tee /tmp/normalize.preview.jsonl

# 2. lift the digest + confirm (present at every row count)
digest=$(jq -r 'select(.digest != null) | .digest' /tmp/normalize.preview.jsonl)
confirm=$(jq -r 'select(.digest != null) | .target.id' /tmp/normalize.preview.jsonl)   # single: record ID; batch of 2+: row count

# 3. execute — re-pipe the SAME inputs plus --digest/--confirm
hubspot objects search --type contacts --filter "company~acme" \
| jq -c '{id, properties:{company:"Acme Corporation"}}' \
| hubspot objects update --type contacts --digest "$digest" --confirm "$confirm"

# Lowercase emails (read, reshape, write) — 1. preview
hubspot objects search --type contacts --filter "email" --properties email \
| jq -c '{id, properties:{email: (.properties.email | ascii_downcase)}}' \
| hubspot objects update --type contacts --dry-run \
| tee /tmp/lower.preview.jsonl

# 2. lift the digest + confirm, then 3. re-pipe the SAME inputs to execute
digest=$(jq -r 'select(.digest != null) | .digest' /tmp/lower.preview.jsonl)
confirm=$(jq -r 'select(.digest != null) | .target.id' /tmp/lower.preview.jsonl)
hubspot objects search --type contacts --filter "email" --properties email \
| jq -c '{id, properties:{email: (.properties.email | ascii_downcase)}}' \
| hubspot objects update --type contacts --digest "$digest" --confirm "$confirm"

Read the full file on GitHub · 135 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. 1mo ago Changed · +34 lines 221ac202ff67
  2. 2mo ago First seen · 101 lines · 47 tokens per session scan A 5c51e00fb3ad

Subscribe to this mod's changes

crm-data-quality is a skill published in the GitHub repository HubSpot/agent-cli-skills (28 stars, last pushed 9d ago), licensed Apache-2.0. It adds 47 tokens to every session and 1,771 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 2026-08-30.

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