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.
npx skills add HubSpot/agent-cli-skills --skill crm-data-qualitygit clone --depth 1 https://github.com/HubSpot/agent-cli-skillsWrote 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.
[](https://agentmods.dev/skills/hubspot/agent-cli-skills/crm-data-quality)<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.
<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>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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"
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.
- 1mo ago Changed · +34 lines 221ac202ff67
- 2mo ago First seen · 101 lines · 47 tokens per session scan A 5c51e00fb3ad
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.
crm-data-quality compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| crm-data-qualityHubSpot/agent-cli-skills | Skill | 28 | 9d ago | Apache-2.0 | A | 47 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |