HubspotCAUTION
A framework for building agentic apps
Overview
A framework for building agentic apps
d31edd75948aOBSERVED · 2026-10-14What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: hubspot
description: >
Query HubSpot CRM for deals, contacts, companies, and sales metrics.
Use this skill when the user asks about sales pipeline, deal status, or customer CRM data.
---
# HubSpot CRM Integration
## Connection
- **Base URL**: `https://api.hubapi.com`
- **Auth**: `Authorization: Bearer $HUBSPOT_PRIVATE_APP_TOKEN` or legacy
`HUBSPOT_ACCESS_TOKEN`
- **Env vars**: `HUBSPOT_PRIVATE_APP_TOKEN` preferred,
`HUBSPOT_ACCESS_TOKEN` legacy
- **Caching**: 10-minute in-memory cache, max 120 entries
## Server Lib
- **File**: `server/lib/hubspot.ts`
### Exported Functions
| Function | Description |
| ------------------------------------------------ | ------------------------------------ |
| `getDealPipelines()` | All deal pipelines with stages |
| `getVisiblePipelines(pipelines)` | Filter to visible pipelines |
| `getMetricsPipelines(pipelines)` | Filter to metrics-relevant pipelines |
| `getDealProperties()` | HubSpot deal property metadata |
| `getAllDeals(extraProperties?)` | All deals (paginated, up to ~10k) |
| `getDealOwners()` | HubSpot owner id → owner name map |
| `computeSalesMetrics(deals, pipelines, filter?)` | Compute won/lost/pipeline metrics |
## Script Usage
```bash
# Search deals for a named account/deal
pnpm action hubspot-deals --query="Example Corp" --limit=10 --properties=dealname,amount,dealstage
# Structured cohort: products field = Publish, closed-won New Business deals
pnpm action hubspot-deals --product=Publish --pipeline="New Business" --closedStatus=won --closedDateFrom=2025-06-01 --closedDateTo=2026-06-01
# List deals
pnpm action hubspot-deals --properties=dealname,amount,dealstage
# Find custom fields before requesting them
pnpm action hubspot-deal-properties --search=nbm
```
## Key Patterns & Gotchas
- `getAllDeals` paginates using `limit=100` and HubSpot `after` token (up to 100 pages)
- `hubspot-deals --query="Customer"` uses HubSpot search and should be the first path for named account/deal deep dives. Avoid pulling every deal first.
- For deal cohorts, use structured `hubspot-deals` filters (`product`, `pipeline`, `closedStatus`, `closedDateFrom`, `closedDateTo`) and report the returned filters/count in the methodology.
- Do not use `query` for property-specific filters. `query="Publish"` is broad full-text search across deals and can include records where `products` is not Publish.
- If `hubspot-deals` cannot express the needed CRM endpoint/filter/body/pagination, use `provider-api-catalog --provider=hubspot`, optionally `provider-api-docs`, then `provider-api-request --provider=hubspot` with the exact HubSpot API request.
- `hubspot-deals` returns normalized `stage_name`, `pipeline_name`, `owner_name`, `is_closed_won`, and `is_deal_closed` fields under `deal.properties`
- For AE QBR or NBM deck work, HubSpot is the source of truth. Request `nbm_meeting_booked_date`, `nbm_meeting_complete_date`, and `hs_manual_forecast_category` through `hubspot-deals`; do not use warehouse SQL as the first path unless HubSpot is unavailable and the user approves the fallback
- Optional deal properties are filtered against HubSpot property metadata before fetching, so deployments without a custom field do not fail the whole action
- The default deal fetch includes the hard-coded `hs_v2_date_entered` stage property names with embedded stage IDs when they exist in the connected portal
- `computeSalesMetrics` infers won/lost stages from probability metadata or label text; identifies POV stages by names containing "proof of value", "pov", "poc"
- When looking up a customer, search deals by name, then get associated company via `/crm/v3/objects/deals/{id}/associations/companies`, then contacts via `/crm/v3/objects/companies/{id}/associations/contacts`
## HubSpot Company Properties (BigQuery staging table)
Table: `your-project-id.dbt_staging.hubspot_companies`
- `company_name`, `company_id`, `company_domain_name`
- `upcoming_renewal_date`, `customer_stage`, `hs_csm_sentiment`
- `company_owner_name`, `root_org_id`
- `customer_segmentation`, `current_enterprise_arr`, `company_status`
## Cross-Reference
- HubSpot company → contacts → `dim_hs_contacts.builder_user_id` → BigQuery usage data
- HubSpot deal → company → Pylon support tickets, Gong sales callsTrust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (5)
.agents/skills/an
.agents/skills/content-product-development
.agents/skills/design-exploration
.agents/skills/turn-into-app
.agents/skills/visual-edit
Gates applied: no_behavioural_pass.
d31edd75948afull audit observations/trust-audit/skill/builderio__hubspot.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-14 | d31edd75948a | CAUTION | B | 89 | first audit |
Questions
What does the Hubspot skill do?
A framework for building agentic apps
Is Hubspot safe to install?
With care. The audit graded it B (89/100) and found 5 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can Hubspot access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (d31edd75948a), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.
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