Install
$ agentstack add skill-tomgranot-hubspot-admin-skills-cleanup-deals ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ● Environment & secrets Used
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Cleanup Deals
Standardize deal data to make pipeline reporting accurate. Test deals, missing amounts, and stale opportunities distort forecasts and pipeline metrics.
Prerequisites
- HubSpot API token in
.env - Python with
hubspot-api-clientinstalled viauv - Knowledge of which deal pipelines are active and which are synced from Salesforce
Important: Salesforce Sync Considerations
If deals are synced from Salesforce:
- Do NOT delete or modify synced deals without coordinating with the Salesforce admin.
- Changes in HubSpot may sync back to Salesforce and cause data loss.
- Identify synced deals by checking for the
hs_salesforceopportunityidproperty.
Step-by-Step Instructions
Stage 1: Before — Audit Deal Data
Pull deal metrics via the API:
from hubspot import HubSpot
from hubspot.crm.deals import PublicObjectSearchRequest
api_client = HubSpot(access_token=os.getenv("HUBSPOT_API_TOKEN"))
# Deals missing amount
no_amount = PublicObjectSearchRequest(
filter_groups=[{
"filters": [{
"propertyName": "amount",
"operator": "NOT_HAS_PROPERTY"
}]
}]
)
# Deals missing close date
no_close = PublicObjectSearchRequest(
filter_groups=[{
"filters": [{
"propertyName": "closedate",
"operator": "NOT_HAS_PROPERTY"
}]
}]
)
Record: total deals, deals per pipeline stage, deals missing amount, deals missing close date, stale deals (open with no activity in 60+ days).
Stage 2: Execute — Clean Up
- Delete test deals — search for deals with names containing "test", "demo", "sample", or with amount = $0 and no associated contacts.
- Address missing amounts — export deals without
amountand work with sales to fill in values or mark as lost. - Close stale deals — deals open with no activity in 90+ days should be reviewed with the deal owner. Set to "Closed Lost" if abandoned.
- Standardize pipeline stages — ensure all pipelines have consistent stage names and probability percentages.
- Remove unused pipelines — if a pipeline has zero active deals and is not in use, archive or delete it.
Stage 3: After — Verify
- Re-run the deal audit queries. Confirm:
- Test deals removed
- Missing amount count decreased
- Stale deal count decreased
- Check pipeline reports for accuracy.
Stage 4: Rollback
- Deleted deals can be restored from HubSpot's recycling bin within 90 days.
- Stage changes and property updates can be reverted manually but there is no bulk undo.
- For Salesforce-synced deals, check the Salesforce recycle bin as well.
Tips
- Establish a deal hygiene rule: deals without activity for 60 days get an automated reminder to the owner (build a simple workflow).
- Require
amountandclosedateas mandatory deal properties to prevent future gaps.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: TomGranot
- Source: TomGranot/hubspot-admin-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.