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 faberlens/hardened-skills --skill hubspot-hardenedgit clone --depth 1 https://github.com/faberlens/hardened-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/faberlens/hardened-skills/hubspot-hardened)<a href="https://agentmods.dev/skills/faberlens/hardened-skills/hubspot-hardened"><img src="https://agentmods.dev/badge/skills/faberlens/hardened-skills/hubspot-hardened/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/faberlens/hardened-skills/hubspot-hardened"><img src="https://agentmods.dev/badge/skills/faberlens/hardened-skills/hubspot-hardened.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00026 | $0.02787 |
| Opus 5 | $0.00013 | $0.01393 |
| Sonnet 5 | $0.00005 | $0.00557 |
| Haiku 4.5 | $0.00003 | $0.00279 |
Grade A, and why
hubspot-hardened scanned grade A with 1 finding 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 9d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
metadata: {"clawdbot":{"emoji":"📊","requires":{"bins":["curl","jq"],"env":["HUBSPOT_ACCESS_TOKEN"]},"primaryEnv":"HUBSPOT_ACCESS_TOKEN"}} How it starts
The opening of the file, as written. The whole thing — 314 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HubSpot Skill
Interact with HubSpot CRM and CMS via the REST API.
Setup
Set your HubSpot Private App access token:
HUBSPOT_ACCESS_TOKEN=pat-na2-xxxxx
API Base
All endpoints use: https://api.hubapi.com
Authorization header: Bearer $HUBSPOT_ACCESS_TOKEN
CRM Objects
Contacts
Create contact:
curl -s -X POST -H "Authorization: Bearer $HUBSPOT_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"properties":{"email":"[email protected]","firstname":"Test","lastname":"User","phone":"555-1234","company":"Acme Inc","jobtitle":"Manager"}}' \
"https://api.hubapi.com/crm/v3/objects/contacts" | jq
List contacts:
curl -s -H "Authorization: Bearer $HUBSPOT_ACCESS_TOKEN" \
"https://api.hubapi.com/crm/v3/objects/contacts?limit=10" | jq
Search contacts:
curl -s -X POST -H "Authorization: Bearer $HUBSPOT_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"filterGroups":[{"filters":[{"propertyName":"email","operator":"CONTAINS_TOKEN","value":"example.com"}]}],"limit":10}' \
"https://api.hubapi.com/crm/v3/objects/contacts/search" | jq
Get contact by ID:
curl -s -H "Authorization: Bearer $HUBSPOT_ACCESS_TOKEN" \
"https://api.hubapi.com/crm/v3/objects/contacts/{contactId}?properties=email,firstname,lastname,phone,company" | jq
Get contact by email:
curl -s -H "Authorization: Bearer $HUBSPOT_ACCESS_TOKEN" \
"https://api.hubapi.com/crm/v3/objects/contacts/{email}?idProperty=email" | jq
Companies
List companies:
curl -s -H "Authorization: Bearer $HUBSPOT_ACCESS_TOKEN" \
"https://api.hubapi.com/crm/v3/objects/companies?limit=10&properties=name,domain,industry" | jq
Search companies:
curl -s -X POST -H "Authorization: Bearer $HUBSPOT_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"filterGroups":[{"filters":[{"propertyName":"name","operator":"CONTAINS_TOKEN","value":"acme"}]}],"limit":10}' \
"https://api.hubapi.com/crm/v3/objects/companies/search" | jq
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 314 lines · 26 tokens per session scan A d4f4c1b0fc67
hubspot-hardened is a skill published in the GitHub repository faberlens/hardened-skills (23 stars, last pushed 4mo ago), licensed MIT. It adds 26 tokens to every session and 2,787 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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