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 fanfan-de/anybox --skill hubspot-customer-prepgit clone --depth 1 https://github.com/fanfan-de/anyboxWrote 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/fanfan-de/anybox/hubspot-customer-prep)<a href="https://agentmods.dev/skills/fanfan-de/anybox/hubspot-customer-prep"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/hubspot-customer-prep/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/fanfan-de/anybox/hubspot-customer-prep"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/hubspot-customer-prep.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 | $0.00037 | $0.00316 |
| Opus 5 | $0.00018 | $0.00158 |
| Sonnet 5 | $0.00007 | $0.00063 |
| Haiku 4.5 | $0.00004 | $0.00032 |
Grade A, and why
hubspot-customer-prep 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 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.
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.
What it actually says
HubSpot Customer Prep
Assemble a customer-ready brief while separating CRM facts from inferred recommendations. Follow ../hubspot/SKILL.md for access, URLs, pagination, and write approvals.
Workflow
- Call
get_user_detailsand confirm read access to the needed object types. - Clarify seed record and goal: company, contact, deal, ticket, meeting type, attendees, date, and desired outcome.
- Find the seed record with
search_crm_objectsusing name, domain, email, deal name, or ticket subject. If multiple records match, return a disambiguation list with URLs. - Discover properties with
search_properties: company owner/lifecycle/domain; contact title/email/last contact; deal amount/stage/close date/next step; ticket status/priority/category. - Use
associatedWithsearches for related contacts, companies, deals, and tickets. Fetch selected records withget_crm_objectswhen richer fields are needed.
Brief
Return source record URLs, snapshot, people, open opportunities, support health, recommended agenda, questions to ask, follow-ups, and caveats. For tasks, next steps, associations, ownership, or stage changes, show exact proposed changes and get approval before manage_crm_objects.
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 · 21 lines · 37 tokens per session scan A 5f0d74a1f8a9
hubspot-customer-prep is a skill published in the GitHub repository fanfan-de/anybox (57 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 316 once invoked, about $0.0002 per session on Opus 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 2026-09-03.
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magpie-security-issue-import-from-md
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