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 team-ownershipgit 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/team-ownership)<a href="https://agentmods.dev/skills/hubspot/agent-cli-skills/team-ownership"><img src="https://agentmods.dev/badge/skills/hubspot/agent-cli-skills/team-ownership/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/team-ownership"><img src="https://agentmods.dev/badge/skills/hubspot/agent-cli-skills/team-ownership.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 | $0.00034 | $0.01316 |
| Opus 5.5 | $0.00014 | $0.00526 |
| Sonnet 5.5 | $0.00007 | $0.00263 |
| Haiku 4.5 | $0.00003 | $0.00132 |
Grade A, and why
team-ownership scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prereq: read bulk-operations/SKILL.md first. JSONL piping, pagination, dry-run/digest/confirm, and hubspot history recovery live there. Reshape patterns live in bulk-operations/resources/json-patterns.md.
hubspot_owner_id is a string field on contacts, companies, deals, and tickets. Owners are CRM users — hubspot owners list returns them; there is no teams object, so team-level views are client-side groupings by hubspot_owner_id.
1. Resolve email → owner ID
Never hardcode IDs — they are portal-specific. Resolve, then cache:
FROM_ID=$(hubspot owners list | jq -r 'select(.email=="[email protected]") | .id')
TO_ID=$(hubspot owners list | jq -r 'select(.email=="[email protected]") | .id')
2. Find records for an owner
Same filter across all four object types. Add object-specific --properties for context. Unowned records use the !property form.
hubspot objects search --type contacts --filter "hubspot_owner_id=$FROM_ID" --properties email,firstname,lifecyclestage
hubspot objects search --type companies --filter "hubspot_owner_id=$FROM_ID" --properties name,domain
hubspot objects search --type deals --filter "hubspot_owner_id=$FROM_ID" --properties dealname,dealstage,amount
hubspot objects search --type tickets --filter "hubspot_owner_id=$FROM_ID" --properties subject,hs_pipeline_stage
# Records with no owner at all
hubspot objects search --type deals --filter "!hubspot_owner_id" --properties dealname,amount
100 hits — page with the
--afterloop frombulk-operations. Counting only: pipe towc -l.
3. Bulk reassign — search → update
Reshape each search row into {id, properties:{hubspot_owner_id}} and pipe to objects update. objects update is irreversible, so dry-run first: the dry-run emits a digest + apply_command_hint at every size (confirm = the record ID for one record, the row count for a batch). Then re-run with --digest/--confirm (see bulk-operations/SKILL.md § "Safe destructive workflow").
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 · +5 lines 4692d0ed20e4
- 2mo ago First seen · 99 lines · 34 tokens per session scan A 311a180f0f79
team-ownership is a skill published in the GitHub repository HubSpot/agent-cli-skills (28 stars, last pushed 9d ago), licensed Apache-2.0. It adds 34 tokens to every session and 1,316 once invoked, about $0.0001 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.
team-ownership compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| team-ownershipHubSpot/agent-cli-skills | Skill | 28 | 9d ago | Apache-2.0 | A | 34 | 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 |