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 swan-gtm/gtm-skills --skill multi-thread-dealsgit clone --depth 1 https://github.com/swan-gtm/gtm-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/swan-gtm/gtm-skills/multi-thread-deals)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/multi-thread-deals"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/multi-thread-deals/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/swan-gtm/gtm-skills/multi-thread-deals"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/multi-thread-deals.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00035 | $0.01104 |
| Opus 5 | $0.00017 | $0.00552 |
| Sonnet 5 | $0.00007 | $0.00221 |
| Haiku 4.5 | $0.00003 | $0.00110 |
Grade A, and why
multi-thread-deals 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.
How it starts
The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Instructions
State check. This skill assumes funnel stages and deal data are available, and that the org has a buying-committee persona model defined. Load funnel stages and recent deals via the CRM, and check that personas exist. If funnel stages aren't defined or no CRM is connected, route the user to pipeline review setup first. If personas aren't defined, surface that — without a buying committee model this skill can't tell which roles are missing.
What this skill does
Find single-threaded (or under-threaded) open deals. Identify the missing persona(s) per deal. Find the right contact at the company for each missing persona. Recommend an introduction or direct outreach.
Step 1 — Find under-threaded deals
hubspot-search-objects (object: deals) filtered to open mid-to-late-stage, owner = user (or org-wide). Page size 20.
For each deal, pull associated contacts via hubspot-get-engagements. Count contacts with engagement in the last 30 days. Flag deals with:
- Critically thin — 1 active contact.
- Thin — 2 active contacts.
- OK — 3+ active contacts.
Keep critically thin and thin deals for the analysis. Discard OK ones.
Step 2 — Identify the missing personas
Load the buying committee from swan-get-memory — economic buyer, technical evaluator, end user, champion.
For each thin deal, check which personas are already engaged (match contact titles against persona definitions). Surface the gap:
- "Acme deal: champion engaged (Sarah, RevOps). Economic buyer NOT engaged. Technical evaluator NOT engaged."
If the org doesn't have personas defined, route to persona-builder first — this skill needs the buying committee to know what's missing.
Step 3 — Find the right contact per missing persona
For each missing persona on each deal, run swan-search-employees on the company with the persona's title filter. Free preview, no enrichment yet.
Pick the best match: usually the most senior person matching the persona who isn't already engaged. If multiple candidates, prefer:
- Direct counterparts to already-engaged contacts (same level, complementary function).
- Anyone who's shown intent signals (visited site, engaged with social).
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 · 110 lines · 35 tokens per session scan A 9c0b93c3ed03
multi-thread-deals is a skill published in the GitHub repository swan-gtm/gtm-skills (153 stars, last pushed 2d ago), licensed MIT. It adds 35 tokens to every session and 1,104 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.
Other skills, from other repositories
Brand Partnership Negotiator
Negotiate and structure brand partnerships and co-marketing deals.
Negotiation Expert
Negotiation Expert delivers practical business output with market context, metrics, stakeholder clarity, and execution focus.
groupon
Search and read Groupon deals from the terminal via curl — the consumer GraphQL API (deal search/browse, deal detail, category taxonomy). Anonymous, no key or login. Use when asked to find Groupon deals, look up a specific deal, or browse a city's offers.
Pipedrive Automation
Automate Pipedrive CRM workflows including deal management, pipeline tracking, and sales reporting.
BytesAgain Shopping Deals — 全能购物比价与隐藏优惠券助手
A shopping search and comparison tool for JD.com, Taobao, Amazon Japan, AliExpress, and Pinduoduo. It also looks for coupons and can create commission links.
deal-tracker
Track pharmaceutical M&A, licensing, and investment deals. Use for competitive intelligence, market analysis, and identifying partnership opportunities. Keywords: deals, M&A, licensing, partnership, collaboration, acquisition, pharma deals.