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 Doris-Labs/sales-skills --skill social-sellinggit clone --depth 1 https://github.com/Doris-Labs/sales-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/doris-labs/sales-skills/social-selling)<a href="https://agentmods.dev/skills/doris-labs/sales-skills/social-selling"><img src="https://agentmods.dev/badge/skills/doris-labs/sales-skills/social-selling/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/doris-labs/sales-skills/social-selling"><img src="https://agentmods.dev/badge/skills/doris-labs/sales-skills/social-selling.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 | $0.00074 | $0.01571 |
| Opus 5 | $0.00037 | $0.00785 |
| Sonnet 5 | $0.00015 | $0.00314 |
| Haiku 4.5 | $0.00007 | $0.00157 |
Grade A, and why
social-selling 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 12d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Social Selling
Purpose
Turn a cold LinkedIn profile into a warm conversation: engage with the prospect's world first, send a connection note they accept, and open with a first message that references something real — not a templated pitch they've seen a hundred times.
Inputs
- The prospect (LinkedIn URL, name + company, or profile text)
- Why you're reaching out (the trigger: their post, a role change, a mutual, an account play)
- The account context (existing deal, prior touchpoints, who else you know there)
Method
1. Profile-led engagement — warm before you pitch
Never let the connection request be the first time they've heard your name. Read the profile for hooks and engage on their terms first:
- Recent activity — posts, comments, reposts in the last 2–4 weeks. This is the highest-signal hook; it's what they care about right now.
- Role + tenure — new in role (<6 months) = openness to change; long tenure = owns the status quo.
- Career path / shared ground — past companies, schools, regions, mutual connections.
- About section + featured — the problems they self-identify with, in their words.
Warm-before-pitch rule: earn one to three touchpoints (a thoughtful comment, a relevant reaction) before the connection request. The request then lands as "the person who said that smart thing," not a stranger.
2. Content-comment cadence — engage before reaching out
Run this over 5–10 business days, not all at once:
| Day | Action |
|---|---|
| 1 | Follow (not connect). Like 1 recent post. |
| 2–3 | Leave one substantive comment on a recent post — add a point, don't praise. |
| 4–5 | React to a second post; reply if they answer your comment. |
| 6 | Send the connection request with a note (formula below). |
| 8–10 | If accepted and quiet, send first message. If ignored, keep commenting; retry the request in 3–4 weeks. |
Comment quality bar: a good comment teaches, disagrees respectfully, or adds a concrete example. "Great post!" is invisible. "We saw the opposite with X — curious if Y was a factor for you?" gets a profile click.
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.
- 12d ago First seen · 131 lines · 74 tokens per session scan A f35f9bd55b83
social-selling is a skill published in the GitHub repository Doris-Labs/sales-skills (3 stars, last pushed 3mo ago), licensed MIT. It adds 74 tokens to every session and 1,571 once invoked, about $0.0004 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 2026-08-31.
Other skills, from other repositories
lynqu
Entry point for the Lynqu sales suite — describe any sales situation and it composes the right skills across capture, outreach, quoting and reporting. Requires the Lynqu MCP server connected.
lynqu-sales-playbook
Turn a written sales playbook into a live Lynqu pipeline — contacts, timed tasks, follow-up templates, the playbook attached to each lead, and stage rules that deliver the prep at the right moment.
lynqu-card-studio
Create and update Lynqu digital business cards — contact info, social links, services, template, palette — and check card views, scans and shares. Requires the Lynqu MCP server connected.
lynqu-competitors
Build a battlecard for the incumbent on a Lynqu deal — switching cost, wedge, objections and honest answers — written back to the lead. Requires the Lynqu MCP server.
lynqu-contacts
Map the buying committee on an account — economic buyer, champion, blocker — and write it into Lynqu as contacts and participants. Requires the Lynqu MCP server.
lynqu-deal-desk
Price a Lynqu deal and draft the quote — browse the price book, put priced lines on a deal, then produce a draft quote for a human to send. Requires the Lynqu MCP server connected.