Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/SELAT-AI/selat-skillsnpx agentmods add skills/selat-ai/selat-skills/sales-prospectingWrote 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/selat-ai/selat-skills/sales-prospecting)<a href="https://agentmods.dev/skills/selat-ai/selat-skills/sales-prospecting"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/sales-prospecting/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/selat-ai/selat-skills/sales-prospecting"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/sales-prospecting.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 | $0.00134 | $0.02307 |
| Opus 5.5 | $0.00054 | $0.00923 |
| Sonnet 5.5 | $0.00027 | $0.00461 |
| Haiku 4.5 | $0.00013 | $0.00231 |
Grade A, and why
sales-prospecting 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 22d 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 — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sales-prospecting
When To Use
Use for a small, bounded B2B prospecting research bundle when the requester has a legitimate business purpose and can supply both an ICP and one coherent known target company/person. The skill returns up to ten ICP company candidates, up to ten public professional candidates at the supplied company domain, one named professional cross-check, an independent deliverability verdict for a user-supplied work email, and company context.
This is a fixed five-read bundle, not an output-chained pipeline. Every step runs independently from the supplied parameters. In particular, the email verifier does not automatically consume an address returned by the professional enrichment step.
Do not use this skill for private individuals, personal-email or phone discovery, bulk harvesting, automated outreach, or CRM mutation.
Workflow
-
Collect all nine required inputs:
companyKeywords: concise ICP keywords, such asB2B SaaS;location: one target geography used by both searches;employeeRange: one provider-format range such as51,200;jobTitle: one target role, such asVP Sales;seniority: one supported value:founder,c_suite,partner,vp,head,director,manager,senior,entry, orintern;companyDomain: one bare company domain, with no scheme or path;firstNameandlastName: one known professional at that company;workEmail: one work email the requester is authorized to validate.
Confirm that the domain, named professional, work email, role, and ICP form one coherent business-research target. The work-email domain should match the company domain unless the requester explains a legitimate corporate-domain relationship. Stop before any probe if an input is missing, malformed, or incoherent.
-
Install the vetted recipe:
selat skill install sales-prospecting -
Run the free live verification before wallet setup or payment:
What ships with it
3 files 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.
- 22d ago Changed · +134 lines · +14 tokens per session 835db0a03a82
- 1mo ago Changed · -2 lines · -9 tokens per session bd6a99e8fd91
- 1mo ago First seen · 80 lines · 129 tokens per session scan A c6d3d7fc8bc1
sales-prospecting is a skill published in the GitHub repository SELAT-AI/selat-skills (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 134 tokens to every session and 2,307 once invoked, about $0.0005 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 2026-08-31.
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