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 matteotitta/genesys-skills --skill linkedin-prospecting-loopgit clone --depth 1 https://github.com/matteotitta/genesys-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/matteotitta/genesys-skills/linkedin-prospecting-loop)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/linkedin-prospecting-loop"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/linkedin-prospecting-loop/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/matteotitta/genesys-skills/linkedin-prospecting-loop"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/linkedin-prospecting-loop.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 | $0.00176 | $0.02389 |
| Opus 5 | $0.00088 | $0.01195 |
| Sonnet 5 | $0.00035 | $0.00478 |
| Haiku 4.5 | $0.00018 | $0.00239 |
Grade A, and why
linkedin-prospecting-loop 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn prospecting loop
One approved motion that turns an ICP into a sequenced LinkedIn outbound run. It does not add a new capability — it chains the ones you already own (find, qualify, personalize, sequence, multi-channel) behind a human gate at every phase, so a run stops being five skills stitched by hand.
Built from the /steal of Gojiberry's "Connect Claude to LinkedIn via MCP" playbook. The playbook's execution layer was a paid vendor MCP; this skill runs the same motion on Extrovert + Apify + Apollo instead. See .claude/discovery/0626-gojiberry-linkedin-mcp-steal-analysis.md.
Doctrine inherited
Output complies with:
output-tenets.md— the seven tenetsoutput-simplicity.md— length caps, robot-tells banoutbound-research-hygiene.md— dated signals (<12 months), current-company-only hooks, no invented statsai-speak-anti-patterns.md— the 12 patterns DMs can't carrylinkedin-cold-dm-doctrine.md— the cold-start motion: 9 tactics, connection/InMail envelope, "easy no" cadencemarketing-psychology.md— Rule of 7 (touch count), loss aversion, jobs-to-be-donepii-redaction.md— mask end-client PII before model/store/share (fires on ClientCo/FCA data)
When to run
Invoke when the user says:
- "run a LinkedIn prospecting loop for [ICP/client]"
- "find, qualify, message and sequence [segment] on LinkedIn"
- "build me a cold LinkedIn outbound run end to end"
Do NOT invoke when:
- One-off warm DM off a single signal →
linkedin-social-selling - Pure prospect-find with no sequencing →
linkedin-engagement-prospects - Writing LinkedIn content → the
linkedin-*content skills - Email-only outreach →
outreach-emails
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 · 175 lines · 176 tokens per session scan A 6d8da2d84c97
linkedin-prospecting-loop is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 176 tokens to every session and 2,389 once invoked, about $0.0009 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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