Borrowing it
Nothing to install: this file belongs to Othmane-Khadri/YALC-the-GTM-operating-system. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Othmane-Khadri/YALC-the-GTM-operating-system/main/.claude/skills/fullenrich-network-activation/SKILL.mdgit clone --depth 1 https://github.com/Othmane-Khadri/YALC-the-GTM-operating-systemWrote 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/othmane-khadri/yalc-the-gtm-operating-system/fullenrich-network-activation)<a href="https://agentmods.dev/skills/othmane-khadri/yalc-the-gtm-operating-system/fullenrich-network-activation"><img src="https://agentmods.dev/badge/skills/othmane-khadri/yalc-the-gtm-operating-system/fullenrich-network-activation/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/othmane-khadri/yalc-the-gtm-operating-system/fullenrich-network-activation"><img src="https://agentmods.dev/badge/skills/othmane-khadri/yalc-the-gtm-operating-system/fullenrich-network-activation.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 | $0.00115 | $0.01047 |
| Opus 5 | $0.00057 | $0.00524 |
| Sonnet 5 | $0.00023 | $0.00209 |
| Haiku 4.5 | $0.00012 | $0.00105 |
Grade A, and why
fullenrich-network-activation 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 13d 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FullEnrich Network Activation
The most underused asset for new GTM operators: every co-founder's and team member's LinkedIn network. This skill turns a LinkedIn Connections.csv export into a ranked, ICP-qualified, contact-enriched list ready for the SDR queue.
When This Skill Applies
- "activate co-founder network with FullEnrich"
- "enrich LinkedIn connections export"
- "qualify my LinkedIn connections CSV"
- "turn Connections.csv into a lead list"
What This Skill Does NOT Do
- Does not download the export. Each user must click "Get a copy of your data → Connections" in LinkedIn settings.
- Does not push to a CRM.
- Does not spend credits without explicit user approval. See "Credit safety contract" below.
Credit safety contract (MANDATORY)
This skill spends FullEnrich credits, which cost real money. Safeguards:
- Always shows current balance before doing anything.
- Always shows estimated cost of the run.
--max-credits Nceiling (default 500) — auto-trims the qualified list to fit.- Hard-approval prompt — blocks on stdin until the user types
yes. Non-TTY without--yesaborts. --dry-runmode — parses + ICP-filters without spending a credit.
When Claude invokes this skill on a user's behalf:
- ALWAYS run with
--dry-runfirst. - Quote the EXACT estimated credit cost back to the user.
- WAIT for explicit user confirmation before re-running without
--dry-run. - Only pass
--yesafter the user has approved. - Exception: respect locally modified scripts.
Prerequisites
FULLENRICH_API_KEY= # https://app.fullenrich.com/app/api
Optional:
FULLENRICH_WEBHOOK_URL= # public URL for callbacks; otherwise webhook.site fallback
Workflow
- Validate inputs — accept the path to
Connections.csvas the first positional arg. - Parse LinkedIn's CSV — handle the file's odd header (a "Notes:" preamble before the actual header row), tolerant of whitespace and BOM.
- Apply ICP filter — load
config/icp.json(same format asfullenrich-content-engagers), score each connection onPosition+Company, drop everything below the threshold. - Estimate cost + confirm — show the cost preview, block on stdin for
yes. - Enrich — chunk into ≤100 contacts per FullEnrich bulk request with
enrich_fields: ["contact.work_emails", "contact.phones"], requesting Triple Email Verification. - Receive callbacks — webhook payloads land within ~30s per batch.
- Write outputs —
priority-network.csv(ICP-passed + enriched, ranked by score) andpriority-network-disqualified.csv(failed ICP, with reasons).
What ships with it
10 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.
- 13d ago First seen · 89 lines · 115 tokens per session scan A 0c6a4ddbb9dc
fullenrich-network-activation is a skill published in the GitHub repository Othmane-Khadri/YALC-the-GTM-operating-system (301 stars, last pushed 23d ago), licensed MIT. It adds 115 tokens to every session and 1,047 once invoked, about $0.0006 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 2026-08-30.
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