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YALC-the-GTM-operating-system: Skill for Claude Code

.claude/skills/fullenrich-content-engagers/SKILL.md

fullenrich-content-engagers is a skill for Claude Code from Othmane-Khadri/YALC-the-GTM-operating-system. It costs 123 tokens per session (1,507 once invoked), scanned A, original, MIT.

A lead-enrichment workflow for people who engaged with a LinkedIn post, or for an existing lead CSV. It filters prospects and uses FullEnrich to find work emails and phone numbers.

In plain words
What is it for?
Use it to collect LinkedIn post engagers or process an exported lead list, qualify them against an ideal-customer profile, and save the results as a CSV.
Why use it?
It turns a raw list of names into a more targeted list with contact details, while showing the expected credit use before spending paid credits.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is Othmane-Khadri/YALC-the-GTM-operating-system's own configuration. It tells Claude Code how to work on YALC-the-GTM-operating-system itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything YALC-the-GTM-operating-system configures →

not rated 301repo +3 23d ago A scan SkillSpector: pass 123 tokens original MIT
View source ↗ Othmane-Khadri/YALC-the-GTM-operating-system yalc.ai
Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/Othmane-Khadri/YALC-the-GTM-operating-system/main/.claude/skills/fullenrich-content-engagers/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Othmane-Khadri/YALC-the-GTM-operating-system

Made for: Claude Code.

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README.md
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Your own site · 80×15
<a href="https://agentmods.dev/skills/othmane-khadri/yalc-the-gtm-operating-system/fullenrich-content-engagers"><img src="https://agentmods.dev/badge/skills/othmane-khadri/yalc-the-gtm-operating-system/fullenrich-content-engagers.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 123 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,507 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00123 $0.01507
Opus 5 $0.00062 $0.00754
Sonnet 5 $0.00025 $0.00301
Haiku 4.5 $0.00012 $0.00151

Measured 13d ago against content hash 088685a6b2e4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

fullenrich-content-engagers 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.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/icp.mjs, scripts/lib/csv.mjs, scripts/lib/fullenrich-client.mjs, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.claude/skills/fullenrich-content-engagers/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FullEnrich Content Engagers

One command turns a list of leads into a CSV of ICP-qualified prospects with verified work emails and phones. Two input modes:

  • URL mode — scrape engagers from a LinkedIn post via Unipile
  • CSV mode — bring your own list (any source: Sales Navigator export, PhantomBuster, Evaboot, manual paste, etc.)

Both modes converge on the same ICP filter + FullEnrich enrichment pipeline.

When This Skill Applies

  • "enrich people who engaged with this post {URL}"
  • "qualify post engagers with FullEnrich"
  • "scrape and enrich LinkedIn post {URL}"
  • "engagers from {URL} into a CSV"
  • "enrich this CSV of leads with FullEnrich"
  • "qualify and enrich leads.csv"

What This Skill Does NOT Do

  • Does not write outreach copy. Pair with personalize-message after.
  • 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:

  1. Always shows current balance before doing anything.
  2. Always shows estimated cost of the run.
  3. --max-credits N ceiling (default 500) — auto-trims the contact list to fit.
  4. Hard-approval prompt — blocks on stdin until the user types yes. If stdin is not a TTY, the script aborts unless --yes is passed.
  5. --dry-run mode — scrapes engagers + applies ICP without spending a credit.

When Claude invokes this skill on a user's behalf:

  1. ALWAYS run with --dry-run first to surface the engager count, ICP-pass count, and estimated cost.
  2. Quote the EXACT estimated credit cost back to the user.
  3. WAIT for explicit user confirmation before re-running without --dry-run.
  4. Only pass --yes to the script when the user has approved the spend in this conversation.
  5. Exception: respect locally modified scripts — the user took ownership.

Prerequisites

URL mode requires all four:

FULLENRICH_API_KEY=    # https://app.fullenrich.com/app/api
UNIPILE_API_KEY=       # https://dashboard.unipile.com
UNIPILE_DSN=           # e.g. https://api18.unipile.com:14891
UNIPILE_ACCOUNT_ID=    # the LinkedIn account ID under Unipile

Read the full file on GitHub · 121 lines

Files

What ships with it

12 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.

Changes

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.

  1. 13d ago First seen · 121 lines · 123 tokens per session scan A 088685a6b2e4

Subscribe to this mod's changes

fullenrich-content-engagers 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 123 tokens to every session and 1,507 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.

Marketing and SEOResearchai-nativeclay-alternativecligtmlead-generationopen-source
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