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/import-leads/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/import-leads)<a href="https://agentmods.dev/skills/othmane-khadri/yalc-the-gtm-operating-system/import-leads"><img src="https://agentmods.dev/badge/skills/othmane-khadri/yalc-the-gtm-operating-system/import-leads/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/import-leads"><img src="https://agentmods.dev/badge/skills/othmane-khadri/yalc-the-gtm-operating-system/import-leads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 36 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium MCP Rug Pull · line 37 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00084 | $0.00498 |
| Opus 5.5 | $0.00034 | $0.00199 |
| Sonnet 5.5 | $0.00017 | $0.00100 |
| Haiku 4.5 | $0.00008 | $0.00050 |
Grade A, and why
import-leads 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 1mo 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.
What it actually says
Import Leads
I'll wrap leads:import. Take an input file or Notion DB id, run the import, and surface the result-set id.
When This Skill Applies
- "just import this CSV"
- "load these leads without qualifying"
- "bulk import this file"
- "add these prospects to the DB"
- "pull this Notion DB into YALC"
NOT this skill (use qualify-leads instead):
- "qualify these leads" / "score this list" — that runs the 7-gate pipeline. This skill is import only.
NOT this skill (use scrape-post-engagers instead):
- "scrape engagers off this LinkedIn post" — that produces a result set from Unipile, not from a file.
Workflow
Step 0 — Ask for input source + path
"What's the input source — CSV, JSON, or Notion DB? And what's the path or DB id?"
Step 1 — Validate (file exists / Notion id format)
Step 2 — Shell out
cd ~/Desktop/gtm-os && set -a && source .env.local && set +a && \
npx tsx src/cli/index.ts leads:import --source <type> --input <path>
Step 3 — Parse output
CLI emits row count + result-set id.
Step 4 — Render
Step 5 — Offer follow-ups
"Want me to (a) qualify these via
qualify-leads --result-set <id>, (b) launch a campaign on the imported leads?"
Notes
- CSV expected columns: at least one of
email,linkedin_url. Other columns are kept as custom fields. - Notion DB requires a 32-char hex id. The CLI introspects schema and maps obvious columns.
What ships with it
1 file 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.
- 1mo ago First seen · 54 lines · 84 tokens per session scan A e97512ec68d4
import-leads is a skill published in the GitHub repository Othmane-Khadri/YALC-the-GTM-operating-system (323 stars, last pushed 2mo ago), licensed MIT. It adds 84 tokens to every session and 498 once invoked, about $0.0003 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 2026-08-30.
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