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 Buzzmatic/awesome-agent-skills --skill lemlistgit clone --depth 1 https://github.com/Buzzmatic/awesome-agent-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/buzzmatic/awesome-agent-skills/lemlist)<a href="https://agentmods.dev/skills/buzzmatic/awesome-agent-skills/lemlist"><img src="https://agentmods.dev/badge/skills/buzzmatic/awesome-agent-skills/lemlist/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/buzzmatic/awesome-agent-skills/lemlist"><img src="https://agentmods.dev/badge/skills/buzzmatic/awesome-agent-skills/lemlist.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 | $0.00088 | $0.01694 |
| Opus 5 | $0.00044 | $0.00847 |
| Sonnet 5 | $0.00018 | $0.00339 |
| Haiku 4.5 | $0.00009 | $0.00169 |
Grade A, and why
lemlist 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 8d 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 — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lemlist Skill
Fetch and manage data from the lemlist API.
Quick Start
All scripts follow a file-first pattern:
- Accept an optional
--outputdirectory (defaults to./output) - Save raw JSON and processed CSV into that directory
- Return JSON with
{"output_files": [...], "summary": "..."}
Authentication
Set the LEMLIST_API_KEY environment variable:
export LEMLIST_API_KEY="your-api-key"
Get your API key from lemlist Settings > Integrations > API.
Core Operations
Campaign Management
List all campaigns:
python scripts/get_campaigns.py
Filter by status:
python scripts/get_campaigns.py --status running
Get specific campaign:
python scripts/get_campaigns.py \
--campaign-id "camp_abc123" \
--include-stats
Lead Management
Get leads from campaign:
python scripts/get_leads.py \
--campaign-id "camp_abc123"
Fetch all leads (with pagination):
python scripts/get_leads.py \
--campaign-id "camp_abc123" \
--fetch-all
Filter by status:
python scripts/get_leads.py \
--campaign-id "camp_abc123" \
--status replied
Get specific lead:
python scripts/get_leads.py \
--campaign-id "camp_abc123" \
--email "[email protected]"
Adding Leads
Add single lead:
python scripts/add_leads.py \
--campaign-id "camp_abc123" \
--lead-json '{"email": "[email protected]", "firstName": "John", "lastName": "Doe", "companyName": "Acme Inc"}'
Bulk import from CSV:
python scripts/add_leads.py \
--campaign-id "camp_abc123" \
--leads-csv "/path/to/leads.csv" \
--email-column "email" \
--batch-size 50 \
--deduplicate
CSV Format:
email,firstName,lastName,companyName,customField1
[email protected],John,Doe,Acme Inc,value1
[email protected],Jane,Smith,Beta Corp,value2
Updating Leads
Update lead fields:
python scripts/update_lead.py \
--campaign-id "camp_abc123" \
--email "[email protected]" \
--data '{"firstName": "Johnny", "companyName": "New Company"}'
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.
- CHANGELOG.md 211 B
- favicon/icon.png 498 B
- references/api_reference.md 4.4 KB
- scripts/add_leads.py 9.3 KB runs code
- scripts/auth.py 5.5 KB runs code
- scripts/delete_lead.py 4.2 KB runs code
- scripts/get_activities.py 6.3 KB runs code
- scripts/get_campaigns.py 6.4 KB runs code
- scripts/get_leads.py 7.6 KB runs code
- scripts/get_team.py 4.0 KB runs code
- scripts/get_unsubscribes.py 7.6 KB runs code
- scripts/update_lead.py 6.0 KB runs code
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.
- 8d ago First seen · 274 lines · 88 tokens per session scan A 7d6374b6c936
lemlist is a skill published in the GitHub repository Buzzmatic/awesome-agent-skills (1 stars, last pushed 2mo ago), licensed MIT. It adds 88 tokens to every session and 1,694 once invoked, about $0.0004 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 2026-08-31.
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