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 growthenginenowoslawski/coldoutboundskills --skill prospeo-full-exportgit clone --depth 1 https://github.com/growthenginenowoslawski/coldoutboundskillsWrote 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/growthenginenowoslawski/coldoutboundskills/prospeo-full-export)<a href="https://agentmods.dev/skills/growthenginenowoslawski/coldoutboundskills/prospeo-full-export"><img src="https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/prospeo-full-export/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/growthenginenowoslawski/coldoutboundskills/prospeo-full-export"><img src="https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/prospeo-full-export.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 findings, up to medium
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 →
- medium Rogue Agent · line 28 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Data Exfiltration · line 134 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 147 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 274 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 147 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 274 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00087 | $0.05211 |
| Opus 5.5 | $0.00035 | $0.02084 |
| Sonnet 5.5 | $0.00017 | $0.01042 |
| Haiku 4.5 | $0.00009 | $0.00521 |
Grade B, and why
prospeo-full-export scanned grade B with 1 finding 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 2mo 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
const response = await fetch('https://api.prospeo.io/search-person', { method: 'POST', Copies of this mod
1 near-identical copy found in the catalogue:
- prospeo-full-export — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 546 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prospeo Full Search Export
Extract your entire Prospeo people search to a CSV file. Build your search in Prospeo's UI, then let Claude pull every single result via the API — even if the search has more than 25,000 results.
Required step: Qualify with /icp-prompt-builder (do not skip)
Before exporting more than 500 contacts, run Prospeo on a 50-contact sample, then invoke /icp-prompt-builder to tune a qualification prompt in 3-5 rounds of 10 (with your approval each round). Apply the tuned prompt to the full export to filter out bad fits.
Why required: email enrichment downstream costs $0.05-$0.15 per person. A 25K export that's 40% wrong-fit wastes $500-$1,500 on email-finding that goes nowhere. The ICP prompt builder takes 10-15 min and saves that cost 40-70% of the time.
Safe skip: only if your Prospeo filter is already extremely tight (e.g., 5 exact titles + 1 industry + narrow headcount) AND you've run the same filter successfully before. Even then, run /icp-prompt-builder on 10 samples as a sanity check — it's nearly free to confirm.
What This Does
- You build a search in Prospeo's web UI (filters for title, location, industry, company size, etc.)
- You tell Claude what filters you used
- Claude translates those filters into Prospeo API calls
- Claude paginates through every page of results and exports to CSV
- For large US searches (25K+), Claude automatically splits by state to get everything
Setup (First Time Only)
Step 1: Create a Prospeo Account
- Go to prospeo.io and sign up
- Choose a plan that includes the Search Person API (most paid plans do)
- Each API request that returns results costs 1 credit and returns 25 contacts
Step 2: Get Your API Key
- Log into Prospeo
- Go to Settings > API (or visit prospeo.io/app/settings/api)
- Copy your API key
Step 3: Set Your API Key
Set it as an environment variable so Claude can use it:
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.
- 2mo ago First seen · 546 lines · 87 tokens per session scan B 5a8e58b924e4
prospeo-full-export is a skill published in the GitHub repository growthenginenowoslawski/coldoutboundskills (802 stars, last pushed 1mo ago), licensed MIT. It adds 87 tokens to every session and 5,211 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it B with 1 finding (sends data to an external url). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
prospeo-full-export compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| prospeo-full-exportgrowthenginenowoslawski/coldoutboundskills | Skill | 802 | 1mo ago | MIT | B | 87 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |