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 hunter-io/claude-plugin --skill discovergit clone --depth 1 https://github.com/hunter-io/claude-pluginWrote 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/hunter-io/claude-plugin/discover)<a href="https://agentmods.dev/skills/hunter-io/claude-plugin/discover"><img src="https://agentmods.dev/badge/skills/hunter-io/claude-plugin/discover/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/hunter-io/claude-plugin/discover"><img src="https://agentmods.dev/badge/skills/hunter-io/claude-plugin/discover.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 | $0.00059 | $0.01159 |
| Opus 5.5 | $0.00024 | $0.00464 |
| Sonnet 5.5 | $0.00012 | $0.00232 |
| Haiku 4.5 | $0.00006 | $0.00116 |
Grade A, and why
discover 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 3d 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Discover
Find companies matching any criteria and size how many contacts they hold — all free, no credits consumed. To turn companies into named, verified contacts you then use Domain Search (which consumes credits); for the full "find people by role" pipeline, use the prospecting skill.
Examples
/hunter:discover fintech startups in France/hunter:discover SaaS companies using Salesforce"Find healthcare companies in Germany with 100+ employees""How many contacts could I get across these fintech companies?""Series B startups in Europe""Save this search as 'French fintech'""Run my saved search"
Steps
-
Find companies. Pass the user's query directly to
Find-Companiesas thequeryparameter — it accepts natural language and handles parsing. -
Present the results:
# Discover: Fintech Startups in France
**Found:** 43 companies | **Showing:** 10
| Company | Domain | Industry | Size | Location |
|---------|--------|----------|------|----------|
| Qonto | qonto.com | Fintech | 150 | Paris, FR |
| Pennylane | pennylane.com | Fintech | 120 | Paris, FR |
| Swan | swan.io | Fintech | 95 | Paris, FR |
| ... | ... | ... | ... | ... |
## Next Actions
1. Narrow or refine the criteria, or page with `limit`/`offset` (max 100 per call) when more companies match. Plans without Discover paging get only the first page.
2. Find the actual contacts at one of these (Domain-Search — consumes credits)
3. Estimate how many contacts these companies hold, free (see "Sizing a batch" below)
4. Save companies to a list (company-lists skill)
5. Run the full people pipeline on these (prospecting skill)
6. Rerun one of your saved searches (List-Saved-Searches)
-
If results are too broad (hundreds of companies), suggest narrowing: "That's a broad search. Try adding filters like industry, size, location, or technology."
-
If zero results, suggest loosening criteria: "No companies matched. Try broadening — for example, widen the location or employee range."
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.
- 3d ago Changed 0424ef32671b
- 1mo ago First seen · 76 lines · 59 tokens per session scan A 067899659fb8
discover is a skill published in the GitHub repository hunter-io/claude-plugin (8 stars, last pushed yesterday), licensed MIT. It adds 59 tokens to every session and 1,159 once invoked, about $0.0002 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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