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 SELAT-AI/selat-skills --skill recent-funding-roundsgit clone --depth 1 https://github.com/SELAT-AI/selat-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/selat-ai/selat-skills/recent-funding-rounds)<a href="https://agentmods.dev/skills/selat-ai/selat-skills/recent-funding-rounds"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/recent-funding-rounds/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/selat-ai/selat-skills/recent-funding-rounds"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/recent-funding-rounds.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 | $0.00095 | $0.01070 |
| Opus 5 | $0.00048 | $0.00535 |
| Sonnet 5 | $0.00019 | $0.00214 |
| Haiku 4.5 | $0.00010 | $0.00107 |
Grade A, and why
recent-funding-rounds 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 12d 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
recent-funding-rounds
When To Use
Use when the user wants to discover companies that have raised funding recently in a given sector. Typical triggers: "what companies raised funding this week?", "show me recent seed rounds", "latest Series A deals in fintech". The skill issues a single MPP on Tempo call to Brave Search's /brave/news-search and returns recent news articles announcing funding rounds.
Be honest about what comes back: Brave news-search returns news articles about funding rounds (headline, snippet, source, publish date, URL) — it is not a structured funding database. There is no server-side filtering by exact date range, round type, or deal size; those signals live in the article text. Fold them into the query wording (e.g. a "seed" or "Series A" mention in sector) and extract deal details from the returned articles.
Workflow
- Install:
selat skill install recent-funding-rounds - Run:
selat skill run recent-funding-rounds --sector "artificial intelligence" - The CLI compiles the single step into a
selat-paycall, routes it through the SELAT Router (which pays Brave Search via Locus over MPP), and prints a ✓/✗ summary.
Step:
- Step 1 — Brave Search
POST /brave/news-search— MPP on Tempo via the SELAT Router. Queries"${sector} startup funding round announced"against Brave's news index; returns recent news articles covering funding announcements in that sector.
To bias toward a round type, include it in sector (e.g. --sector "fintech seed"); news search naturally surfaces recent coverage, so "this week / this month" style asks are served by the recency of the news index rather than an explicit date filter.
Inputs And Outputs
| Param | Required | Default | Description |
|---|---|---|---|
sector |
yes | artificial intelligence |
Sector/industry in plain words, interpolated into the news query |
Outputs: news-search results — a list of articles, each with title, description/snippet, source, publish age/date, and URL. Company names, round types, and deal sizes must be read out of the article text; the response is news coverage, not structured deal records.
What ships with it
3 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.
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.
- 12d ago First seen · 62 lines · 95 tokens per session scan A 93869e831db7
recent-funding-rounds is a skill published in the GitHub repository SELAT-AI/selat-skills (2 stars, last pushed today), licensed Apache-2.0. It adds 95 tokens to every session and 1,070 once invoked, about $0.0005 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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