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 desplega-ai/agent-swarm --skill serply-searchgit clone --depth 1 https://github.com/desplega-ai/agent-swarmWrote 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/desplega-ai/agent-swarm/serply-search)<a href="https://agentmods.dev/skills/desplega-ai/agent-swarm/serply-search"><img src="https://agentmods.dev/badge/skills/desplega-ai/agent-swarm/serply-search/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/desplega-ai/agent-swarm/serply-search"><img src="https://agentmods.dev/badge/skills/desplega-ai/agent-swarm/serply-search.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 | $0.00045 | $0.01215 |
| Opus 5.5 | $0.00018 | $0.00486 |
| Sonnet 5.5 | $0.00009 | $0.00243 |
| Haiku 4.5 | $0.00005 | $0.00121 |
Grade A, and why
serply-search scanned grade A 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sS 'https://api.serply.io/v1/search/?q=bun+sqlite+orm&num=10' \ How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Serply Search
Serply (https://serply.io) is a Google SERP API. It returns the ranked organic results for a keyword query, and exposes Google News and Google Scholar as separate endpoints. API reference: https://serply.io/docs
When to use Serply vs. Exa vs. WebSearch
| Query shape | Use |
|---|---|
| "Companies building agent coordination layers" | Exa (conceptual, embedding match) |
| "Blogs that argue knowledge is not data" | Exa (argument-shape) |
"What ranks on page 1 for bun sqlite orm" |
Serply search (the ranking is the answer) |
| "Funding rounds for company X since June" | Serply news (named entity plus date) |
| "How heavily cited is paper Y" | Serply scholar (citation counts) |
| "What is the official Bun docs URL?" | WebSearch (one concrete lookup) |
Exa ranks by embedding similarity, so it wins at "find me things shaped like this". Serply returns what Google actually ranks, which is what you want when position, recency, or citation weight is the thing being measured. A plain WebSearch is still the cheapest way to settle a single fact.
Step 1. Get the API key
# Via MCP tool (preferred, handles secret resolution)
mcp__agent-swarm__get-config(key="SERPLY_API_KEY", includeSecrets=true)
The value comes back at configs[0].value. Export to env or pass inline. Keys come from https://serply.io
Step 2. Web search
curl -sS 'https://api.serply.io/v1/search/?q=bun+sqlite+orm&num=10' \
-H "X-Api-Key: $SERPLY_API_KEY" \
-H 'User-Agent: agent-swarm/1.0'
Parameters go in the query string:
q(required): URL-encoded keywords, not a natural-language description. Google operators pass straight through, soq=sqlite+site%3Abun.shandtbs=date filters behave as they do in the browser.num: how many results to return. Honored up to 10 and clamped there, so page instead of asking for 20.
Response (trimmed):
{
"results": [
{
"title": "Use Drizzle ORM with Bun | Bun Guides",
"description": "Drizzle is an ORM that supports both a SQL-like \"query builder\" API and an ORM-like Queries API.",
"position": 1,
"realPosition": 1,
"result_type": "organic",
"link": "https://bun.com/guides/ecosystem/drizzle"
}
]
}
What ships with it
2 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.
- 1mo ago First seen · 96 lines · 45 tokens per session scan A 9398c282e124
serply-search is a skill published in the GitHub repository desplega-ai/agent-swarm (944 stars, last pushed today), licensed MIT. It adds 45 tokens to every session and 1,215 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-16.
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