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 nostrband/ServiceGraph --skill find-marketing-agencygit clone --depth 1 https://github.com/nostrband/ServiceGraphWrote 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/nostrband/servicegraph/find-marketing-agency)<a href="https://agentmods.dev/skills/nostrband/servicegraph/find-marketing-agency"><img src="https://agentmods.dev/badge/skills/nostrband/servicegraph/find-marketing-agency/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/nostrband/servicegraph/find-marketing-agency"><img src="https://agentmods.dev/badge/skills/nostrband/servicegraph/find-marketing-agency.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 | $0.00220 | $0.03603 |
| Opus 5 | $0.00110 | $0.01801 |
| Sonnet 5 | $0.00044 | $0.00721 |
| Haiku 4.5 | $0.00022 | $0.00360 |
Grade A, and why
find-marketing-agency 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 13d 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.
Any HTTP client works (curl, fetch, requests). Examples below use curl. How it starts
The opening of the file, as written. The whole thing — 297 lines — stays where its author put it; the contents beside it link to each section on GitHub.
find-marketing-agency
Drive the ServiceGraph API (https://api.servicegraph.co) to find,
shortlist, and enrich US marketing agencies via the pro_services
dataset. The catalog has tens of thousands of US marketing firms
tagged across ~26 service sub-tags including branding,
content-marketing, ppc, social-media-marketing, email-marketing,
web-design, video-production, inbound-marketing,
marketing-strategy, conversion-optimization, and
ecommerce-marketing. (Note: there is no performance-marketing or
demand-gen / demand-generation tag — those user-phrasings map to
inbound-marketing / marketing-strategy / conversion-optimization
plus a keyword fallback.)
Always pin industry:marketing_agency. This skill exists to do
that automatically — the user shouldn't have to think about catalog
taxonomy.
Any HTTP client works (curl, fetch, requests). Examples below use curl.
Sibling skills — defer when scope is narrow
If the user's ask is strictly one of the following, defer to the dedicated skill:
- Strictly SEO/search-ranking work →
find-seo-agency - Strictly web/app/software development →
find-web-developer/find-software-developer
If the user wants a marketing agency that also does SEO or web work
as part of a broader engagement, this skill is correct — pin
industry:marketing_agency and add the relevant service_provided:
tags.
MCP server (preferred for authed calls)
If your harness has the ServiceGraph MCP server loaded (recognizable
by tool names containing servicegraph), prefer those tools — the
harness handles credentials in its own sandbox via OAuth 2.1 + PKCE,
so no token enters LLM context. Otherwise use the REST flow below.
API surface (dataset id: pro_services)
Every endpoint requires the bearer (Authorization: Bearer vk_…).
There is no anonymous tier.
| Endpoint | Cost | Use it for |
|---|---|---|
GET /v1/datasets/pro_services/fields[?include_values=1&q=] |
free | Filter-field catalog + DSL grammar. Call first per session. |
GET /v1/datasets/pro_services/values/:field[?q=&limit=] |
free | Enumerate values for one field. |
GET /v1/datasets/pro_services/check?filter=… |
free | Validate a filter. Returns {valid, normalized} or {valid:false, error}. |
POST /v1/datasets/pro_services/translate-intent |
free | {intent} → LLM-generated DSL filter + sanity count. |
GET /v1/datasets/pro_services/search?filter=…&limit=&offset= |
free | Brief firm cards + per-row unlock hint + total. |
GET /v1/datasets/pro_services/:apex |
free | Single row brief; detail block only if unlocked. |
POST /v1/datasets/pro_services/unlocks |
10 credits / firm | {apexes:[...]} ≤100. Atomic batch; 30-day TTL on detail; was_cached:true rows free. |
GET /v1/me/credits |
free | Balance. |
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.
- 13d ago First seen · 297 lines · 220 tokens per session scan A 204fb5974954
find-marketing-agency is a skill published in the GitHub repository nostrband/ServiceGraph (62 stars, last pushed 3mo ago), licensed MIT. It adds 220 tokens to every session and 3,603 once invoked, about $0.0011 per session on Opus 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 2026-08-30.
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