Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/cheenu1092-oss/netmcpnpx agentmods add skills/cheenu1092-oss/netmcp/fcc-devicesWrote 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/cheenu1092-oss/netmcp/fcc-devices)<a href="https://agentmods.dev/skills/cheenu1092-oss/netmcp/fcc-devices"><img src="https://agentmods.dev/badge/skills/cheenu1092-oss/netmcp/fcc-devices/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/cheenu1092-oss/netmcp/fcc-devices"><img src="https://agentmods.dev/badge/skills/cheenu1092-oss/netmcp/fcc-devices.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 | $0.00048 | $0.00463 |
| Opus 5.5 | $0.00019 | $0.00185 |
| Sonnet 5.5 | $0.00010 | $0.00093 |
| Haiku 4.5 | $0.00005 | $0.00046 |
Grade A, and why
fcc-devices 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 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.
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.
What it actually says
FCC Devices — Equipment Authorization Search
CLI Usage (Quick & Easy)
Simple bash wrapper scripts for direct command-line use:
cd ./skills/fcc-devices/scripts
# Search grantees by name
./search.sh "Samsung" name 5
# Get specific grantee by FCC ID
./get.sh 2AY5N
# Get recent registrations
./recent.sh 30 5
MCP Server Setup
cd SKILL_DIR/../../packages/fcc-devices
npm install && node src/index.js
# Or install into Claude Code config
./scripts/install-mcp.sh
Tools Available
fcc_search — Search grantees
Input: Query + type ("name", "code", or "country") Returns: Grantee code, company name, address, country, registration date
fcc_get — Look up a specific grantee code
Input: Grantee code (first 3-5 chars of an FCC ID) Returns: Full grantee details with equipment search URL
fcc_recent — Recently registered grantees
Input: Limit, optional country filter Returns: Most recently registered wireless device manufacturers
Understanding FCC IDs
FCC IDs have two parts:
- Grantee Code (3-5 chars): Identifies the manufacturer (e.g. BCG = Apple)
- Product Code (remaining): Identifies the specific device model
Data Source
FCC Open Data (Socrata API): opendata.fcc.gov/resource/3b3k-34jp.json — No auth required.
Examples
- "Who makes the device with FCC ID BCG-E2511A?" →
fcc_getwith grantee_code "BCG" - "Find Samsung's FCC registrations" →
fcc_searchwith query "Samsung" - "Recent device manufacturers from South Korea" →
fcc_recentwith country "South Korea"
What ships with it
4 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.
- 2mo ago First seen · 64 lines · 48 tokens per session scan A 672d782a1da9
fcc-devices is a skill published in the GitHub repository cheenu1092-oss/netmcp (0 stars, last pushed 18d ago), licensed MIT. It adds 48 tokens to every session and 463 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 2026-08-31.
fcc-devices compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| fcc-devicescheenu1092-oss/netmcp | Skill | 0 | 18d ago | MIT | A | 48 | Claude Code, Codex |
| gke-compute-classesgoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 83 | Claude Code, Codex |
| jetson-diagnosticNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 30 | Claude Code, Codex |
| holoscan-install-wheelNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 34 | Claude Code, Codex |
| offensive-z-waveSnailSploit/Claude-Red | Skill | 10k | 25d ago | MIT | A | 113 | Claude Code, Codex |
| doca-socket-relayNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 236 | Claude Code, Codex |
| hsb-flashNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | B | 94 | Claude Code |