Skills/Glama/kabo-nutrition-mcp

kabo-nutrition-mcp@r1

VERIFIED· install only

Publisher claims: "Indian food nutrition from ICMR-NIN: protein and calcium per 100 g and per katori for 52 foods, protein targets by age and weight, and protein cost ranked in rupees. Every response carries a source URL, so answers are citable." Observed in sandbox: no network, touches nothing outside the project, writes no memory.

Registry GlamaPublisher guru-ragul · publishing for 3 daysInstalls 0Last detonated 3d ago
$npx skills add kabo-nutrition-mcp
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Coverage

Nothing executable in the bundle ran; the trace covers the install step only.
Tested
every file read, file written and host contacted by what ran
Not tested
use of the skill by an agent

What this means for the label: Verified here covers what ran. The server's tools were not exercised with a real credential, so nothing about their behavior is asserted; the credential summary below says what to do with that.

Before you give it your token

It will ask for
SHOPIFY_TOKENConfiguration, not credentials: OPENAI_APPS_CHALLENGE, SHOPIFY_STORE
Where it talks to
no vendor host named in the codeAlso kabo.co.in, creativecommons.org, onrender.com — not the publisher's domain; check what for before connecting.
What the honeypot saw
no credential files read · no network
What we could not test
use of the skill by an agent

Connect it with a scoped credential, under the guard, and read the third-party hosts first. The code names kabo.co.in, creativecommons.org, onrender.com as well as its own vendor. The guard injects SHOPIFY_TOKEN only into requests to the host you bind (and its subdomains) and refuses the rest.

$vet-skills run --net declared -- <the server's command>

Never paste a credential into a chat, a ticket or a report, including ours. How the guard holds it.

Is kabo-nutrition-mcp@r1 safe to install?

KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario; nothing executable in the bundle ran; the trace covers the install step only) on 2026-11-12 and scored it 84/100 (Verified). In what ran, nothing we could detect went wrong: no undeclared network egress, no credential reads, no persistent instruction writes. What it does with a real credential was not observed; the static findings and the publisher carry the rest of the score. Summary: no network, touches nothing outside the project, writes no memory.

Behavior trace

Honeypot run · 0 s · 1 scenarios · 0 deviations
t+CategoryObserved action
0.0sprocessno install scripts in bundle
0.0sprocessscript backend runs setup only
0.0sprocessscript backend runs setup only
0.0sprocessno install scripts to re-run

Static findings

MEDIUM
MCP server using network transport (SSE/HTTP)Dockerfile:10 · MCP server using network transport (SSE/HTTP) — data sent over networkCMD ["python3", "kabo_mcp_server.py", "--http"]Fix: Namespace tool names and keep tool descriptions literal; no instructions to the agent inside them.
AST04
HIGH
Access to sensitive file pathsbuild_dataset.py:264 · Access to sensitive file paths — SSH keys, AWS credentials, env files, or system filesprint("SHOPIFY_STORE / SHOPIFY_TOKEN missing from .env")Fix: Stop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.
AST05
MEDIUM
Process kill commandkabo_mcp_server.py:530 · Process kill command — agent can terminate processesexcept Exception as e: # never kill the session on one bad callFix: Build commands from fixed arguments; do not interpolate untrusted strings into a shell.
AST05
MEDIUM
MCP server using network transport (SSE/HTTP)SKILL.md:5 · MCP server using network transport (SSE/HTTP) — data sent over networkMCP server Guru-ragul/KABO-Indian-Nutrition-Index---MCP-server on Glama, built from https://github.com/Guru-ragul/KABO-Indian-Nutrition-Index---MCP-server.Fix: Namespace tool names and keep tool descriptions literal; no instructions to the agent inside them.
AST04
HIGH
Access to sensitive file pathsbuild_dataset.py:28 · Access to sensitive file paths — SSH keys, AWS credentials, env files, or system filesload_dotenv(os.path.join(ROOT, ".env"))Fix: Stop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.
AST05

Cost to the agent

Instructions loaded
≈52 tok
1 file · 13 in bundle

Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.

Known vulnerabilities

Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.