Skills/PyPI/mcp-llm-inferencer

mcp-llm-inferencer@0.1.0

VERIFIED· install only

Publisher claims: "Uses Claude or OpenAI API to convert prompt-mapped input into concrete MCP server components such as tools, resource templates, and prompt handlers" Observed in sandbox: no network, touches nothing outside the project, writes no memory.

Registry PyPI (MCP server)Publisher sumedh99 · publishing for 563 daysInstalls 27Last detonated 7d ago
$claude mcp add mcp-llm-inferencer -- uvx mcp-llm-inferencer
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Coverage

Install scripts ran; no agent task scenario for this bundle.
Tested
install scripts, with decoy credentials in place · second launch with the clock 45 days ahead · 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

Code inventory arrives with this version's next honeypot run.
It will ask for
unknown until the next run
Where it talks to
unknown until the next run
What the honeypot saw
no credential files read · no network
What we could not test
use of the skill by an agent

Not enough was observed to say yet. Install scripts ran; no agent task scenario for this bundle. This version's code has not been inventoried for credentials and hosts either; both arrive with its next honeypot run (popular servers first). `vet-skills try mcp-llm-inferencer` runs it now and prints the full answer.

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

Is [email protected] safe to install?

KillerSkills ran it in the KillerSkills honeypot sandbox (2 scenarios; install scripts ran; no agent task scenario for this bundle) on 2026-11-08 and scored it 95/100 (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 · 2 scenarios · 0 deviations
t+CategoryObserved action
0.0sprocessexited 1: ModuleNotFoundError: No module named 'setuptools'
0.0sprocessscript backend runs setup only
0.0sprocessscript backend runs setup only
0.1sprocesssecond launch, clock +45 days, CI unset
0.1sprocessexited 1: ModuleNotFoundError: No module named 'setuptools'

Static findings

No findings across 298 lines in 13 files.

Cost to the agent

Instructions loaded
≈76 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

No advisories in OSV for mcp-llm-inferencer@0.1.0 as of 6d ago. This is the package itself, not its dependencies.