openai-image-mcp@0.2.0
VERIFIED· install onlyPublisher claims: "Enables Claude to generate and edit images through the OpenAI Images API, storing full-size results in R2 and returning public URLs, IDs, token usage, model details, and optional JPEG previews." Observed in sandbox: no network, touches nothing outside the project, writes no memory.
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
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. Nothing executable in the bundle ran; the trace covers the install step only. 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 openai-image-mcp` 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 (1 scenario; nothing executable in the bundle ran; the trace covers the install step only) on 2026-11-07 and scored it 82/100 (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 deviationsStatic findings
expect(JSON.parse(new TextDecoder().decode(f.objects.get(`meta/${upload.id}.json`)!.bytes))).toMatchObject({ id: upload.id, source: "upload", width: 1024 });Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.- run: npx wrangler deploy --dry-run --outdir distFix: Pin versions and sources; vendor anything fetched at install time.console.log("PASS: wrangler dev, unauthenticated rejection, password rejection and retry, consent CSP nonce, deny redirect, browser-bound OAuth + PKCE, MCP tools/list (4 tools with output schemas), geFix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.const sentence = "\u4e00\u53ea\u5728\u96ea\u5730\u91cc\u5954\u8dd1\u7684\u7ea2\u72d0\u72f8\uff0c";Fix: Put hosts, commands and strings in plain source. Decoding at runtime looks identical to malware and costs points on its own.const CJK = "\u4e00\u53ea\u5728\u96ea\u5730\u91cc\u5954\u8dd1\u7684\u7ea2\u72d0\u72f8\uff0c";Fix: Put hosts, commands and strings in plain source. Decoding at runtime looks identical to malware and costs points on its own.await env.IMAGES_BUCKET.put(`meta/${id}.json`, JSON.stringify({ ...image, source: "upload", created_at: created }, null, 2), {Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.const fetch = mockFetch(() => Response.json(imagesResponse([jpeg(1024, 1536)], { output_format: "jpeg", size: "1024x1536" })));Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.["edit", { prompt: "a", images: ["https://user:[email protected]/a.png"] }, "credentials"],Fix: Stop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.const zh = "\u4e00\u53ea\u5728\u96ea\u5730\u91cc\u5954\u8dd1\u7684\u7ea2\u72d0\u72f8\uff0c";Fix: Put hosts, commands and strings in plain source. Decoding at runtime looks identical to malware and costs points on its own.expect(estimatePromptTokens("\u3053\u3093\u306b\u3061\u306f\uc548\ub155\uff21\uff22")).toBe(9);Fix: Put hosts, commands and strings in plain source. Decoding at runtime looks identical to malware and costs points on its own.Cost to the agent
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.