registry / @aspectlylabs/mikka / 0.0.302
@aspectlylabs/mikka@0.0.302
Local Mikka daemon: runs agents through the user's own CLIs
AI Security Review
scanned 2d ago · by lpm-firewall-aiThe reviewed credential flow serves the package's stated purpose of running agents through local CLIs: provider URLs are configuration inputs, HTTPS and protocol are checked, and runs require a scoped approval gate. The scanner's execution and network flags match these expected capabilities; no unrelated credential destination or automatic attack behavior was found.
Static reason
One or more suspicious static signals were detected.; previous stored version diff introduced dangerous source
Trigger
A user starts an approved agent run.
Impact
Expected agent operation; no unrelated credential collection or destination was identified.
Mechanism
The run-scoped broker forwards model requests and the associated key to the configured HTTPS provider, or to the standard Anthropic/OpenAI API endpoint.
AI rationale
The reviewed credential flow serves the package's stated purpose of running agents through local CLIs: provider URLs are configuration inputs, HTTPS and protocol are checked, and runs require a scoped approval gate. The scanner's execution and network flags match these expected capabilities; no unrelated credential destination or automatic attack behavior was found.
Network endpoints2
api.anthropic.comapi.openai.com
Decision evidence
public snapshotAI called this Clean at 97.0% confidence as Benign with low false-positive risk.
Evidence for AI clean decision
- The manifest describes a local daemon that runs agents through the user's own CLIs.
- Custom provider credentials require an HTTPS URL without embedded username or password.
- The API broker uses the configured provider URL or the standard Anthropic/OpenAI endpoint and checks protocol compatibility.
- The broker sends the key with API requests to that upstream and rejects redirects.
- Starting a run requires a run-scoped tool approval gate.
Evidence against
- The daemon supports process execution, network requests, and credential handling as part of running AI agents.
- A user-configured compatible provider URL can receive the associated model key during agent requests.
Behavioral surface
ChildProcessCryptoEnvironmentVarsFilesystemNetworkShell
HighEntropyStringsUrlStrings
Source & flagged code
6 flaggedgithub-credentials.mjsView file
4import { randomUUID } from 'node:crypto'
L5: import { spawn } from 'node:child_process'
L6: import { pathToFileURL } from 'node:url'
High
Child Process
Package source references child process execution.
github-credentials.mjsView on unpkg · L4mikka.jsView file
4562ai: "7.0.142",
L4563: execa: "10.1.1",
L4564: pino: "10.4.0",
High
6339assertSafeId("run id", runId);
L6340: const common = resolve4(await worktreeGitDir(repoPath, worktree), "..", "..");
L6341: if (basename(common) !== ".git") throw new Error(`${repoPath} is not a standard clone`);
...
L6350: }
L6351: async function pinnedGit(repoPath, worktree, env = process.env) {
L6352: const gitDir = await worktreeGitDir(repoPath, worktree);
L6353: const workTree = realpathSync4(worktree);
L6354: return (args, extra, options) => execa3("git", [...SAFE_GIT, ...args], {
L6355: cwd: workTree,
Findings
1 Critical5 High2 Medium4 Low
CriticalPrevious Version Dangerous Deltacomputer/driver.mjs
HighChild Processgithub-credentials.mjs
HighShellmikka.js
HighSame File Env Network Executionmikka.js
HighCredential Redirect Persistencemain.js
HighCommand Output Exfiltrationagents/native-container.mjs
MediumNetwork
MediumEnvironment Vars
LowFilesystem
LowHigh Entropy Strings
LowUrl Strings
LowCopyleft License
Affected versions and remediation
This report applies to @aspectlylabs/mikka@0.0.302.
See all versions of @aspectlylabs/mikka for other recorded verdicts.
- Review the evidence and your use of @aspectlylabs/mikka@0.0.302 before allowing it. Restrict the permissions described in this report.
- Choose an independently verified alternative or release. This report does not establish that other versions are safe.
Evidence last updated: .
Think this verdict is wrong? Dispute it on GitHub or read how reports are produced.