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Cheaplane

PYPI · CHEAPLANE · SCANNED AUG 20

Offload grunt work from your premium agent to cheap models — auto-routing and billing isolation.

Available components

64 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security100
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs hatchling.build at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
  • 2 of 30 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency32
Schema Quality & AI Usability75
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 358 tokens (~119/item across 3 items; 3 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage71
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass

Unverified: 1 category

A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

pypi · cheaplane

# add to Claude Code
claude mcp add millennialdreamer-cheaplane -- uvx cheaplane
# add to Codex CLI
codex mcp add millennialdreamer-cheaplane -- uvx cheaplane
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "millennialdreamer-cheaplane": {
      "type": "local",
      "command": [
        "uvx",
        "cheaplane"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add millennialdreamer-cheaplane --command uvx --arg cheaplane
# ~/.hermes/config.yaml
mcp_servers:
  millennialdreamer-cheaplane:
    command: "uvx"
    args: ["cheaplane"]
// mcp.json
{
  "mcpServers": {
    "millennialdreamer-cheaplane": {
      "command": "uvx",
      "args": [
        "cheaplane"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 16 Aug 26 64

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 20 Aug 2026 · Analysed pypi/cheaplane@0.2.1

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem pypi
Install scripts 1 script
Hook Tier Command
build_backend allowlisted hatchling.build
Dependencies 30 packages
Packages resolved 30
Stale 1
No linked repository 1
Tree resolution Complete
MCP tools · 3 exposed · ~358 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
delegate ~313

Offload a self-contained subtask to a cheaper model and return its output. WHEN TO USE: hand off *replaceable grunt work* to save your premium tokens — boilerplate code, small bug fixes, formatting, translation, reading/summarizing long documents, drafting routine copy. Do NOT delegate judgment work (planning, architecture, final review, talking to the user) — keep that for yourself. The delegated model sees ONLY the `task` string and has NO access to this conversation. So make `task` fully self-contained (include all needed context). Args: task: Complete, self-contained instruction for the cheap model. model: "auto" (default) routes by task — code→deepseek, long docs→kimi, Chinese→qwen, multi-step→mimo, quick chores→flash. Or force an alias (deepseek/mimo/flash/kimi/qwen) or a raw proxy model_name. max_tokens: Output cap. Default 4000 (kept large so reasoning models that spend budget on hidden thinking still return non-empty text). Note: a call typically takes ~10-60s (longer for big inputs) and blocks until the cheap model returns, so prefer one focused task per call. Returns: The model's text output, or a string starting with "[delegate-error]" on failure.

NameTypeReqDescription
max_tokensinteger
modelstring
taskstringyes
NameTypeReqDescription
resultstringyes

No examples provided.

list_models ~21

List the model aliases available to delegate(), with their best use.

Input schema present but exposes no named parameters.

NameTypeReqDescription
resultstringyes

No examples provided.

savings ~24

Show what delegating has kept off your premium quota (estimates, list prices).

Input schema present but exposes no named parameters.

NameTypeReqDescription
resultstringyes

No examples provided.