SKILLEMALL.ai
GitHub ↗ RU Sign in

AF massive-com

Bash CLI wrapper and OpenClaw skill for Massive's public REST API. Use when Codex or an OpenClaw agent needs to query Massive market-data endpoints from a shell workflow, align authentication to OpenClaw-style secret references, keep logs free of secrets, or integrate Massive responses into agent pipelines and other CLI tools.

modbender/skill-library-mcp Agent Skills author: modbender MIT 10 files · 1 script body ≈ 636 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Bash CLI wrapper and OpenClaw skill for Massive's public REST API.

As a process F 41/100 · Will not run — References files that are not bundled: scripts/massive

IntegrationAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
F
41/100
Will not run
References files that are not bundled: scripts/massive
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/massive

Process rating: all ten parameters 41/100

Will not run. References files that are not bundled: scripts/massive
  • 0Tools and files. 1 referenced file(s) missing: scripts/massive
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (massive-com) differs from the folder (massive)
  • 50Failures and branches. 0 branches, has a failure section
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 31 steps
  • 100Execution cost. Instruction body is 636 tokens
  • low The response is described with custom markup (4 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 328: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 31 items
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.