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AF monday-for-agents

Set up a monday.com account for an OpenClaw agent and work with monday.com boards, items, and updates via the GraphQL API or MCP server. Use when: creating a monday.com workspace for a PA, connecting the PA to monday.com, querying boards and items, creating or updating items, or troubleshooting monday.com API access. Covers GraphQL cookbook, column types, and MCP configuration. Works with any LLM model.

ClawHub Agent Skills author: Netanel Abergel v1.1.1 MIT-0 2 files body ≈ 2 108 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 38/100 · Will not run — References files that are not bundled: references/column-types.md, references/graphql-operations.md

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
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
F
38/100
Will not run
References files that are not bundled: references/column-types.md, references/graphql-operations.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/column-types.md
  • warning missing-ref reference to a missing file: references/graphql-operations.md

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: references/column-types.md, references/graphql-operations.md
  • 0Tools and files. 2 referenced file(s) missing: references/column-types.md, references/graphql-operations.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 30Running it twice. 5 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 100Steps. 32 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2108 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 406: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 32 items
  • +4Has examples (10 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This is a coherent monday.com integration guide with purpose-aligned API and MCP access, though users should avoid copying the plaintext token example into a saved config file.
LLM: benign (high) · VirusTotal: · 29 May 2026