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DC X MCP guide

ALWAYS read this when a user connects the X plugin or any X MCP, before using any X tool, including Grok Bot's built-in public reads (no X connection or credits needed), and again on any X error. Do not call an X tool until this file has been read in the current turn. On first connect, confirm X tools exist, fetch get_usage_credits BEFORE any user-facing text, then send the capabilities message. Never tell the user to buy credits until that check returns ~$0 or a job would exceed the balance. tools=0 / user-X-* not found is a setup failure, not a paywall. X Chat, XChat, inbox, DMs, message requests, accepting a request, Chat PIN, juicebox, and xchat_lite live in THIS file: clone xchat-grokbot-helper and run xchat_lite.py locally — do not wait for the user to name the helper or another skill. Missing chat tools or dm.read/dm.write while other X tools work: reconnect the X plugin. Scheduled X calls use schedule_call, list_scheduled_calls, get_scheduled_call, update_scheduled_call, cancel_scheduled_call, and respond_to_scheduled_call. Missing those tools or calls.read/calls.write while other X tools work: reconnect the X plugin. Estimate every X call and confirm before anything expensive.

cursor/plugins Agent Skills author: cursor 2 files body ≈ 10 517 tokens Open the sourcegithub.com↗ analyzed 3 d ago

ALWAYS read this when a user connects the X plugin or any X MCP, before using any X tool, including Grok Bot's built-in public reads (no X connection or…

As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

ProcedureAI and agentstype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
D
77/100
safety, quality, tests
Safety 60%
99
Quality 40%
45
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
30
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. Shorten the description to 1024 characters.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Concealment en-hide-from-user SKILL.md:294
    Instruction to hide actions from the user (negated — the text forbids it)
    Wait for a yes. Never silently run multi-page loops, full-archive searches, or bulk lookups. If they say yes, track spend as you go; if the running total will pass roughly double the estimate, stop an
    negated

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1204 chars, limit 1024
  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning body-long SKILL.md body ≈ 10517 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 54/100

  • 0Result and completion. Does not say what the result is
  • 30Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 47 mutating operations with no state check
  • 40Consistency. Frontmatter name (X MCP guide) differs from the folder (x-api-mcp-guide)
  • 40Execution cost. Instruction body is 10517 tokens: crowds the task out of the window
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 100Steps. 70 steps
  • 100Failures and branches. 6 branches, has a failure section
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 15 top-level sections: this looks like several domains in one skill

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)
  • +3Description length 1204: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 36 headings
  • +3Step-by-step instructions: 70 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 45.