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Deploys and manages Cloudflare Workers, Pages, KV, R2, D1, DNS, and Queues with the cf CLI, converts Wrangler projects to cf, and authors MCP servers as Workers; never call cf or wrangler raw for a write. USE WHEN deploy worker, deploy pages, ship worker, push to cloudflare, wrangler deploy, Cloudflare, Pages, DNS, KV, R2, D1, Queues, Workers AI, worker logs, build an MCP server, write an MCP server, expose this as MCP, MCP server structure, what shape should our MCP server be, MCP spec, server/discover, MCP stateless. NOT FOR non-Cloudflare deploys or MCP servers we only consume.

danielmiessler/Personal_AI_Infrastructure Agent Skills author: danielmiessler 11 files body ≈ 3 589 tokens Open the sourcegithub.com↗ analyzed 3 h ago

Deploys and manages Cloudflare Workers, Pages, KV, R2, D1, DNS, and Queues with the cf CLI, converts Wrangler projects to cf, and authors MCP servers as…

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

IntegrationCloudflareAI and agentsInfrastructuretype 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
B
94/100
safety, quality, tests
Safety 60%
99
Quality 40%
86
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    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 Exfiltration net-credential-use Intents/Troubleshoot.md:59
      Credential used in a network call (verify the destination is the intended service) (destination is a well-known publishing service; the skill's own vendor host; quoted — discussed, not commanded)
      bun --env-file ~/.claude/.env -e 'const r = await fetch(`https://api.cloudflare.com/client/v4/accounts/${process.env.CLOUDFLARE_ACCOUNT_ID}/workers/scripts?per_page=1`, { headers: { Authorization: `Be
      known servicevendor-hostquoted

    Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
    • note frontmatter-key unknown frontmatter key "evals"
    • note edit-residue the text marks something as outdated (lines 27): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 54/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 48 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 100Steps. 23 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3589 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low The response is described with custom markup (7 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
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 587: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 23 items
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (4 of 4)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.