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AD opentable-fpx

Query and manage OpenTable (opentable.com) restaurant reservations from a shell with the fpx CLI (@fetchproxy/cli) instead of running the opentable-mcp server — search restaurants, check slot availability, list reservations/favorites, and book/modify/cancel a table via one-shot GraphQL + REST calls through a signed-in browser tab. Use when you want OpenTable data or actions without the MCP, in a script, or on a machine where the MCP isn't installed.

ClawHub Agent Skills author: chrischall v0.19.3 MIT-0 4 files body ≈ 1 160 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Query and manage OpenTable (opentable.com) restaurant reservations from a shell with the fpx CLI (@fetchproxy/cli) instead of running the opentable-mcp server…

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

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
94/100
safety, quality, tests
Safety 60%
98
Quality 40%
88
Run on models
none yet
Process rating
D
48/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Secrets in code secret-high-entropy-token references/opentable-fpx-requests.md:82
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "restaurantAvailabilityTokens": ["eyJ2…wfQ"],
      quoted
    • low Secrets in code secret-high-entropy-token references/opentable-fpx-requests.md:102
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      `eyJ2…wfQ` value works for a single
      quoted

    Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 48/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 4 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 100Steps. 10 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1160 tokens

    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 453: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 10 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: suspicious
    This skill is openly about managing OpenTable reservations, but it gives raw authenticated commands that can book or cancel reservations without an enforced confirmation step.
    LLM: suspicious (high) · 10 Sept 2026