SKILLEMALL.ai

AC resy-fpx

Query and act on Resy (resy.com restaurant reservations) from a shell without running the resy-mcp server — search venues, check slot availability, book/cancel reservations, and manage favorites/Priority Notify with curl against api.resy.com, using the fpx CLI (@fetchproxy/cli) only for the one-time token bootstrap when you have no RESY_EMAIL/RESY_PASSWORD. Use when you want Resy data or actions without the MCP, in a script, or on a machine where the MCP isn't installed.

ClawHub Agent Skills author: chrischall v0.14.2 MIT-0 3 files body ≈ 1 094 tokens Open the sourceclawhub.ai analyzed 2 d ago

Query and act on Resy (resy.com restaurant reservations) from a shell without running the resy-mcp server — search venues, check slot availability…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
95
Quality 40%
88
Run on models
none yet
Process rating
C
53/100
Has gaps
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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • low Secrets in code secret-high-entropy-token references/resy-api.md:7
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      RESY_API_KEY='VbWk…7n5'   # public web-app key, see SKILL.md
      quoted
    • low Secrets in code secret-labelled-token SKILL.md:31
      Labelled token / key literal (vendor format unknown — verify it is not a live credential) (quoted — discussed, not commanded)
      -H 'Authorization: ResyAPI api_key="VbWk…7n5"' \
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:31
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      -H 'Authorization: ResyAPI api_key="VbWk…7n5"' \
      quoted
    • low Secrets in code secret-password-literal SKILL.md:31
      Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)
      -H 'Authorization: ResyAPI api_key="VbWk…7n5"' \
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:70
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      RESY_API_KEY='VbWk…7n5'   # override if Resy rotates it
      quoted

    Files scanned: 3. 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 53/100

    • 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. 3 mutating operations with no state check
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 100Steps. 10 steps
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1094 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 475: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 10 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: 88.

    External checks

    ClawHub: suspicious
    The skill is clearly for managing Resy reservations, but it asks for sensitive account/session access and an unpinned global browser-bridge install that users should review carefully.
    LLM: suspicious (high) · 10 Sept 2026