SKILLEMALL.ai

AF tasteprint

Use when the user asks for product, shopping, gift, gear, or purchase recommendations; compares options; asks what to buy; wants to build, update, inspect, sync, or delete their Tasteprint preference profile; asks to analyze shopping/content/social behavior; or volunteers durable recommendation signals in conversation, including likes, dislikes, owned/bought/returned items, avoid rules, stable constraints, budget habits, style/material/brand/category preferences, evidence/source preferences, recommendation-format preferences, or corrections such as "remember", "do not remember", "I usually", "I no longer", or "avoid".

ClawHub Agent Skills author: zaodushi v0.1.0 MIT-0 2 files body ≈ 2 575 tokens Open the sourceclawhub.ai analyzed 2 d ago

compares options; asks what to buy; wants to build, update, inspect, sync, or delete their Tasteprint preference profile; asks to analyze…

As a process F 47/100 · Will not run — References files that are not bundled: references/browser-connection.md, references/conversation-signals.md, references/task-hypotheses.md

ProcedureMarketingPersonal productivitySoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
F
47/100
Will not run
References files that are not bundled: references/browser-connection.md, references/conversation-signals.md, references/task-hypotheses.md
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
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: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/browser-connection.md
  • warning missing-ref reference to a missing file: references/conversation-signals.md
  • warning missing-ref reference to a missing file: references/task-hypotheses.md
  • warning missing-ref reference to a missing file: references/recommender.md
  • warning missing-ref reference to a missing file: references/questionnaire-and-consent.md
  • warning missing-ref reference to a missing file: references/browser-guidelines.md
  • warning missing-ref reference to a missing file: references/data-schemas.md
  • warning missing-ref reference to a missing file: references/platforms/README.md
  • warning missing-ref reference to a missing file: references/profile-analysis.md
  • warning missing-ref reference to a missing file: references/domain-profile-template.md
  • warning missing-ref reference to a missing file: references/profile-template.md

Process rating: all ten parameters 47/100

Will not run. References files that are not bundled: references/browser-connection.md, references/conversation-signals.md, references/task-hypotheses.md
  • 0Tools and files. 11 referenced file(s) missing: references/browser-connection.md, references/conversation-signals.md, references/task-hypotheses.md
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 4 mutating operations with no state check
  • 40Consistency. Frontmatter name (tasteprint) differs from the folder (tasteprint-skill)
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 16 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Execution cost. Instruction body is 2575 tokens
  • high The skill tells the model to perform an irreversible action with no human approval
  • low The response is described with custom markup (15 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

  • +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
  • +5Description quotes 4 example trigger phrases
  • +3Description length 625: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 16 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: suspicious
This skill has a coherent recommendation-profile purpose, but it asks to collect and persist sensitive shopping, social, content, and ChatGPT behavior with incomplete scoping materials.
LLM: suspicious (high) · 18 Jul 2026