SKILLEMALL.ai

AB puzle-read-skill

Connect to Puzle Read — an intelligent reading workbench that helps users turn articles and documents into searchable personal knowledge. Save web articles (by URL or pre-fetched content), upload documents and files to the user's reading library, and search across everything they've read to find relevant insights. Use this skill whenever the user wants to: save or read web articles, add documents to their reading library, look up something from their reading collection, process PDFs or other files for deeper understanding, or build knowledge workflows around their readings. This skill also applies when the user wants to: save something for later reading ("read it later", "bookmark this", "save this article"), get a summary or analysis of an article or document, upload a file (PDF, image, audio, etc.) for processing, or organize their reading collection. Also trigger when you see imports of `puzle_reading` or `PuzleReadingClient`, or when the user mentions Puzle.

ClawHub Agent Skills author: ZinkLu v0.1.5 MIT-0 3 files body ≈ 5 501 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 74/100 · Nearly there — weak spots: consistency

IntegrationWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
B
74/100
Nearly there
Consistency w 8
40
Tools and files w 18
60
Result and completion w 14
60
the three weakest of ten parameters · all ten

How to improve

  1. 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 · 0

✓ No critical or high findings

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5501 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 74/100

  • 40Consistency. Frontmatter name (puzle-read-skill) differs from the folder (puzle-read)
  • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 5501 tokens
  • 100Steps. 42 steps
  • 100Failures and branches. 2 branches, has a failure section
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 12 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 976: 120–800 characters recommended
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +4Structure: 38 headings
  • +3Step-by-step instructions: 42 items
  • +3Output format is stated explicitly
  • +4Has examples (27 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

External checks

ClawHub: suspicious
The skill matches its stated Puzle reading-library purpose, but its broad activation rules could send links, files, pasted text, or protected content to Puzle when the user did not clearly choose that.
LLM: suspicious (high) · VirusTotal: · 29 May 2026