SKILLEMALL.ai

AA paperzilla-monitor

Monitor and discuss research papers from one Paperzilla project using the `pz` CLI inside OpenClaw. Use when users want recent papers, metadata, markdown-based summaries, why a paper matters for current work, a recurring weekday brief, or Paperzilla feed triage in chat.

ClawHub Agent Skills author: Mark Pors 🦖 v1.1.4 MIT-0 3 files body ≈ 2 094 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process A 85/100 · Runs to the end — weak spots: consistency, running it twice

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
A
85/100
Runs to the end
Running it twice w 4
30
Consistency w 8
40
Result and completion w 14
60
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 · 0

    ✓ No critical or high findings

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

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 85/100

    • 30Running it twice. 4 mutating operations with no state check
    • 40Consistency. Frontmatter name (paperzilla-monitor) differs from the folder (paperzilla-research-monitor)
    • 60Result and completion. Output format stated, no completion criterion
    • 85Steps. 105 steps, 1 vague phrases
    • 100Tools and files. Tools declared in frontmatter
    • 100When it triggers. States when to use and when not to
    • 100Inputs and preconditions. Inputs and preconditions are listed
    • 100Failures and branches. 5 branches, has a failure section
    • 100Execution cost. Instruction body is 2094 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 10 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +2Single-language instructions
    • +3Description length 270: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 105 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    This is a coherent Paperzilla research-brief helper that uses an existing authenticated CLI and optional Telegram delivery, with limited disclosed state for recurring briefs.
    LLM: benign (high) · VirusTotal: · 29 May 2026