SKILLEMALL.ai

BF pdf-reader

Fast, bounded PDF extraction, full-text search, and metadata inspection for agent workflows. Use when reading reports, searching PDFs for evidence, or preparing document summaries.

ClawHub Agent Skills author: iyeque v1.2.2 MIT-0 3 files · 1 script body ≈ 260 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

Fast, bounded PDF extraction, full-text search, and metadata inspection for agent workflows.

As a process F 26/100 · No process to follow — weak spots: steps, result and completion, when it triggers

ProcedureData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
F
26/100
No process to follow
Steps w 15
0
Result and completion w 14
0
Inputs and preconditions w 11
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 · 0

    ✓ No critical or high findings

    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 26/100

    • 0Steps. Prose only: no discrete steps
    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (pdf-reader) differs from the folder (iyeque-pdf-reader)
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 100Execution cost. Instruction body is 260 tokens
    • 100Running it twice. No mutating operations

    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)
    • +3No numbered steps or checklist
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +3Description length 180: enough signal without eating the budget
    • +4Structure: 3 headings
    • +4Has examples (1 code blocks)
    • +1License stated

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

    External checks

    ClawHub: clean
    This is a straightforward local PDF reading and search skill with bounded page reads and no hidden persistence, network behavior, or credential access.
    LLM: benign (high) · VirusTotal: · 10 Oct 2026