BF paper-digest
Given an arXiv ID or URL, fetch the paper, spawn sub-agents to read its key citations, and write an executive summary under.
Given an arXiv ID or URL, fetch the paper, spawn sub-agents to read its key citations, and write an executive summary under.
As a process F 53/100 · Will not run — References files that are not bundled: <arxiv_link>, <arxiv_or_url>
GeneratorResearchAI and agentsWriting and documentstype and topics are labelled automatically from the skill text
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: <arxiv_link> - warning
missing-refreference to a missing file: <arxiv_or_url>
Process rating: all ten parameters 53/100
Will not run. References files that are not bundled: <arxiv_link>, <arxiv_or_url>
- 0Tools and files. 2 referenced file(s) missing: <arxiv_link>, <arxiv_or_url>
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 18 steps
- 100Failures and branches. 5 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 799 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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 124: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 18 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.
External checks
ClawHub: suspicious
This arXiv summarizer appears purpose-built, but it needs Review because remote paper content and extracted IDs can drive sub-agents, web requests, and persistent local file writes without clear validation or instruction isolation.
LLM: suspicious (medium) · VirusTotal: · 11 Sept 2026